subha-ilamathy/fall_detection_actions
An AI system that generates video analytics based on movement-related events of a person in a room using a live camera feed which includes logging of the activities performed by the person. We use computer vision to classify the actions and the keypoint velocity-based algorithm to detect the fall events.
This system helps monitor people's movement in a room using a live camera feed. It takes video input, identifies individuals, tracks their actions like standing, walking, sitting, and lying down, and specifically detects if someone falls. The output is real-time video analytics and a log of detected activities, making it useful for caregivers, security personnel, or facility managers.
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Use this if you need to automatically monitor and log human activity, particularly falls, in a confined space using a video camera.
Not ideal if you require highly precise motion tracking for complex sports analysis or need to operate in environments with poor lighting or high visual obstructions.
Stars
20
Forks
6
Language
Python
License
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Category
Last pushed
Feb 11, 2021
Commits (30d)
0
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