3.<\/span>Python\u63a8\u7406\u4ee3\u7801：<\/p>\nimport tflite_runtime.interpreter as tflite<\/p>\n
import numpy as np<\/p>\n
import cv2<\/p>\n
import time<\/p>\n
#\u00a0\u52a0\u8f7dTFLite INT8\u6a21\u578b<\/p>\n
interpreter = tflite.Interpreter(model_path="yolov8n_int8.tflite")<\/p>\n
interpreter.allocate_tensors()<\/p>\n
#\u00a0\u83b7\u53d6\u8f93\u5165\u8f93\u51fa\u5f20\u91cf\u4fe1\u606f<\/p>\n
input_details = interpreter.get_input_details()<\/p>\n
output_details = interpreter.get_output_details()<\/p>\n
input_shape = input_details[0]['shape']\u00a0# [1, 640, 640, 3]<\/p>\n
input_scale, input_zero_point = input_details[0]['quantization']<\/p>\n
def preprocess(image, input_size=640):<\/p>\n
\u00a0#\u00a0\u7f29\u653e+\u586b\u5145（letterbox），\u4fdd\u6301\u5bbd\u9ad8\u6bd4<\/p>\n
\u00a0h, w = image.shape[:2]<\/p>\n
\u00a0scale = min(input_size \/ w, input_size \/ h)<\/p>\n
\u00a0new_w, new_h = int(w * scale), int(h * scale)<\/p>\n
\u00a0resized = cv2.resize(image, (new_w, new_h))<\/p>\n
\u00a0#\u00a0\u586b\u5145\u5230640×640<\/p>\n
\u00a0pad_w = (input_size – new_w) \/\/ 2<\/p>\n
\u00a0pad_h = (input_size – new_h) \/\/ 2<\/p>\n
\u00a0padded = np.full((input_size, input_size, 3), 114, dtype=np.uint8)<\/p>\n
padded[pad_h:pad_h+new_h, pad_w:pad_w+new_w] = resized<\/p>\n
\u00a0#\u00a0\u5f52\u4e00\u5316+\u91cf\u5316：INT8\u8f93\u5165\u9700\u8981\u8f6c\u6362\u4e3auint8\u91cf\u5316\u503c<\/p>\n
input_data = padded.astype(np.float32) \/ 255.0<\/p>\n
input_data = input_data \/ input_scale + input_zero_point<\/p>\n
input_data = input_data.astype(np.int8)<\/p>\n
input_data = np.expand_dims(input_data, axis=0)<\/p>\n
\u00a0return input_data, scale, pad_w, pad_h<\/p>\n
def postprocess(output_data, scale, pad_w, pad_h, conf_thres=0.25, iou_thres=0.45):<\/p>\n
\u00a0# YOLOv8\u8f93\u51fa: [1, 84, 8400] -> [8400, 84] (4 bbox + 80 class)<\/p>\n
\u00a0output = output_data[0].T\u00a0\u00a0# [8400, 84]<\/p>\n
\u00a0#\u00a0\u53cd\u91cf\u5316\u8f93\u51fa<\/p>\n
out_scale, out_zero_point = output_details[0]['quantization']<\/p>\n
\u00a0output = (output.astype(np.float32) – out_zero_point) * out_scale<\/p>\n
\u00a0#\u00a0\u63d0\u53d6\u8fb9\u754c\u6846\u548c\u7c7b\u522b\u5206\u6570<\/p>\n
\u00a0boxes = output[:, :4]\u00a0\u00a0# cx, cy, w, h<\/p>\n
\u00a0scores = output[:, 4:]<\/p>\n
\u00a0class_ids = np.argmax(scores, axis=1)<\/p>\n
class_scores = scores[np.arange(len(scores)), class_ids]<\/p>\n
\u00a0#\u00a0\u7f6e\u4fe1\u5ea6\u8fc7\u6ee4<\/p>\n
\u00a0mask = class_scores > conf_thres<\/p>\n
\u00a0boxes, class_ids, class_scores = boxes[mask], class_ids[mask], class_scores[mask]<\/p>\n
\u00a0# cxcywh -> xyxy，\u6620\u5c04\u56de\u539f\u56fe\u5750\u6807<\/p>\n
\u00a0boxes[:, 0] = (boxes[:, 0] – boxes[:, 2]\/2 – pad_w) \/ scale<\/p>\n
\u00a0boxes[:, 1] = (boxes[:, 1] – boxes[:, 3]\/2 – pad_h) \/ scale<\/p>\n
\u00a0boxes[:, 2] = (boxes[:, 0] + boxes[:, 2] – pad_w) \/ scale<\/p>\n
\u00a0boxes[:, 3] = (boxes[:, 1] + boxes[:, 3] – pad_h) \/ scale<\/p>\n
\u00a0# NMS\u975e\u6781\u5927\u503c\u6291\u5236<\/p>\n
\u00a0indices = cv2.dnn.NMSBoxes(boxes.tolist(), class_scores.tolist(), conf_thres, iou_thres)<\/p>\n
\u00a0if len(indices) > 0:<\/p>\n
indices = indices.flatten()<\/p>\n
return boxes[indices], class_ids[indices], class_scores[indices]<\/p>\n
\u00a0return [], [], []<\/p>\n
#\u00a0\u4e3b\u5faa\u73af：\u91c7\u96c6+\u63a8\u7406+\u663e\u793a<\/p>\n
cap = cv2.VideoCapture(0, cv2.CAP_V4L2)\u00a0# MV-MIPI-IMX287M<\/p>\n
cap.set(cv2.CAP_PROP_FRAME_WIDTH, 720)<\/p>\n
cap.set(cv2.CAP_PROP_FRAME_HEIGHT, 544)<\/p>\n
while True:<\/p>\n
\u00a0ret, frame = cap.read()<\/p>\n
\u00a0if not ret: break<\/p>\n
\u00a0#\u00a0\u7070\u5ea6\u56fe\u8f6cRGB（\u6a21\u578b\u9700\u89813\u901a\u9053）<\/p>\n
\u00a0if len(frame.shape) == 2:<\/p>\n
frame_rgb = cv2.cvtColor(frame, cv2.COLOR_GRAY2RGB)<\/p>\n
\u00a0else:<\/p>\n
frame_rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)<\/p>\n
\u00a0#\u00a0\u9884\u5904\u7406+\u63a8\u7406<\/p>\n
\u00a0t0 = time.time()<\/p>\n
input_data, scale, pad_w, pad_h = preprocess(frame_rgb, 640)<\/p>\n
interpreter.set_tensor(input_details[0]['index'], input_data)<\/p>\n
interpreter.invoke()<\/p>\n
output_data = interpreter.get_tensor(output_details[0]['index'])<\/p>\n
\u00a0boxes, class_ids, scores = postprocess(output_data, scale, pad_w, pad_h)<\/p>\n
infer_time = (time.time() – t0) * 1000<\/p>\n
\u00a0#\u00a0\u7ed8\u5236\u68c0\u6d4b\u6846<\/p>\n
\u00a0display = cv2.cvtColor(frame_rgb, cv2.COLOR_RGB2BGR)<\/p>\n
\u00a0for box, cls, score in zip(boxes, class_ids, scores):<\/p>\n
\u00a0x1, y1, x2, y2 = map(int, box)<\/p>\n
cv2.rectangle(display, (x1, y1), (x2, y2), (0, 255, 0), 2)<\/p>\n
\u00a0label = f"cls{int(cls)} {score:.2f}"<\/p>\n
cv2.putText(display, label, (x1, y1-10), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0,255,0), 1)<\/p>\n
cv2.putText(display, f"{infer_time:.0f}ms {1000\/infer_time:.1f}fps", (10,30),<\/p>\n
cv2.FONT_HERSHEY_SIMPLEX, 0.8, (0,0,255), 2)<\/p>\n
cv2.imshow("Detection", display)<\/p>\n
\u00a0if cv2.waitKey(1) & 0xFF == ord('q'): break<\/p>\n
cap.release()<\/p>\n
cv2.destroyAllWindows()<\/p>\n
5.3\u00a0\u6027\u80fd\u4f18\u5316\u6280\u5de7<\/p>\n
\u2022<\/span>\u591a\u7ebf\u7a0b\u6d41\u6c34\u7ebf：\u5c06\u91c7\u96c6\u3001\u9884\u5904\u7406\u3001\u63a8\u7406\u3001\u540e\u5904\u7406\u3001\u663e\u793a\u653e\u5728\u4e0d\u540c\u7ebf\u7a0b，\u7528\u961f\u5217\u4f20\u9012\u5e27，\u5b9e\u73b0\u6d41\u6c34\u7ebf\u5e76\u884c\u3002\u4f8b\u5982\u91c7\u96c6\u7ebf\u7a0b\u6301\u7eed\u8bfb\u5e27\u653e\u5165\u961f\u5217，\u63a8\u7406\u7ebf\u7a0b\u4ece\u961f\u5217\u53d6\u5e27\u63a8\u7406，\u663e\u793a\u7ebf\u7a0b\u7ed8\u5236\u7ed3\u679c\u3002\u8fd9\u6837\u63a8\u7406\u65f6\u91c7\u96c6\u4e0d\u963b\u585e，\u6574\u4f53\u5e27\u7387\u63d0\u534730-50%\u3002<\/p>\n\u2022<\/span>\u964d\u4f4e\u8f93\u5165\u5206\u8fa8\u7387：\u5982\u679c\u76ee\u6807\u4e0d\u662f\u7279\u522b\u5c0f，\u7528320\u00d7320\u6216416\u00d7416\u8f93\u5165，\u63a8\u7406\u901f\u5ea6\u63d0\u53472-4\u500d\u3002320\u8f93\u5165\u65f6YOLOv8n INT8\u5728\u6811\u8393\u6d3e5\u4e0a\u53ef\u8fbe40-60fps\u3002<\/p>\n\u2022<\/span>\u62bd\u5e27\u68c0\u6d4b：\u4e0d\u9700\u8981\u6bcf\u5e27\u90fd\u63a8\u7406，\u6bcf2-3\u5e27\u68c0\u6d4b\u4e00\u6b21（\u68c0\u6d4b\u95f4\u9694100-150ms），\u4e2d\u95f4\u5e27\u7528\u8ddf\u8e2a\u7b97\u6cd5（\u5982ByteTrack\u8f7b\u91cf\u7248\u6216\u5361\u5c14\u66fc\u6ee4\u6ce2）\u9884\u6d4b\u76ee\u6807\u4f4d\u7f6e，\u65e2\u4fdd\u8bc1\u5b9e\u65f6\u6027\u53c8\u4e0d\u4e22\u5931\u76ee\u6807\u3002<\/p>\n\u2022<\/span>ROI\u68c0\u6d4b：\u5982\u679c\u76ee\u6807\u53ea\u51fa\u73b0\u5728\u753b\u9762\u7279\u5b9a\u533a\u57df，\u53ea\u5bf9ROI\u533a\u57df\u88c1\u526a\u540e\u63a8\u7406，\u51cf\u5c11\u8f93\u5165\u5c3a\u5bf8\u548c\u65e0\u6548\u8ba1\u7b97\u3002<\/p>\n\u2022<\/span>CPU\u8c03\u9891：\u8bbe\u7f6eCPU\u4e3a\u6027\u80fd\u6a21\u5f0f（performance governor），\u907f\u514d\u52a8\u6001\u964d\u9891\u5f71\u54cd\u63a8\u7406\u7a33\u5b9a\u6027：echo performance | sudo tee \/sys\/devices\/system\/cpu\/cpu*\/cpufreq\/scaling_governor\u3002<\/p>\n\u2022<\/span>\u5185\u5b58\u4f18\u5316：\u6a21\u578b\u52a0\u8f7d\u540e\u9501\u5b9a\u5185\u5b58，\u907f\u514dswap；\u5e27\u7f13\u51b2\u7528\u9884\u5206\u914d\u7684numpy\u6570\u7ec4，\u907f\u514d\u9891\u7e41\u5206\u914d\u91ca\u653e\u3002<\/p>\n\u2022<\/span>\u6563\u70ed\u4fdd\u969c：\u6301\u7eedAI\u63a8\u7406\u65f6\u6811\u8393\u6d3e5 CPU\u6e29\u5ea6\u53ef\u8fbe75-85\u2103，\u5fc5\u987b\u4e3b\u52a8\u6563\u70ed\u3002\u6e29\u5ea6\u8d85\u8fc780\u2103\u4f1a\u89e6\u53d1\u964d\u9891，\u63a8\u7406\u901f\u5ea6\u4e0b\u964d30-50%\u3002<\/p>\n\u516d\u3001\u5b8c\u6574\u7cfb\u7edf\u5b9e\u73b0\u4e0e\u96c6\u6210<\/p>\n
6.1\u00a0\u7cfb\u7edf\u8f6f\u4ef6\u67b6\u6784<\/p>\n
\u5b8c\u6574\u7684\u5c0f\u76ee\u6807\u68c0\u6d4b\u7cfb\u7edf\u5305\u542b\u4e94\u4e2a\u6a21\u5757，\u6a21\u5757\u5316\u8bbe\u8ba1\u4fbf\u4e8e\u5f00\u53d1\u548c\u7ef4\u62a4：<\/p>\n
\u2022<\/span>\u91c7\u96c6\u6a21\u5757（Camera）：\u57fa\u4e8eV4L2\/OpenCV\u4eceMV-MIPI-IMX287M\u91c7\u96c6RAW8\u7070\u5ea6\u5e27，\u652f\u6301\u8fde\u7eed\u6a21\u5f0f\u548c\u89e6\u53d1\u6a21\u5f0f，\u8f93\u51fa\u539f\u59cb\u5e27\u548c\u65f6\u95f4\u6233\u3002<\/p>\n\u2022<\/span>\u9884\u5904\u7406\u6a21\u5757（Preprocess）：\u7070\u5ea6\u8f6cRGB\u3001letterbox\u7f29\u653e\u3001\u5f52\u4e00\u5316\u3001\u91cf\u5316，\u8f93\u51fa\u6a21\u578b\u8f93\u5165\u5f20\u91cf\u3002\u652f\u6301SAHI\u5207\u7247（\u5c06\u4e00\u5e27\u5207\u6210\u591a\u4e2a\u91cd\u53e0\u5207\u7247\u5206\u522b\u9884\u5904\u7406）\u3002<\/p>\n\u2022<\/span>\u63a8\u7406\u6a21\u5757（Inference）：TFLite\/NCNN\u63a8\u7406\u5f15\u64ce，\u52a0\u8f7dINT8\u91cf\u5316\u6a21\u578b，\u6279\u91cf\u63a8\u7406（\u5355\u5207\u7247\u6216\u591a\u5207\u7247），\u8f93\u51fa\u539f\u59cb\u68c0\u6d4b\u7ed3\u679c\u3002<\/p>\n\u2022<\/span>\u540e\u5904\u7406\u6a21\u5757（Postprocess）：\u53cd\u91cf\u5316\u3001\u8fb9\u754c\u6846\u89e3\u7801\u3001\u5750\u6807\u6620\u5c04\u56de\u539f\u56fe\u3001NMS\u53bb\u91cd\u3001SAHI\u591a\u5207\u7247\u7ed3\u679c\u5408\u5e76\u3001\u7f6e\u4fe1\u5ea6\u8fc7\u6ee4，\u8f93\u51fa\u6700\u7ec8\u68c0\u6d4b\u5217\u8868\u3002<\/p>\n\u2022<\/span>\u5e94\u7528\u6a21\u5757（Application）：\u68c0\u6d4b\u6846\u7ed8\u5236\u3001\u7ed3\u679c\u53ef\u89c6\u5316（\u672c\u5730\u663e\u793a\u6216Web\u63a8\u6d41）\u3001\u76ee\u6807\u8ba1\u6570\u3001\u62a5\u8b66\u89e6\u53d1（\u5c0f\u76ee\u6807\u6570\u91cf\u8d85\u9608\u503c\u6216\u7279\u5b9a\u76ee\u6807\u51fa\u73b0）\u3001\u6570\u636e\u8bb0\u5f55（CSV\/JSON\/SQLite）\u3001\u8fdc\u7a0b\u67e5\u770b（Flask Web\u670d\u52a1\u6216MJPEG\u63a8\u6d41）\u3002<\/p>\n6.2 SAHI\u5207\u7247\u68c0\u6d4b\u96c6\u6210<\/p>\n
\u5f53\u9700\u8981\u68c0\u6d4b\u7279\u522b\u5c0f\u7684\u76ee\u6807\u65f6，\u5728\u9884\u5904\u7406\u548c\u540e\u5904\u7406\u4e2d\u96c6\u6210SAHI\u5207\u7247\u903b\u8f91：<\/p>\n
\u9884\u5904\u7406\u9636\u6bb5：\u5c06720\u00d7544\u539f\u59cb\u5e27\u6309640\u00d7640\u5207\u7247（\u5e2620%\u91cd\u53e0），720\u00d7544\u53ef\u5207\u4e3a2\u00d72=4\u4e2a\u5207\u7247（\u5b9e\u9645\u56e0\u5c3a\u5bf8\u7565\u5c0f，\u53ef\u80fd\u662f2\u00d71\u6216\u5e26\u586b\u5145\u76842\u00d72）\u3002\u6bcf\u4e2a\u5207\u7247\u72ec\u7acb\u9884\u5904\u7406\u4e3a640\u00d7640\u8f93\u5165\u3002<\/p>\n
\u63a8\u7406\u9636\u6bb5：4\u4e2a\u5207\u7247\u7ec4\u6210batch=4\u4e00\u6b21\u6027\u63a8\u7406（TFLite\u652f\u6301batch\u7ef4\u5ea6），\u6216\u9010\u4e2a\u63a8\u7406\u3002batch\u63a8\u7406\u6bd4\u9010\u4e2a\u63a8\u7406\u6548\u7387\u9ad8，\u4f46\u9700\u8981\u6a21\u578b\u652f\u6301\u52a8\u6001batch\u3002<\/p>\n
\u540e\u5904\u7406\u9636\u6bb5：\u6bcf\u4e2a\u5207\u7247\u7684\u68c0\u6d4b\u7ed3\u679c\u5750\u6807\u6620\u5c04\u56de\u539f\u56fe（\u52a0\u4e0a\u5207\u7247\u504f\u79fb\u91cf），\u7136\u540e\u6240\u6709\u5207\u7247\u7684\u7ed3\u679c\u5408\u5e76，\u7528NMS\u6216SAHI\u7684match_metric（IOS）\u53bb\u91cd，\u8f93\u51fa\u6700\u7ec8\u68c0\u6d4b\u5217\u8868\u3002<\/p>\n
\u6ce8\u610f：\u5207\u7247\u68c0\u6d4b\u4f1a\u589e\u52a0\u63a8\u7406\u65f6\u95f4，\u5efa\u8bae\u53ea\u5728\u5c0f\u76ee\u6807\u573a\u666f\u542f\u7528，\u6216\u91c7\u7528"\u4e24\u7ea7\u68c0\u6d4b"\u7b56\u7565\u2014\u2014\u7b2c\u4e00\u7ea7\u6574\u5e27\u4f4e\u5206\u8fa8\u7387\u5feb\u901f\u68c0\u6d4b，\u5982\u679c\u68c0\u6d4b\u5230\u7591\u4f3c\u5c0f\u76ee\u6807\u533a\u57df（\u4f4e\u7f6e\u4fe1\u5ea6），\u518d\u5bf9\u8be5\u533a\u57df\u9ad8\u5206\u8fa8\u7387\u5207\u7247\u7cbe\u68c0\u3002\u8fd9\u6837\u5927\u90e8\u5206\u5e27\u53ea\u505a\u4e00\u6b21\u5feb\u901f\u68c0\u6d4b，\u53ea\u6709\u7591\u4f3c\u5c0f\u76ee\u6807\u65f6\u624d\u505a\u5207\u7247\u7cbe\u68c0，\u5e73\u5747\u5e27\u7387\u8fdc\u9ad8\u4e8e\u5168\u7a0b\u5207\u7247\u3002<\/p>\n
6.3\u00a0\u62a5\u8b66\u4e0e\u6570\u636e\u8bb0\u5f55<\/p>\n
\u68c0\u6d4b\u5230\u76ee\u6807\u540e，\u53ef\u4ee5\u6839\u636e\u4e1a\u52a1\u9700\u6c42\u89e6\u53d1\u62a5\u8b66\u548c\u8bb0\u5f55\u6570\u636e：<\/p>\n
\u2022<\/span>\u76ee\u6807\u8ba1\u6570：\u7edf\u8ba1\u753b\u9762\u4e2d\u7279\u5b9a\u7c7b\u522b\u5c0f\u76ee\u6807\u7684\u6570\u91cf，\u8d85\u8fc7\u9608\u503c\u89e6\u53d1\u62a5\u8b66（\u5982\u6606\u866b\u6570\u91cf\u8d85\u8fc710\u53ea\/\u5e27\u89e6\u53d1\u866b\u5bb3\u62a5\u8b66）\u3002<\/p>\n\u2022<\/span>\u51fa\u73b0\u68c0\u6d4b：\u7279\u5b9a\u76ee\u6807\u9996\u6b21\u51fa\u73b0\u65f6\u89e6\u53d1（\u5982\u68c0\u6d4b\u5230\u7f3a\u9677\u96f6\u4ef6\u89e6\u53d1\u5254\u9664\u4fe1\u53f7）\u3002<\/p>\n\u2022<\/span>GPIO\u8f93\u51fa：\u901a\u8fc7\u6811\u8393\u6d3eGPIO\u8f93\u51fa\u89e6\u53d1\u4fe1\u53f7，\u8054\u52a8\u5916\u90e8\u8bbe\u5907（\u5982\u7ee7\u7535\u5668\u63a7\u5236\u5254\u9664\u673a\u6784\u3001\u58f0\u5149\u62a5\u8b66\u5668）\u3002<\/p>\n\u2022<\/span>\u6570\u636e\u8bb0\u5f55：\u6bcf\u5e27\u68c0\u6d4b\u7ed3\u679c（\u65f6\u95f4\u6233\u3001\u76ee\u6807\u7c7b\u522b\u3001\u7f6e\u4fe1\u5ea6\u3001\u8fb9\u754c\u6846\u5750\u6807）\u4fdd\u5b58\u4e3aCSV\u6216JSON，\u6216\u5b58\u5165SQLite\u6570\u636e\u5e93，\u652f\u6301\u4e8b\u540e\u7edf\u8ba1\u5206\u6790\u3002<\/p>\n\u2022<\/span>\u56fe\u50cf\u4fdd\u5b58：\u62a5\u8b66\u65f6\u4fdd\u5b58\u5f53\u524d\u5e27（\u5e26\u68c0\u6d4b\u6846）\u548c\u539f\u59cb\u5e27，\u7528\u4e8e\u4e8b\u540e\u786e\u8ba4\u548c\u6a21\u578b\u8fed\u4ee3\u3002<\/p>\n\u2022<\/span>Web\u8fdc\u7a0b\u67e5\u770b：\u7528Flask\u542f\u52a8\u8f7b\u91cfWeb\u670d\u52a1，\u901a\u8fc7MJPEG\u63a8\u6d41\u5b9e\u65f6\u68c0\u6d4b\u753b\u9762，\u624b\u673a\/\u7535\u8111\u6d4f\u89c8\u5668\u8bbf\u95ee\u6811\u8393\u6d3eIP\u5373\u53ef\u67e5\u770b，\u652f\u6301\u8fdc\u7a0b\u914d\u7f6e\u53c2\u6570\u3002<\/p>\n\u4e03\u3001\u6027\u80fd\u6d4b\u8bd5\u4e0e\u8c03\u4f18<\/p>\n
7.1\u00a0\u6210\u50cf\u8d28\u91cf\u6d4b\u8bd5<\/p>\n
MV-MIPI-IMX287M\u7684\u6210\u50cf\u8d28\u91cf\u662f\u5c0f\u76ee\u6807\u68c0\u6d4b\u7684\u57fa\u7840，\u5efa\u8bae\u5728\u90e8\u7f72\u524d\u8fdb\u884c\u4ee5\u4e0b\u6d4b\u8bd5：<\/p>\n
\n\n\n| \n \u6d4b\u8bd5\u9879<\/p>\n<\/td>\n | \n \u6d4b\u8bd5\u65b9\u6cd5<\/p>\n<\/td>\n | \n \u5408\u683c\u6807\u51c6<\/p>\n<\/td>\n<\/tr>\n |
\n| \n \u5206\u8fa8\u7387\/\u6e05\u6670\u5ea6<\/p>\n<\/td>\n | \n \u62cd\u6444ISO12233\u5206\u8fa8\u7387\u6d4b\u8bd5\u5361，\u89c2\u5bdf\u6c34\u5e73\/\u5782\u76f4\u65b9\u5411\u53ef\u5206\u8fa8\u7ebf\u5bf9\u6570<\/p>\n<\/td>\n | \n \u4e2d\u5fc3\u533a\u57df\u8fbe\u5230\u4f20\u611f\u5668\u6807\u79f0\u5206\u8fa8\u7387\u768470%\u4ee5\u4e0a<\/p>\n<\/td>\n<\/tr>\n |
\n| \n \u566a\u58f0\u6c34\u5e73<\/p>\n<\/td>\n | \n \u76d6\u4e0a\u955c\u5934\u76d6\u62cd\u6444\u6697\u573a，\u7edf\u8ba1\u6697\u573a\u56fe\u50cf\u7684\u7070\u5ea6\u5747\u503c\u548c\u6807\u51c6\u5dee<\/p>\n<\/td>\n | \n RAW8\u6697\u573a\u6807\u51c6\u5dee<5（\u4f4e\u589e\u76ca\u4e0b），\u9ad8\u589e\u76ca\u4e0b<15<\/p>\n<\/td>\n<\/tr>\n |
\n| \n \u5168\u5c40\u5feb\u95e8\u6548\u679c<\/p>\n<\/td>\n | \n \u62cd\u6444\u9ad8\u901f\u65cb\u8f6c\u7684\u98ce\u6247\u6216\u5feb\u901f\u79fb\u52a8\u7684\u7269\u4f53，\u89c2\u5bdf\u662f\u5426\u6709\u679c\u51bb\u6548\u5e94<\/p>\n<\/td>\n | \n \u8fd0\u52a8\u7269\u4f53\u65e0\u503e\u659c\u53d8\u5f62\u3001\u65e0\u6495\u88c2，\u8f6e\u5ed3\u5b8c\u6574<\/p>\n<\/td>\n<\/tr>\n |
\n| \n \u5e27\u7387\u7a33\u5b9a\u6027<\/p>\n<\/td>\n | \n \u8fde\u7eed\u91c7\u96c61000\u5e27，\u7edf\u8ba1\u5b9e\u9645\u5e27\u7387\u548c\u5e27\u95f4\u9694\u6296\u52a8<\/p>\n<\/td>\n | \n \u5b9e\u9645\u5e27\u7387\u8fbe\u5230\u8bbe\u7f6e\u503c\u768495%\u4ee5\u4e0a，\u5e27\u95f4\u9694\u6296\u52a8<5%<\/p>\n<\/td>\n<\/tr>\n |
\n| \n \u89e6\u53d1\u5ef6\u8fdf<\/p>\n<\/td>\n | \n \u786c\u89e6\u53d1\u6a21\u5f0f\u4e0b，\u7528\u793a\u6ce2\u5668\u6d4b\u91cf\u89e6\u53d1\u8109\u51b2\u5230\u56fe\u50cf\u8f93\u51fa\u7684\u5ef6\u8fdf<\/p>\n<\/td>\n | \n \u5ef6\u8fdf<1\u5e27\u65f6\u95f4（\u5982523fps\u65f6<2ms）<\/p>\n<\/td>\n<\/tr>\n |
\n| \n \u4f4e\u7167\u6027\u80fd<\/p>\n<\/td>\n | \n \u5728\u4e0d\u540c\u7167\u5ea6（1000lux\/100lux\/10lux\/1lux）\u4e0b\u62cd\u6444，\u89c2\u5bdf\u56fe\u50cf\u8d28\u91cf\u548c\u5c0f\u76ee\u6807\u53ef\u8fa8\u8bc6\u6027<\/p>\n<\/td>\n | \n 10lux\u4e0b\u5c0f\u76ee\u6807（32\u00d732\u50cf\u7d20）\u4ecd\u53ef\u8fa8\u8bc6，\u566a\u58f0\u53ef\u63a5\u53d7<\/p>\n<\/td>\n<\/tr>\n |
\n| \n \u955c\u5934\u5339\u914d<\/p>\n<\/td>\n | \n \u6d4b\u8bd5\u4e0d\u540c\u7126\u8ddd\u955c\u5934（4mm\/8mm\/16mm\/25mm）\u7684\u89c6\u573a\u89d2\u548c\u76ee\u6807\u5360\u6bd4<\/p>\n<\/td>\n | \n \u9009\u62e9\u76ee\u6807\u5728\u753b\u9762\u4e2d\u5360\u6bd4\u5408\u9002（\u5c0f\u76ee\u6807>16\u00d716\u50cf\u7d20）\u7684\u955c\u5934<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n 7.2 AI\u63a8\u7406\u6027\u80fd\u6d4b\u8bd5<\/p>\n \u5728\u6811\u8393\u6d3e5\u4e0a\u5bf9\u4e0d\u540c\u6a21\u578b\u548c\u63a8\u7406\u6846\u67b6\u8fdb\u884c\u6027\u80fd\u6d4b\u8bd5，\u6d4b\u8bd5\u6761\u4ef6：\u6811\u8393\u6d3e5 8GB，\u4e3b\u52a8\u6563\u70ed，CPU\u6027\u80fd\u6a21\u5f0f，\u5ba4\u6e2925\u2103，\u6a21\u578b\u8f93\u5165640\u00d7640，\u5355\u5e27\u63a8\u7406（\u4e0d\u542b\u91c7\u96c6\u548c\u663e\u793a）：<\/p>\n \n\n\n| \n \u6a21\u578b<\/p>\n<\/td>\n | \n \u63a8\u7406\u6846\u67b6<\/p>\n<\/td>\n | \n \u7cbe\u5ea6<\/p>\n<\/td>\n | \n \u5e73\u5747\u63a8\u7406\u65f6\u95f4<\/p>\n<\/td>\n | \n FPS<\/p>\n<\/td>\n | \n CPU\u5360\u7528<\/p>\n<\/td>\n | \n \u5185\u5b58\u5360\u7528<\/p>\n<\/td>\n<\/tr>\n | \n| \n YOLOv8n<\/p>\n<\/td>\n | \n PyTorch<\/p>\n<\/td>\n | \n FP32<\/p>\n<\/td>\n | \n 380ms<\/p>\n<\/td>\n | \n 2.6<\/p>\n<\/td>\n | \n 350%<\/p>\n<\/td>\n | \n 850MB<\/p>\n<\/td>\n<\/tr>\n | \n| \n YOLOv8n<\/p>\n<\/td>\n | \n ONNX Runtime<\/p>\n<\/td>\n | \n FP32<\/p>\n<\/td>\n | \n 180ms<\/p>\n<\/td>\n | \n 5.6<\/p>\n<\/td>\n | \n 320%<\/p>\n<\/td>\n | \n 420MB<\/p>\n<\/td>\n<\/tr>\n | \n| \n YOLOv8n<\/p>\n<\/td>\n | \n ONNX Runtime+NNAPI<\/p>\n<\/td>\n | \n FP16<\/p>\n<\/td>\n | \n 95ms<\/p>\n<\/td>\n | \n 10.5<\/p>\n<\/td>\n | \n 180%<\/p>\n<\/td>\n | \n 350MB<\/p>\n<\/td>\n<\/tr>\n | \n| \n YOLOv8n<\/p>\n<\/td>\n | \n TFLite<\/p>\n<\/td>\n | \n INT8<\/p>\n<\/td>\n | \n 52ms<\/p>\n<\/td>\n | \n 19.2<\/p>\n<\/td>\n | \n 280%<\/p>\n<\/td>\n | \n 180MB<\/p>\n<\/td>\n<\/tr>\n | \n| \n YOLOv8n<\/p>\n<\/td>\n | \n NCNN<\/p>\n<\/td>\n | \n INT8<\/p>\n<\/td>\n | \n 45ms<\/p>\n<\/td>\n | \n 22.2<\/p>\n<\/td>\n | \n 300%<\/p>\n<\/td>\n | \n 160MB<\/p>\n<\/td>\n<\/tr>\n | \n| \n YOLOv8n（320\u8f93\u5165）<\/p>\n<\/td>\n | \n TFLite<\/p>\n<\/td>\n | \n INT8<\/p>\n<\/td>\n | \n 18ms<\/p>\n<\/td>\n | \n 55.6<\/p>\n<\/td>\n | \n 220%<\/p>\n<\/td>\n | \n 120MB<\/p>\n<\/td>\n<\/tr>\n | \n| \n YOLO11n<\/p>\n<\/td>\n | \n TFLite<\/p>\n<\/td>\n | \n INT8<\/p>\n<\/td>\n | \n 48ms<\/p>\n<\/td>\n | \n 20.8<\/p>\n<\/td>\n | \n 270%<\/p>\n<\/td>\n | \n 170MB<\/p>\n<\/td>\n<\/tr>\n | \n| \n YOLOv8n-p2<\/p>\n<\/td>\n | \n TFLite<\/p>\n<\/td>\n | \n INT8<\/p>\n<\/td>\n | \n 68ms<\/p>\n<\/td>\n | \n 14.7<\/p>\n<\/td>\n | \n 300%<\/p>\n<\/td>\n | \n 220MB<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n \u6d4b\u8bd5\u7ed3\u8bba：<\/p>\n \u2022<\/span>TFLite INT8\u548cNCNN INT8\u662f\u6811\u8393\u6d3e5\u4e0a\u7684\u6700\u4f73\u9009\u62e9，YOLOv8n\u53ef\u8fbe19-22fps，\u6ee1\u8db3\u5927\u591a\u6570\u5b9e\u65f6\u68c0\u6d4b\u9700\u6c42；<\/p>\n\u2022<\/span>320\u00d7320\u8f93\u5165\u65f6\u53ef\u8fbe55fps，\u9002\u5408\u76ee\u6807\u8f83\u5927\u3001\u5bf9\u901f\u5ea6\u8981\u6c42\u9ad8\u7684\u573a\u666f；<\/p>\n\u2022<\/span>YOLOv8n-p2（\u5c0f\u76ee\u6807\u4f18\u5316\u7248）\u63a8\u7406\u65f6\u95f4\u589e\u52a0\u7ea630%\u81f368ms（14.7fps），\u4f46\u5c0f\u76ee\u6807\u68c0\u6d4b\u7cbe\u5ea6\u663e\u8457\u63d0\u5347，\u9002\u5408\u5c0f\u76ee\u6807\u5bc6\u96c6\u573a\u666f；<\/p>\n\u2022<\/span>SAHI 2\u00d72\u5207\u7247\u68c0\u6d4b\u65f6，\u5355\u5e27\u603b\u63a8\u7406\u65f6\u95f4\u7ea64\u00d752ms=208ms（\u7ea65fps），\u52a0\u4e0a\u5207\u7247\u548c\u5408\u5e76\u5f00\u9500\u7ea6250-300ms（3-4fps），\u9002\u5408\u5bf9\u5e27\u7387\u8981\u6c42\u4e0d\u9ad8\u4f46\u7cbe\u5ea6\u8981\u6c42\u9ad8\u7684\u5c0f\u76ee\u6807\u573a\u666f；<\/p>\n\u2022<\/span>CPU\u5360\u7528200-300%（\u4f7f\u75282-3\u4e2a\u6838\u5fc3），\u5269\u4f59\u6838\u5fc3\u53ef\u7528\u4e8e\u91c7\u96c6\u3001\u9884\u5904\u7406\u548c\u663e\u793a，\u591a\u7ebf\u7a0b\u6d41\u6c34\u7ebf\u53ef\u8fdb\u4e00\u6b65\u63d0\u5347\u7aef\u5230\u7aef\u5e27\u7387\u3002<\/p>\n7.3\u00a0\u7aef\u5230\u7aef\u7cfb\u7edf\u6027\u80fd<\/p>\n \u5b8c\u6574\u7cfb\u7edf（\u91c7\u96c6+\u9884\u5904\u7406+\u63a8\u7406+\u540e\u5904\u7406+\u663e\u793a）\u7684\u7aef\u5230\u7aef\u6027\u80fd，\u591a\u7ebf\u7a0b\u6d41\u6c34\u7ebf\u4f18\u5316\u540e：<\/p>\n \n\n\n| \n \u914d\u7f6e<\/p>\n<\/td>\n | \n \u7aef\u5230\u7aef\u5e27\u7387<\/p>\n<\/td>\n | \n \u5ef6\u8fdf<\/p>\n<\/td>\n | \n CPU\u6e29\u5ea6<\/p>\n<\/td>\n | \n \u9002\u7528\u573a\u666f<\/p>\n<\/td>\n<\/tr>\n | \n| \n YOLOv8n INT8 640\u8f93\u5165，\u6574\u5e27\u68c0\u6d4b<\/p>\n<\/td>\n | \n 15-18fps<\/p>\n<\/td>\n | \n 80-120ms<\/p>\n<\/td>\n | \n 68-75\u2103<\/p>\n<\/td>\n | \n \u901a\u7528\u76ee\u6807\u68c0\u6d4b，\u76ee\u6807>32\u50cf\u7d20<\/p>\n<\/td>\n<\/tr>\n | \n| \n YOLOv8n INT8 320\u8f93\u5165，\u6574\u5e27\u68c0\u6d4b<\/p>\n<\/td>\n | \n 35-45fps<\/p>\n<\/td>\n | \n 40-60ms<\/p>\n<\/td>\n | \n 62-70\u2103<\/p>\n<\/td>\n | \n \u5927\u76ee\u6807\/\u9ad8\u901f\u8fd0\u52a8，\u4f4e\u5ef6\u8fdf<\/p>\n<\/td>\n<\/tr>\n | \n| \n YOLOv8n-p2 INT8 640\u8f93\u5165，\u6574\u5e27\u68c0\u6d4b<\/p>\n<\/td>\n | \n 12-15fps<\/p>\n<\/td>\n | \n 100-150ms<\/p>\n<\/td>\n | \n 70-78\u2103<\/p>\n<\/td>\n | \n \u5c0f\u76ee\u6807\u68c0\u6d4b，\u76ee\u680716-32\u50cf\u7d20<\/p>\n<\/td>\n<\/tr>\n | \n| \n YOLOv8n INT8 640\u8f93\u5165，SAHI 2\u00d72\u5207\u7247<\/p>\n<\/td>\n | \n 3-5fps<\/p>\n<\/td>\n | \n 250-400ms<\/p>\n<\/td>\n | \n 72-80\u2103<\/p>\n<\/td>\n | \n \u6781\u5c0f\u76ee\u6807\u68c0\u6d4b，\u76ee\u6807<16\u50cf\u7d20，\u9ad8\u7cbe\u5ea6<\/p>\n<\/td>\n<\/tr>\n | \n| \n \u4e24\u7ea7\u68c0\u6d4b（320\u7c97\u68c0+640\u7cbe\u68c0）<\/p>\n<\/td>\n | \n 10-15fps（\u5e73\u5747）<\/p>\n<\/td>\n | \n 80-200ms<\/p>\n<\/td>\n | \n 68-76\u2103<\/p>\n<\/td>\n | \n \u6df7\u5408\u573a\u666f，\u517c\u987e\u901f\u5ea6\u548c\u5c0f\u76ee\u6807\u7cbe\u5ea6<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n \u8c03\u4f18\u5efa\u8bae：\u6839\u636e\u5b9e\u9645\u573a\u666f\u7684\u76ee\u6807\u5927\u5c0f\u548c\u5e27\u7387\u8981\u6c42\u9009\u62e9\u914d\u7f6e\u3002\u5982\u679c\u76ee\u6807\u5728\u753b\u9762\u4e2d\u5360\u6bd4>32\u00d732\u50cf\u7d20，\u6574\u5e27640\u8f93\u5165\u5373\u53ef；\u5982\u679c\u76ee\u680716-32\u50cf\u7d20，\u7528YOLOv8n-p2；\u5982\u679c\u76ee\u6807<16\u50cf\u7d20，\u5fc5\u987b\u7528SAHI\u5207\u7247\u6216\u4e24\u7ea7\u68c0\u6d4b\u3002\u4e0d\u8981\u76f2\u76ee\u8ffd\u6c42\u9ad8\u5206\u8fa8\u7387\u548c\u5207\u7247，\u8981\u5728\u7cbe\u5ea6\u548c\u901f\u5ea6\u4e4b\u95f4\u627e\u5230\u5e73\u8861\u70b9\u3002<\/p>\n \u516b\u3001\u5178\u578b\u5e94\u7528\u573a\u666f<\/p>\n 8.1\u00a0\u5de5\u4e1a\u5fae\u5c0f\u7f3a\u9677\u68c0\u6d4b<\/p>\n \u5728\u7535\u5b50\u4ea7\u54c1\u5236\u9020\u3001\u91d1\u5c5e\u52a0\u5de5\u3001\u7eba\u7ec7\u5370\u5237\u7b49\u884c\u4e1a，\u9700\u8981\u68c0\u6d4b\u4ea7\u54c1\u8868\u9762\u7684\u5fae\u5c0f\u7f3a\u9677（\u5982PCB\u677f\u4e0a\u7684\u710a\u70b9\u6865\u8fde\u3001\u91d1\u5c5e\u8868\u9762\u7684\u5212\u75d5\u3001\u7eba\u7ec7\u54c1\u7684\u65ad\u7eb1\u3001\u5370\u5237\u54c1\u7684\u6f0f\u5370）\u3002\u8fd9\u4e9b\u7f3a\u9677\u5f80\u5f80\u53ea\u67090.1-1mm\u5927\u5c0f，\u5728\u56fe\u50cf\u4e2d\u53ea\u6709\u5341\u51e0\u4e2a\u50cf\u7d20\u3002<\/p>\n \u65b9\u6848\u914d\u7f6e：MV-MIPI-IMX287M+\u5fae\u8ddd\u955c\u5934\u6216\u8fdc\u5fc3\u955c\u5934，\u56fa\u5b9a\u5b89\u88c5\u5728\u4ea7\u7ebf\u4e0a\u65b9，\u786c\u89e6\u53d1\u6a21\u5f0f（\u5149\u7535\u5f00\u5173\u68c0\u6d4b\u4ea7\u54c1\u5230\u4f4d\u65f6\u89e6\u53d1\u62cd\u6444），\u77ed\u66dd\u5149（100-500\u03bcs）\u51bb\u7ed3\u8fd0\u52a8，YOLOv8n-p2+SAHI\u5207\u7247\u68c0\u6d4b\u7f3a\u9677，\u68c0\u6d4b\u5230\u7f3a\u9677\u65f6\u901a\u8fc7GPIO\u89e6\u53d1\u5254\u9664\u673a\u6784\u3002\u5168\u5c40\u5feb\u95e8\u786e\u4fdd\u9ad8\u901f\u8fd0\u52a8\u4ea7\u54c1\u65e0\u8fd0\u52a8\u6a21\u7cca，\u5927\u50cf\u7d20\u786e\u4fdd\u5f31\u5149\u4e0b\u7f3a\u9677\u6e05\u6670\u3002<\/p>\n 8.2\u00a0\u9ad8\u901f\u8fd0\u52a8\u5c0f\u76ee\u6807\u8ddf\u8e2a<\/p>\n \u6606\u866b\u884c\u4e3a\u7814\u7a76\u3001\u5f39\u9053\u8ddf\u8e2a\u3001\u9ad8\u901f\u96f6\u4ef6\u68c0\u6d4b\u7b49\u573a\u666f\u9700\u8981\u6355\u6349\u5feb\u901f\u8fd0\u52a8\u7684\u5c0f\u76ee\u6807\u3002\u666e\u901a\u6444\u50cf\u5934\u5e27\u7387\u4f4e（30fps）\u4e14\u6eda\u52a8\u5feb\u95e8\u4f1a\u5bfc\u81f4\u8fd0\u52a8\u6a21\u7cca，\u65e0\u6cd5\u6e05\u6670\u6355\u6349\u9ad8\u901f\u76ee\u6807\u3002<\/p>\n \u65b9\u6848\u914d\u7f6e：MV-MIPI-IMX287M\u4ee5200-500fps\u9ad8\u901f\u91c7\u96c6，\u5168\u5c40\u5feb\u95e8\u786e\u4fdd\u6bcf\u4e00\u5e27\u76ee\u6807\u90fd\u6e05\u6670\u65e0\u6a21\u7cca，\u77ed\u66dd\u5149（100-500\u03bcs）\u51bb\u7ed3\u8fd0\u52a8，YOLOv8n 320\u8f93\u5165\u9ad8\u901f\u68c0\u6d4b（40-50fps，\u62bd\u5e27\u4f7f\u7528），ByteTrack\u8ddf\u8e2a\u76ee\u6807\u8f68\u8ff9\u3002523fps\u7684\u8d85\u9ad8\u901f\u7387\u53ef\u4ee5\u6355\u6349\u6606\u866b\u98de\u884c\u3001\u96f6\u4ef6\u9ad8\u901f\u8fd0\u52a8\u7684\u5b8c\u6574\u8fc7\u7a0b，\u662f\u666e\u901a\u6444\u50cf\u5934\u65e0\u6cd5\u505a\u5230\u7684\u3002<\/p>\n 8.3\u00a0\u8fdc\u8ddd\u79bb\u5c0f\u76ee\u6807\u8bc6\u522b<\/p>\n \u5b89\u9632\u76d1\u63a7\u3001\u8fb9\u5883\u5de1\u903b\u3001\u91ce\u751f\u52a8\u7269\u76d1\u6d4b\u7b49\u573a\u666f\u9700\u8981\u8bc6\u522b\u8fdc\u8ddd\u79bb\u7684\u5c0f\u76ee\u6807（\u598250-100\u7c73\u5916\u7684\u4eba\u5458\u3001\u8f66\u8f86\u3001\u52a8\u7269）\u3002\u8fd9\u4e9b\u76ee\u6807\u5728\u5e7f\u89d2\u753b\u9762\u4e2d\u53ea\u6709\u51e0\u5341\u4e2a\u50cf\u7d20，\u666e\u901a\u76d1\u63a7\u6444\u50cf\u5934\u7684\u5c0f\u50cf\u7d20\u4f20\u611f\u5668\u5728\u8fdc\u8ddd\u79bb\u4e0b\u566a\u58f0\u5927\u3001\u7ec6\u8282\u5dee\u3002<\/p>\n \u65b9\u6848\u914d\u7f6e：MV-MIPI-IMX287M+\u957f\u7126\u955c\u5934（25-50mm），6.9\u03bcm\u5927\u50cf\u7d20\u786e\u4fdd\u8fdc\u8ddd\u79bb\u4e0b\u76ee\u6807\u4fe1\u566a\u6bd4\u9ad8，YOLOv8n-p2\u5c0f\u76ee\u6807\u4f18\u5316\u6a21\u578b\u68c0\u6d4b\u8fdc\u8ddd\u79bb\u4eba\u5458\/\u8f66\u8f86，SAHI\u5207\u7247\u8fdb\u4e00\u6b65\u63d0\u5347\u5c0f\u76ee\u6807\u68c0\u6d4b\u7387\u3002\u9ed1\u767d\u4f20\u611f\u5668\u5728\u4f4e\u7167\u548c\u8fdc\u8ddd\u79bb\u4e0b\u6bd4\u5f69\u8272\u4f20\u611f\u5668\u6709\u66f4\u597d\u7684\u7075\u654f\u5ea6\u548c\u7ec6\u8282\u3002<\/p>\n 8.4\u00a0\u5fae\u578b\u7269\u4f53\u8ba1\u6570\u4e0e\u6d4b\u91cf<\/p>\n \u519c\u4e1a\u79cd\u5b50\u7b5b\u9009\u3001\u5236\u836f\u9897\u7c92\u8ba1\u6570\u3001\u7535\u5b50\u5143\u4ef6\u6e05\u70b9\u7b49\u573a\u666f\u9700\u8981\u5bf9\u5927\u91cf\u5fae\u578b\u7269\u4f53（\u79cd\u5b50\u3001\u836f\u7247\u3001\u7535\u963b\u7535\u5bb9）\u8fdb\u884c\u8ba1\u6570\u548c\u5c3a\u5bf8\u6d4b\u91cf\u3002\u8fd9\u4e9b\u7269\u4f53\u5c0f\u4e14\u5bc6\u96c6，\u5bb9\u6613\u7c98\u8fde\u548c\u91cd\u53e0\u3002<\/p>\n \u65b9\u6848\u914d\u7f6e：MV-MIPI-IMX287M+\u5fae\u8ddd\u955c\u5934，\u4fef\u89c6\u62cd\u6444\u4f20\u9001\u5e26\u4e0a\u7684\u5fae\u578b\u7269\u4f53，\u5168\u5c40\u5feb\u95e8\u786e\u4fdd\u8fd0\u52a8\u4e2d\u65e0\u6a21\u7cca，\u5927\u50cf\u7d20\u786e\u4fdd\u6bcf\u4e2a\u5c0f\u7269\u4f53\u8f6e\u5ed3\u6e05\u6670，YOLOv8n\u68c0\u6d4b\u6bcf\u4e2a\u7269\u4f53\u5e76\u8ba1\u6570，\u7ed3\u5408\u50cf\u7d20\u5c3a\u5bf8\u6807\u5b9a\u8ba1\u7b97\u7269\u4f53\u5b9e\u9645\u5c3a\u5bf8（\u957f\u5bbd\u9762\u79ef），\u68c0\u6d4b\u5230\u4e0d\u5408\u683c\u5c3a\u5bf8\u65f6\u89e6\u53d1\u5254\u9664\u3002\u9ad8\u5e27\u7387\u53ef\u4ee5\u5904\u7406\u9ad8\u901f\u4f20\u9001\u5e26\u4e0a\u7684\u5bc6\u96c6\u7269\u4f53\u3002<\/p>\n 8.5\u00a0\u5176\u4ed6\u573a\u666f<\/p>\n \u2022<\/span>\u5b9e\u9a8c\u5ba4\u9ad8\u901f\u6210\u50cf：\u6d41\u4f53\u529b\u5b66\u3001\u6750\u6599\u51b2\u51fb\u3001\u5316\u5b66\u53cd\u5e94\u7b49\u9ad8\u901f\u8fc7\u7a0b\u8bb0\u5f55，523fps\u5168\u5c40\u5feb\u95e8\u6355\u6349\u77ac\u6001\u8fc7\u7a0b；<\/p>\n\u2022<\/span>\u65e0\u4eba\u673a\/\u673a\u5668\u4eba\u89c6\u89c9：\u7d27\u51d1\u578b\u4f4e\u529f\u8017\u89c6\u89c9\u6a21\u5757，\u7528\u4e8e\u5c0f\u578b\u65e0\u4eba\u673a\u907f\u969c\u3001\u673a\u5668\u4eba\u5c0f\u76ee\u6807\u6293\u53d6；<\/p>\n\u2022<\/span>\u8fd0\u52a8\u5206\u6790：\u4f53\u80b2\u52a8\u4f5c\u5206\u6790\u3001\u673a\u68b0\u81c2\u8fd0\u52a8\u8f68\u8ff9\u6355\u6349，\u9ad8\u5e27\u7387+\u5168\u5c40\u5feb\u95e8\u786e\u4fdd\u8fd0\u52a8\u7ec6\u8282\u5b8c\u6574；<\/p>\n\u2022<\/span>\u6559\u5b66\u4e0e\u79d1\u7814：\u8ba1\u7b97\u673a\u89c6\u89c9\u8bfe\u7a0b\u5b9e\u9a8c\u3001\u5c0f\u76ee\u6807\u68c0\u6d4b\u7b97\u6cd5\u7814\u7a76，\u4f4e\u6210\u672c\u9ad8\u6027\u80fd\u5e73\u53f0，\u5f00\u6e90\u751f\u6001\u5b8c\u5584\u3002<\/p>\n\u4e5d\u3001\u6311\u6218\u4e0e\u89e3\u51b3\u65b9\u6848<\/p>\n \n\n\n| \n \u6311\u6218<\/p>\n<\/td>\n | \n \u5177\u4f53\u8868\u73b0<\/p>\n<\/td>\n | \n \u89e3\u51b3\u65b9\u6848<\/p>\n<\/td>\n<\/tr>\n | \n| \n \u5206\u8fa8\u7387\u4e0e\u5c0f\u76ee\u6807\u7684\u77db\u76fe<\/p>\n<\/td>\n | \n 720\u00d7544\u5206\u8fa8\u7387\u4e0d\u9ad8，\u6781\u5c0f\u76ee\u6807（<16\u50cf\u7d20）\u7279\u5f81\u4e0d\u8db3<\/p>\n<\/td>\n | \n \u2460\u914d\u5408\u957f\u7126\/\u5fae\u8ddd\u955c\u5934\u589e\u5927\u76ee\u6807\u5360\u6bd4；\u2461SAHI\u5207\u7247\u68c0\u6d4b；\u2462YOLOv8n-p2\u5c0f\u76ee\u6807\u4f18\u5316\u6a21\u578b；\u2463\u9ad8\u5206\u8fa8\u7387\u8bad\u7ec3+\u4f4e\u5206\u8fa8\u7387\u63a8\u7406+\u5207\u7247；\u2464\u5982\u679c\u5206\u8fa8\u7387\u5b9e\u5728\u4e0d\u591f，\u53ef\u8003\u8651MV-MIPI-SC130M（1280\u00d71024，\u540c\u7cfb\u5217\u66f4\u9ad8\u5206\u8fa8\u7387）<\/p>\n<\/td>\n<\/tr>\n | \n| \n \u9ed1\u767d\u56fe\u50cf\u7684\u5c40\u9650<\/p>\n<\/td>\n | \n IMX287M\u662f\u9ed1\u767d\u4f20\u611f\u5668，\u65e0\u6cd5\u5229\u7528\u989c\u8272\u4fe1\u606f\u533a\u5206\u76ee\u6807<\/p>\n<\/td>\n | \n \u2460\u5927\u591a\u6570\u5de5\u4e1a\u68c0\u6d4b\u548c\u5c0f\u76ee\u6807\u68c0\u6d4b\u4e0d\u9700\u8981\u989c\u8272，\u5f62\u72b6\u548c\u7eb9\u7406\u66f4\u91cd\u8981；\u2461\u9ed1\u767d\u4f20\u611f\u5668\u5149\u5229\u7528\u7387\u9ad8\u3001\u566a\u58f0\u4f4e，\u53cd\u800c\u66f4\u9002\u5408\u5c0f\u76ee\u6807；\u2462\u5982\u679c\u5fc5\u987b\u7528\u989c\u8272，\u53ef\u9009\u540c\u7cfb\u5217\u5f69\u8272\u7248\u672c\u6216\u5176\u4ed6\u5f69\u8272\u5168\u5c40\u5feb\u95e8\u4f20\u611f\u5668（\u5982IMX296\u5f69\u8272\u7248）<\/p>\n<\/td>\n<\/tr>\n | \n| \n \u6811\u8393\u6d3e\u7b97\u529b\u6709\u9650<\/p>\n<\/td>\n | \n \u590d\u6742\u6a21\u578b\u548cSAHI\u5207\u7247\u65e0\u6cd5\u5b9e\u65f6\u8fd0\u884c<\/p>\n<\/td>\n | \n \u2460INT8\u91cf\u5316（TFLite\/NCNN）；\u2461\u964d\u4f4e\u8f93\u5165\u5206\u8fa8\u7387；\u2462\u62bd\u5e27\u68c0\u6d4b+\u8ddf\u8e2a；\u2463ROI\u68c0\u6d4b；\u2464\u591a\u7ebf\u7a0b\u6d41\u6c34\u7ebf；\u2465\u4e24\u7ea7\u68c0\u6d4b\u7b56\u7565；\u2466\u5982\u679c\u9700\u8981\u66f4\u9ad8\u7b97\u529b，\u53ef\u5347\u7ea7\u5230Jetson Orin \u00a0 Nano（40TOPS）\u6216\u52a0Hailo-8 AI\u52a0\u901f\u5e3d（26TOPS）<\/p>\n<\/td>\n<\/tr>\n | \n| \n \u9ad8\u5e27\u7387\u91c7\u96c6\u4e0e\u5904\u7406\u74f6\u9888<\/p>\n<\/td>\n | \n 523fps\u91c7\u96c6\u4f46AI\u63a8\u7406\u53ea\u670920fps，\u5927\u91cf\u5e27\u88ab\u4e22\u5f03<\/p>\n<\/td>\n | \n \u2460\u4e0d\u9700\u8981\u5168\u7a0b523fps，\u6839\u636e\u63a8\u7406\u5e27\u7387\u8bbe\u7f6e\u91c7\u96c6\u5e27\u7387（\u598230fps）；\u2461\u786c\u89e6\u53d1\u6a21\u5f0f\u53ea\u5728\u9700\u8981\u65f6\u91c7\u96c6\u4e00\u5e27；\u2462\u9ad8\u901f\u573a\u666f\u7528\u9ad8\u5e27\u7387\u91c7\u96c6+\u62bd\u5e27\u63a8\u7406，\u5173\u952e\u5e27\u4e0d\u4e22\u5931；\u2463\u5982\u679c\u9700\u8981\u8bb0\u5f55\u9ad8\u901f\u89c6\u9891，\u5355\u72ec\u7528\u9ad8\u901f\u5b58\u50a8\u8bb0\u5f55\u539f\u59cb\u89c6\u9891，AI\u5f02\u6b65\u5206\u6790<\/p>\n<\/td>\n<\/tr>\n | \n| \n \u6563\u70ed\u4e0e\u7a33\u5b9a\u6027<\/p>\n<\/td>\n | \n \u6301\u7eedAI\u63a8\u7406CPU\u6e29\u5ea6\u9ad8，\u53ef\u80fd\u964d\u9891\u6216\u6b7b\u673a<\/p>\n<\/td>\n | \n \u2460\u5fc5\u987b\u5b89\u88c5\u4e3b\u52a8\u6563\u70ed\u98ce\u6247；\u2461\u91d1\u5c5e\u5916\u58f3\u8f85\u52a9\u6563\u70ed；\u2462\u8bbe\u7f6e\u6e29\u5ea6\u9608\u503c\u964d\u9891\u4fdd\u62a4；\u2463\u76d1\u63a7CPU\u6e29\u5ea6，\u8d85\u8fc780\u2103\u81ea\u52a8\u964d\u4f4e\u63a8\u7406\u5e27\u7387；\u2464\u73af\u5883\u6e29\u5ea6\u9ad8\u65f6\u589e\u52a0\u5916\u90e8\u6563\u70ed\u6216\u964d\u4f4e\u8d1f\u8f7d<\/p>\n<\/td>\n<\/tr>\n | \n| \n \u9a71\u52a8\u517c\u5bb9\u6027<\/p>\n<\/td>\n | \n VEYE\u9a71\u52a8\u9700\u8981\u5339\u914d\u7279\u5b9a\u5185\u6838\u7248\u672c，\u7cfb\u7edf\u5347\u7ea7\u540e\u53ef\u80fd\u5931\u6548<\/p>\n<\/td>\n | \n \u2460\u4f7f\u7528VEYE\u5b98\u65b9\u652f\u6301\u7684Raspberry \u00a0 Pi OS\u7248\u672c；\u2461\u7cfb\u7edf\u5347\u7ea7\u524d\u5148\u5907\u4efd\u9a71\u52a8\u548c\u914d\u7f6e；\u2462\u5173\u6ce8VEYE\u5b98\u65b9GitHub\u66f4\u65b0；\u2463\u9501\u5b9a\u5185\u6838\u7248\u672c（apt-mark hold raspberrypi-kernel）；\u2464\u4e5f\u53ef\u4ee5\u7528VEYE\u63d0\u4f9b\u7684\u9884\u7f16\u8bd1\u7cfb\u7edf\u955c\u50cf<\/p>\n<\/td>\n<\/tr>\n | \n| \n \u955c\u5934\u9009\u62e9\u4e0e\u5bf9\u7126<\/p>\n<\/td>\n | \n M12\u955c\u5934\u79cd\u7c7b\u591a，\u9009\u62e9\u4e0d\u5f53\u5bfc\u81f4\u76ee\u6807\u6a21\u7cca\u6216\u89c6\u573a\u4e0d\u5408\u9002<\/p>\n<\/td>\n | \n \u2460\u6839\u636e\u5de5\u4f5c\u8ddd\u79bb\u548c\u76ee\u6807\u5927\u5c0f\u8ba1\u7b97\u6240\u9700\u7126\u8ddd（\u7126\u8ddd=\u5de5\u4f5c\u8ddd\u79bb\u00d7\u4f20\u611f\u5668\u5c3a\u5bf8\/\u89c6\u573a\u5c3a\u5bf8）；\u2461\u5c0f\u76ee\u6807\u68c0\u6d4b\u4f18\u5148\u9009\u957f\u7126\/\u5fae\u8ddd\u955c\u5934\u589e\u5927\u76ee\u6807\u5360\u6bd4；\u2462\u56fa\u5b9a\u5b89\u88c5\u540e\u7528\u9501\u5b9a\u80f6\u56fa\u5b9a\u5bf9\u7126\u73af；\u2463\u5b9a\u671f\u68c0\u67e5\u955c\u5934\u662f\u5426\u810f\u6c61\u6216\u79fb\u4f4d<\/p>\n<\/td>\n<\/tr>\n | \n| \n \u5149\u7167\u4e0e\u66dd\u5149<\/p>\n<\/td>\n | \n \u77ed\u66dd\u5149\u4e0b\u56fe\u50cf\u6697，\u9ad8\u589e\u76ca\u4e0b\u566a\u58f0\u5927<\/p>\n<\/td>\n | \n \u2460\u589e\u52a0\u4e3b\u52a8\u5149\u6e90（LED\u73af\u5f62\u706f\u3001\u540c\u8f74\u5149\u3001\u80cc\u5149），\u5de5\u4e1a\u68c0\u6d4b\u63a8\u8350\u4e3b\u52a8\u7167\u660e；\u2461\u5927\u50cf\u7d20\u4f20\u611f\u5668\u672c\u8eab\u4f4e\u7167\u6027\u80fd\u597d；\u2462\u5408\u7406\u8bbe\u7f6e\u66dd\u5149\u65f6\u95f4（\u5728\u4e0d\u4ea7\u751f\u8fd0\u52a8\u6a21\u7cca\u7684\u524d\u63d0\u4e0b\u5c3d\u91cf\u957f）；\u2463\u589e\u76ca\u63a7\u5236\u57286dB\u4ee5\u5185；\u2464\u9ed1\u767d\u4f20\u611f\u5668\u6bd4\u5f69\u8272\u66f4\u9002\u5408\u4f4e\u7167<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n \u5341\u3001\u603b\u7ed3<\/p>\n \u672c\u6587\u4ecb\u7ecd\u4e86\u4e00\u5957\u57fa\u4e8e\u6811\u8393\u6d3e5+MV-MIPI-IMX287M\u5168\u5c40\u5feb\u95e8\u5de5\u4e1a\u76f8\u673a\u7684\u5d4c\u5165\u5f0f\u5c0f\u76ee\u6807\u68c0\u6d4b\u5b8c\u6574\u65b9\u6848\u3002\u8fd9\u5957\u65b9\u6848\u7684\u6838\u5fc3\u4f18\u52bf\u5728\u4e8e：\u7528\u4e0d\u52302000\u5143\u7684\u786c\u4ef6\u6210\u672c，\u5b9e\u73b0\u4e86\u5de5\u4e1a\u7ea7\u7684\u5168\u5c40\u5feb\u95e8\u9ad8\u901f\u6210\u50cf（720\u00d7544@523fps，6.9\u03bcm\u5927\u50cf\u7d20）\u548c\u8fb9\u7f18\u7aef\u5b9e\u65f6AI\u63a8\u7406（YOLOv8n INT8\u53ef\u8fbe19-22fps），\u89e3\u51b3\u4e86\u5c0f\u76ee\u6807\u68c0\u6d4b\u4e2d"\u8fd0\u52a8\u6a21\u7cca\u3001\u7279\u5f81\u4e0d\u8db3\u3001\u7b97\u529b\u53d7\u9650"\u4e09\u5927\u6838\u5fc3\u96be\u9898\u3002<\/p>\n \u6280\u672f\u8981\u70b9\u56de\u987e：<\/p>\n 1.<\/span>\u786c\u4ef6\u9009\u578b：MV-MIPI-IMX287M（\u7d22\u5c3cIMX287\u5168\u5c40\u5feb\u95e8\u9ed1\u767d\u4f20\u611f\u5668，720\u00d7544@523fps，6.9\u03bcm\u5927\u50cf\u7d20，MIPI CSI-2\u63a5\u53e3，\u786c\u89e6\u53d1\/\u8f6f\u89e6\u53d1，\u95ea\u5149\u706f\u540c\u6b65）+\u6811\u8393\u6d3e5 8GB（4\u6838A76 2.4GHz，\u53ccMIPI\u63a5\u53e3，\u4e3b\u52a8\u6563\u70ed），\u6574\u5957\u6210\u672c\u7ea61500-2500\u5143\u3002<\/p>\n2.<\/span>\u6210\u50cf\u4f18\u52bf：\u5168\u5c40\u5feb\u95e8\u6d88\u9664\u9ad8\u901f\u8fd0\u52a8\u76ee\u6807\u7684\u679c\u51bb\u6548\u5e94\u548c\u8fd0\u52a8\u6a21\u7cca，6.9\u03bcm\u5927\u50cf\u7d20\u63d0\u4f9b\u9ad8\u7075\u654f\u5ea6\u548c\u4f4e\u566a\u58f0，\u9ed1\u767d\u4f20\u611f\u5668\u5149\u5229\u7528\u7387\u9ad8，523fps\u8d85\u9ad8\u901f\u7387\u6355\u6349\u77ac\u6001\u8fc7\u7a0b，\u786c\u89e6\u53d1\u7cbe\u786e\u540c\u6b65\u5916\u90e8\u4e8b\u4ef6\u3002<\/p>\n3.<\/span>\u9a71\u52a8\u4e0e\u91c7\u96c6：VEYE\u5b98\u65b9V4L2\u9a71\u52a8，\u6807\u51c6\/dev\/video0\u8bbe\u5907\u8282\u70b9，Python+OpenCV\u901a\u8fc7V4L2\u540e\u7aef\u91c7\u96c6RAW8\u7070\u5ea6\u5e27，\u652f\u6301\u8fde\u7eed\u6a21\u5f0f\u548c\u786c\u89e6\u53d1\u6a21\u5f0f，VEYE\u914d\u7f6e\u5de5\u5177\u8bbe\u7f6e\u66dd\u5149\/\u589e\u76ca\/ROI\/\u5e27\u7387\u7b49\u53c2\u6570\u3002<\/p>\n4.<\/span>\u5c0f\u76ee\u6807\u68c0\u6d4b\u7b97\u6cd5：YOLOv8n\u57fa\u7ebf\u6a21\u578b（P2\u68c0\u6d4b\u5934\u4f18\u5316\u5c0f\u76ee\u6807），YOLOv8n-p2\u589e\u5f3a\u7248（\u589e\u52a0stride=4\u68c0\u6d4b\u5934），SAHI\u5207\u7247\u68c0\u6d4b（\u9ad8\u5206\u8fa8\u7387\u56fe\u50cf\u5207\u91cd\u53e0\u5c0f\u5757\u5206\u522b\u68c0\u6d4b\u518d\u5408\u5e76），\u8bad\u7ec3\u4f18\u5316（Copy-Paste\u3001Mosaic\u3001\u9ad8\u5206\u8fa8\u7387\u8bad\u7ec3\u3001\u5c0f\u76ee\u6807\u635f\u5931\u52a0\u6743\u3001\u7cbe\u786e\u6807\u6ce8）\u3002<\/p>\n5.<\/span>\u8fb9\u7f18\u63a8\u7406\u90e8\u7f72：PyTorch\u2192ONNX\u2192TFLite\/NCNN INT8\u91cf\u5316，\u6811\u8393\u6d3e5\u4e0aYOLOv8n INT8\u53ef\u8fbe19-22fps（640\u8f93\u5165），320\u8f93\u5165\u53ef\u8fbe55fps，\u591a\u7ebf\u7a0b\u6d41\u6c34\u7ebf\u3001\u62bd\u5e27\u68c0\u6d4b\u3001ROI\u68c0\u6d4b\u3001CPU\u6027\u80fd\u6a21\u5f0f\u7b49\u4f18\u5316\u8fdb\u4e00\u6b65\u63d0\u5347\u7aef\u5230\u7aef\u6027\u80fd\u3002<\/p>\n6.<\/span>\u7cfb\u7edf\u96c6\u6210：\u91c7\u96c6\u2192\u9884\u5904\u7406\u2192\u63a8\u7406\u2192\u540e\u5904\u7406\u2192\u5e94\u7528\u4e94\u6a21\u5757\u67b6\u6784，\u652f\u6301SAHI\u5207\u7247\u548c\u4e24\u7ea7\u68c0\u6d4b，GPIO\u8054\u52a8\u5916\u90e8\u8bbe\u5907，\u6570\u636e\u8bb0\u5f55（CSV\/SQLite），Flask Web\u8fdc\u7a0b\u67e5\u770b，\u62a5\u8b66\u89e6\u53d1\u3002<\/p>\n\u9002\u7528\u573a\u666f\u4e0e\u5c40\u9650：\u8fd9\u5957\u65b9\u6848\u7279\u522b\u9002\u5408\u5de5\u4e1a\u5fae\u5c0f\u7f3a\u9677\u68c0\u6d4b\u3001\u9ad8\u901f\u8fd0\u52a8\u5c0f\u76ee\u6807\u8ddf\u8e2a\u3001\u8fdc\u8ddd\u79bb\u5c0f\u76ee\u6807\u8bc6\u522b\u3001\u5fae\u578b\u7269\u4f53\u8ba1\u6570\u7b49\u573a\u666f，\u4ee5\u53ca\u6559\u5b66\u79d1\u7814\u548c\u539f\u578b\u9a8c\u8bc1\u3002\u5b83\u7684\u5c40\u9650\u5728\u4e8e：720\u00d7544\u5206\u8fa8\u7387\u5bf9\u6781\u5c0f\u76ee\u6807（<8\u50cf\u7d20）\u53ef\u80fd\u4e0d\u591f，\u9ed1\u767d\u4f20\u611f\u5668\u65e0\u6cd5\u5229\u7528\u989c\u8272\u4fe1\u606f，\u6811\u8393\u6d3e\u7b97\u529b\u5bf9\u590d\u6742\u6a21\u578b\u548c\u5168\u7a0bSAHI\u5207\u7247\u652f\u6301\u6709\u9650\u3002\u5982\u679c\u9700\u8981\u66f4\u9ad8\u5206\u8fa8\u7387，\u53ef\u4ee5\u8003\u8651\u540c\u7cfb\u5217\u7684MV-MIPI-SC130M（1280\u00d71024@214fps）；\u5982\u679c\u9700\u8981\u66f4\u5f3a\u7b97\u529b，\u53ef\u4ee5\u5347\u7ea7\u5230Jetson Orin Nano\u6216\u52a0Hailo-8 AI\u52a0\u901f\u5e3d\u3002<\/p>\n \u5c0f\u76ee\u6807\u68c0\u6d4b\u662f\u8ba1\u7b97\u673a\u89c6\u89c9\u9886\u57df\u7684\u7ecf\u5178\u96be\u9898，\u6ca1\u6709\u94f6\u5f39\u2014\u2014\u9700\u8981\u4ece\u6210\u50cf\u8d28\u91cf\u3001\u7b97\u6cd5\u4f18\u5316\u3001\u7b97\u529b\u90e8\u7f72\u4e09\u4e2a\u7ef4\u5ea6\u534f\u540c\u89e3\u51b3\u3002MV-MIPI-IMX287M+\u6811\u8393\u6d3e\u8fd9\u5957\u65b9\u6848\u63d0\u4f9b\u4e86\u4e00\u4e2a\u4f4e\u6210\u672c\u3001\u9ad8\u6027\u80fd\u7684\u8d77\u70b9，\u8ba9\u521b\u5ba2\u3001\u7814\u7a76\u8005\u548c\u4e2d\u5c0f\u4f01\u4e1a\u90fd\u80fd\u5feb\u901f\u642d\u5efa\u5de5\u4e1a\u7ea7\u5c0f\u76ee\u6807\u68c0\u6d4b\u7cfb\u7edf，\u5728\u5b9e\u8df5\u4e2d\u8fed\u4ee3\u4f18\u5316\u3002\u968f\u7740AI\u6a21\u578b\u8d8a\u6765\u8d8a\u8f7b\u91cf\u9ad8\u6548\u3001\u8fb9\u7f18\u7b97\u529b\u8d8a\u6765\u8d8a\u5f3a，\u5d4c\u5165\u5f0f\u5c0f\u76ee\u6807\u68c0\u6d4b\u7684\u5e94\u7528\u573a\u666f\u4f1a\u8d8a\u6765\u8d8a\u5e7f\u6cdb\u3002<\/p>\n","protected":false},"excerpt":{"rendered":" \u6811\u8393\u6d3eMV-MIPI-IMX287M\u5168\u5c40\u5feb\u95e8\u5de5\u4e1a\u76f8\u673a\u5b9e\u73b0\u5c0f\u76ee\u6807\u68c0\u6d4b：523fps\u9ad8\u901f\u6210\u50cf\u8fb9\u7f18\u7aefAI\u63a8\u7406\u5728\u5de5\u4e1a\u8d28\u68c0\u3001\u9ad8\u901f\u8fd0\u52a8\u8ddf\u8e2a\u3001\u8fdc\u8ddd\u79bb\u76d1\u63a7\u7b49\u573a\u666f\u4e2d，\\”\u5c0f\u76ee\u6807\u68c0\u6d4b\\”\u4e00\u76f4\u662f\u8ba1\u7b97\u673a\u89c6\u89c9\u9886\u57df\u7684\u96be\u9898\u3002\u6240\u8c13\u5c0f\u76ee\u6807，\u901a\u5e38\u6307\u56fe\u50cf\u4e2d\u50cf\u7d20\u9762\u79ef\u5c0f\u4e8e32\u00d732（COCO\u5b9a\u4e49）\u751a\u81f3\u66f4\u5c0f\u7684\u76ee\u6807\u2014\u2014\u5b83\u4eec\u53ef\u80fd\u662fPCB\u677f\u4e0a\u4e00\u4e2a0.5mm\u7684\u710a\u70b9\u7f3a\u9677\u3001\u9ad8\u901f\u98de\u884c\u7684\u4e00\u53ea\u6606\u866b\u300150\u7c73\u5916\u76d1\u63a7\u753b\u9762\u4e2d\u7684\u4e00\u4e2a\u4eba\u3001\u4f20\u9001\u5e26\u4e0a\u5feb\u901f\u79fb\u52a8\u7684\u4e00\u9897\u87ba\u4e1d\u3002\u8fd9\u4e9b\u76ee\u6807\u5728\u753b\u9762\u4e2d\u53ea<\/p>\n","protected":false},"author":2,"featured_media":106358,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[50,5281,523],"topic":[],"class_list":["post-106361","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-server","tag-50","tag-5281","tag-523"],"yoast_head":"\n \u6811\u8393\u6d3e\u9a71\u52a8MV-MIPI-IMX287M\u5168\u5c40\u5feb\u95e8\u76f8\u673a\u5b9e\u73b0\u5c0f\u76ee\u6807\u68c0\u6d4b\uff1a\u4ece\u786c\u4ef6\u8fde\u63a5\u5230\u8fb9\u7f18AI\u63a8\u7406 - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.wsisp.com\/helps\/106361.html\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u6811\u8393\u6d3e\u9a71\u52a8MV-MIPI-IMX287M\u5168\u5c40\u5feb\u95e8\u76f8\u673a\u5b9e\u73b0\u5c0f\u76ee\u6807\u68c0\u6d4b\uff1a\u4ece\u786c\u4ef6\u8fde\u63a5\u5230\u8fb9\u7f18AI\u63a8\u7406 - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3\" \/>\n<meta property=\"og:description\" content=\"\u6811\u8393\u6d3eMV-MIPI-IMX287M\u5168\u5c40\u5feb\u95e8\u5de5\u4e1a\u76f8\u673a\u5b9e\u73b0\u5c0f\u76ee\u6807\u68c0\u6d4b：523fps\u9ad8\u901f\u6210\u50cf\u8fb9\u7f18\u7aefAI\u63a8\u7406\u5728\u5de5\u4e1a\u8d28\u68c0\u3001\u9ad8\u901f\u8fd0\u52a8\u8ddf\u8e2a\u3001\u8fdc\u8ddd\u79bb\u76d1\u63a7\u7b49\u573a\u666f\u4e2d，"\u5c0f\u76ee\u6807\u68c0\u6d4b"\u4e00\u76f4\u662f\u8ba1\u7b97\u673a\u89c6\u89c9\u9886\u57df\u7684\u96be\u9898\u3002\u6240\u8c13\u5c0f\u76ee\u6807，\u901a\u5e38\u6307\u56fe\u50cf\u4e2d\u50cf\u7d20\u9762\u79ef\u5c0f\u4e8e32\u00d732（COCO\u5b9a\u4e49）\u751a\u81f3\u66f4\u5c0f\u7684\u76ee\u6807\u2014\u2014\u5b83\u4eec\u53ef\u80fd\u662fPCB\u677f\u4e0a\u4e00\u4e2a0.5mm\u7684\u710a\u70b9\u7f3a\u9677\u3001\u9ad8\u901f\u98de\u884c\u7684\u4e00\u53ea\u6606\u866b\u300150\u7c73\u5916\u76d1\u63a7\u753b\u9762\u4e2d\u7684\u4e00\u4e2a\u4eba\u3001\u4f20\u9001\u5e26\u4e0a\u5feb\u901f\u79fb\u52a8\u7684\u4e00\u9897\u87ba\u4e1d\u3002\u8fd9\u4e9b\u76ee\u6807\u5728\u753b\u9762\u4e2d\u53ea\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.wsisp.com\/helps\/106361.html\" \/>\n<meta property=\"og:site_name\" content=\"\u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3\" \/>\n<meta property=\"article:published_time\" content=\"2026-09-17T01:00:32+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/09\/20260917010031-6aab3baf03ed6.jpg\" \/>\n<meta name=\"author\" content=\"admin\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u4f5c\u8005\" \/>\n\t<meta name=\"twitter:data1\" content=\"admin\" \/>\n\t<meta name=\"twitter:label2\" content=\"\u9884\u8ba1\u9605\u8bfb\u65f6\u95f4\" \/>\n\t<meta name=\"twitter:data2\" content=\"18 \u5206\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.wsisp.com\/helps\/106361.html\",\"url\":\"https:\/\/www.wsisp.com\/helps\/106361.html\",\"name\":\"\u6811\u8393\u6d3e\u9a71\u52a8MV-MIPI-IMX287M\u5168\u5c40\u5feb\u95e8\u76f8\u673a\u5b9e\u73b0\u5c0f\u76ee\u6807\u68c0\u6d4b\uff1a\u4ece\u786c\u4ef6\u8fde\u63a5\u5230\u8fb9\u7f18AI\u63a8\u7406 - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3\",\"isPartOf\":{\"@id\":\"https:\/\/www.wsisp.com\/helps\/#website\"},\"datePublished\":\"2026-09-17T01:00:32+00:00\",\"dateModified\":\"2026-09-17T01:00:32+00:00\",\"author\":{\"@id\":\"https:\/\/www.wsisp.com\/helps\/#\/schema\/person\/358e386c577a3ab51c4493330a20ad41\"},\"breadcrumb\":{\"@id\":\"https:\/\/www.wsisp.com\/helps\/106361.html#breadcrumb\"},\"inLanguage\":\"zh-Hans\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/www.wsisp.com\/helps\/106361.html\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/www.wsisp.com\/helps\/106361.html#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"\u9996\u9875\",\"item\":\"https:\/\/www.wsisp.com\/helps\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"\u6811\u8393\u6d3e\u9a71\u52a8MV-MIPI-IMX287M\u5168\u5c40\u5feb\u95e8\u76f8\u673a\u5b9e\u73b0\u5c0f\u76ee\u6807\u68c0\u6d4b\uff1a\u4ece\u786c\u4ef6\u8fde\u63a5\u5230\u8fb9\u7f18AI\u63a8\u7406\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/www.wsisp.com\/helps\/#website\",\"url\":\"https:\/\/www.wsisp.com\/helps\/\",\"name\":\"\u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3\",\"description\":\"\u9999\u6e2f\u670d\u52a1\u5668_\u9999\u6e2f\u4e91\u670d\u52a1\u5668\u8d44\u8baf_\u670d\u52a1\u5668\u5e2e\u52a9\u6587\u6863_\u670d\u52a1\u5668\u6559\u7a0b\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/www.wsisp.com\/helps\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"zh-Hans\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/www.wsisp.com\/helps\/#\/schema\/person\/358e386c577a3ab51c4493330a20ad41\",\"name\":\"admin\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"zh-Hans\",\"@id\":\"https:\/\/www.wsisp.com\/helps\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/gravatar.wp-china-yes.net\/avatar\/?s=96&d=mystery\",\"contentUrl\":\"https:\/\/gravatar.wp-china-yes.net\/avatar\/?s=96&d=mystery\",\"caption\":\"admin\"},\"sameAs\":[\"http:\/\/wp.wsisp.com\"],\"url\":\"https:\/\/www.wsisp.com\/helps\/author\/admin\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"\u6811\u8393\u6d3e\u9a71\u52a8MV-MIPI-IMX287M\u5168\u5c40\u5feb\u95e8\u76f8\u673a\u5b9e\u73b0\u5c0f\u76ee\u6807\u68c0\u6d4b\uff1a\u4ece\u786c\u4ef6\u8fde\u63a5\u5230\u8fb9\u7f18AI\u63a8\u7406 - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.wsisp.com\/helps\/106361.html","og_locale":"zh_CN","og_type":"article","og_title":"\u6811\u8393\u6d3e\u9a71\u52a8MV-MIPI-IMX287M\u5168\u5c40\u5feb\u95e8\u76f8\u673a\u5b9e\u73b0\u5c0f\u76ee\u6807\u68c0\u6d4b\uff1a\u4ece\u786c\u4ef6\u8fde\u63a5\u5230\u8fb9\u7f18AI\u63a8\u7406 - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3","og_description":"\u6811\u8393\u6d3eMV-MIPI-IMX287M\u5168\u5c40\u5feb\u95e8\u5de5\u4e1a\u76f8\u673a\u5b9e\u73b0\u5c0f\u76ee\u6807\u68c0\u6d4b：523fps\u9ad8\u901f\u6210\u50cf\u8fb9\u7f18\u7aefAI\u63a8\u7406\u5728\u5de5\u4e1a\u8d28\u68c0\u3001\u9ad8\u901f\u8fd0\u52a8\u8ddf\u8e2a\u3001\u8fdc\u8ddd\u79bb\u76d1\u63a7\u7b49\u573a\u666f\u4e2d，\"\u5c0f\u76ee\u6807\u68c0\u6d4b\"\u4e00\u76f4\u662f\u8ba1\u7b97\u673a\u89c6\u89c9\u9886\u57df\u7684\u96be\u9898\u3002\u6240\u8c13\u5c0f\u76ee\u6807，\u901a\u5e38\u6307\u56fe\u50cf\u4e2d\u50cf\u7d20\u9762\u79ef\u5c0f\u4e8e32\u00d732（COCO\u5b9a\u4e49）\u751a\u81f3\u66f4\u5c0f\u7684\u76ee\u6807\u2014\u2014\u5b83\u4eec\u53ef\u80fd\u662fPCB\u677f\u4e0a\u4e00\u4e2a0.5mm\u7684\u710a\u70b9\u7f3a\u9677\u3001\u9ad8\u901f\u98de\u884c\u7684\u4e00\u53ea\u6606\u866b\u300150\u7c73\u5916\u76d1\u63a7\u753b\u9762\u4e2d\u7684\u4e00\u4e2a\u4eba\u3001\u4f20\u9001\u5e26\u4e0a\u5feb\u901f\u79fb\u52a8\u7684\u4e00\u9897\u87ba\u4e1d\u3002\u8fd9\u4e9b\u76ee\u6807\u5728\u753b\u9762\u4e2d\u53ea","og_url":"https:\/\/www.wsisp.com\/helps\/106361.html","og_site_name":"\u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3","article_published_time":"2026-09-17T01:00:32+00:00","og_image":[{"url":"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/09\/20260917010031-6aab3baf03ed6.jpg"}],"author":"admin","twitter_card":"summary_large_image","twitter_misc":{"\u4f5c\u8005":"admin","\u9884\u8ba1\u9605\u8bfb\u65f6\u95f4":"18 \u5206"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/www.wsisp.com\/helps\/106361.html","url":"https:\/\/www.wsisp.com\/helps\/106361.html","name":"\u6811\u8393\u6d3e\u9a71\u52a8MV-MIPI-IMX287M\u5168\u5c40\u5feb\u95e8\u76f8\u673a\u5b9e\u73b0\u5c0f\u76ee\u6807\u68c0\u6d4b\uff1a\u4ece\u786c\u4ef6\u8fde\u63a5\u5230\u8fb9\u7f18AI\u63a8\u7406 - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3","isPartOf":{"@id":"https:\/\/www.wsisp.com\/helps\/#website"},"datePublished":"2026-09-17T01:00:32+00:00","dateModified":"2026-09-17T01:00:32+00:00","author":{"@id":"https:\/\/www.wsisp.com\/helps\/#\/schema\/person\/358e386c577a3ab51c4493330a20ad41"},"breadcrumb":{"@id":"https:\/\/www.wsisp.com\/helps\/106361.html#breadcrumb"},"inLanguage":"zh-Hans","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.wsisp.com\/helps\/106361.html"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/www.wsisp.com\/helps\/106361.html#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"\u9996\u9875","item":"https:\/\/www.wsisp.com\/helps"},{"@type":"ListItem","position":2,"name":"\u6811\u8393\u6d3e\u9a71\u52a8MV-MIPI-IMX287M\u5168\u5c40\u5feb\u95e8\u76f8\u673a\u5b9e\u73b0\u5c0f\u76ee\u6807\u68c0\u6d4b\uff1a\u4ece\u786c\u4ef6\u8fde\u63a5\u5230\u8fb9\u7f18AI\u63a8\u7406"}]},{"@type":"WebSite","@id":"https:\/\/www.wsisp.com\/helps\/#website","url":"https:\/\/www.wsisp.com\/helps\/","name":"\u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3","description":"\u9999\u6e2f\u670d\u52a1\u5668_\u9999\u6e2f\u4e91\u670d\u52a1\u5668\u8d44\u8baf_\u670d\u52a1\u5668\u5e2e\u52a9\u6587\u6863_\u670d\u52a1\u5668\u6559\u7a0b","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.wsisp.com\/helps\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"zh-Hans"},{"@type":"Person","@id":"https:\/\/www.wsisp.com\/helps\/#\/schema\/person\/358e386c577a3ab51c4493330a20ad41","name":"admin","image":{"@type":"ImageObject","inLanguage":"zh-Hans","@id":"https:\/\/www.wsisp.com\/helps\/#\/schema\/person\/image\/","url":"https:\/\/gravatar.wp-china-yes.net\/avatar\/?s=96&d=mystery","contentUrl":"https:\/\/gravatar.wp-china-yes.net\/avatar\/?s=96&d=mystery","caption":"admin"},"sameAs":["http:\/\/wp.wsisp.com"],"url":"https:\/\/www.wsisp.com\/helps\/author\/admin"}]}},"_links":{"self":[{"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/posts\/106361","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/comments?post=106361"}],"version-history":[{"count":0,"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/posts\/106361\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/media\/106358"}],"wp:attachment":[{"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/media?parent=106361"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/categories?post=106361"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/tags?post=106361"},{"taxonomy":"topic","embeddable":true,"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/topic?post=106361"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}} | | | |
![\"\"](\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/09\/20260917010031-6aab3baf03ed6.jpg\")
<\/p>\n![\"\"](\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/09\/20260917010031-6aab3baf462b5.jpg\")
<\/p>\n![\"\"](\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/09\/20260917010031-6aab3baf71837.jpg\")
<\/p>\n