
Every year, hundreds of thousands of seniors and physically challenged individuals are injured due to falls, often with no one nearby to help. SafePath is my solution: a fully autonomous, AI‑powered robot designed to patrol a home, detect when someone has fallen or become unconscious, and alert emergency contacts instantly.
Built using advanced sensors like LiDAR, AI vision, distance sensors, and a Raspberry Pi–REV Control Hub system, SafePath combines robotics, machine learning, and real‑world engineering to create a reliable safety companion for people who live alone.

SafePath uses advanced LiDAR mapping and distance sensors to move safely through a home without bumping into furniture, walls, or people.
AI body‑shape and motion analysis allow SafePath to recognize when someone has fallen or stopped moving, even in low‑visibility areas.
A motorized 4‑stage camera slide rises automatically to get a better view when the robot detects a possible emergency.
If SafePath detects a fallen person, it instantly sends a text or call to emergency contacts or 911 so help arrives quickly.
The robot continuously tracks movement, distance, and environment changes to stay aware of what’s happening around it.
SafePath logs accuracy, battery usage, distance traveled, and detection results to help measure reliability and improvement over time.
Designed to run for extended patrol sessions while avoiding obstacles, protecting people, and conserving battery power.
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