KananMahammadli/Fall-Detection-using-CNN-Architecture
Detecting whether a person has fallen or not based on images
This project helps caregivers and monitoring services automatically detect falls using video feeds. It takes in images, typically frames from a camera, and determines whether a person is falling, has fallen, or is standing. It's designed for anyone responsible for the safety of individuals, especially the elderly, in settings like homes or assisted living facilities.
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Use this if you need an automated system to identify falls from visual data to ensure timely assistance.
Not ideal if you require fall detection without relying on camera imagery or need a system that integrates with wearable devices.
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Sep 26, 2021
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