Multi-camera people matching and selection method

A multi-camera people matching and selection method, comprising:

• capturing a plurality of images by a plurality of cameras in a space;
• analyzing the plurality of images captured by the plurality of cameras to generate a plurality of member features by using a machine learning model;
• transmitting the plurality of member features and corresponding cropped or full images to a plurality of corresponding buffers;
• synchronizing the plurality of member features and the corresponding cropped or full images according to temporal proximities in the corresponding buffers;
• generating a matching result according to differences of corresponding feature embeddings and spatial relationships realized by object detection or direction of audio to identify a member;
• adjusting preference scores of members based on member features for displaying an appearance of the member smoothly;
• identifying a front side of the member by determining whether a head is retrievable, whether a right part of the head is at a right side of a left symmetrical part of the head, a face size, and a ratio of a distance between a center of the head and a center of eyes to a width of the head;
• adjusting display scores of members according to presences of the members;
• and
• displaying images of best appearance.