def analysis_yolov8(frame, model_coco, confidence):
    # 第一步：用COCO数据集推理
    results_coco = model_coco(frame)
    if not results_coco:
        return []
    boxes = results_coco[0].boxes
    person_result_list = []
    head_result_list = []
    phone_result_list = []
    for box in boxes:
        labels_name = model_coco.names[int(box.cls)]
        if labels_name == 'person':
            if float(box.conf) >= confidence['person']:
                label_xyxy_dict = {labels_name: box.xyxy[0].tolist()}
                person_result_list.append(label_xyxy_dict)

        elif labels_name == 'head':
            if float(box.conf) >= confidence['head']:
                label_xyxy_dict = {labels_name: box.xyxy[0].tolist()}
                head_result_list.append(label_xyxy_dict)
        else:
            if float(box.conf) >= confidence['phone']:
                label_xyxy_dict = {labels_name: box.xyxy[0].tolist()}
                phone_result_list.append(label_xyxy_dict)

    return person_result_list,head_result_list,phone_result_list