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Fall detection sounds straightforward - until you try to implement it in the real world.
Most existing solutions force a compromise. Cameras provide visibility but at the cost of privacy,
making them unsuitable for personal spaces like bedrooms and bathrooms. Wearables, while
effective in theory, rely heavily on user discipline - and in many cases, they are simply not worn
when needed most. PIR sensors, on the other hand, depend entirely on motion and fail the
moment a person becomes still, which is often exactly what happens after a fall.
This creates a clear gap: the need for a system that can detect falls accurately, instantly, and
without intruding on personal privacy.
