The traditional posture recognition method was to attach equipment such as sensors to humans to understand their movements. However, there was an inconvenience of having to wear the equipment all the time in real life, while also restricting mobility when wearing the equipment. To overcome these limitations, motion keypoint detection using artificial intelligence forms a set of coordinates that can be connected to describe a person's pose. After holding each keypoint with each human joint, you can extract the human skeleton by connecting the keypoints in the image or video. Use the extraction results to analyze the behavior of the detected person from various angles.
||MP4, JPG, PNG, etc.||Image or video data||API|
||JPG, PNG etc.||Human skeleton detection||API|
||Attached file upon application
|API Setting||$1,800 ~|