Inspiration
Existing fall detection systems rely on wearable buttons or pendants that elderly users must actively press. But during a medical emergency, people are often unconscious, panicked, or physically unable to trigger these devices. Even worse, current systems trigger constant false alarms just from sitting down too fast or dropping something. These systems are outdated, unreliable, and not very smart.
We wanted to build something automatic, accurate, and respectful of privacy. Cameras offer more context and precision than pressure mats or pendants, but most vision-based systems rely on cloud processing which raises security concerns. So we built something different.
What it does
CareLens is a real time fall detection system powered by a multi-agent AI architecture and Raspberry Pi that runs fully offline on edge devices. It detects when a person falls and instantly triggers an alert to caregivers in real-time. It eliminates the need for wearables.
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