Computer Vision
Custom models
Monitoring system with AI
Real-time surveillance using YOLO object detection and geometric analysis — automatically identifying falls in homes, hospitals, and industrial facilities without heavy computation.
Standing — Normal
Bounding box height > width → person is upright. Green box, no alert triggered.
Fallen — Alert!
Bounding box width > height → person is horizontal. Red box + “FALLEN!” label + terminal alert.
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Sound AlertLocal audio trigger on fall event
SMS / PushTwilio or Firebase integration
Telegram BotInstant photo + message to caregiver
Web DashboardFlask / React live monitoring panel
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Real-time processingFrame skipping + fast inference keeps the system running smoothly even on standard laptops with no GPU required.
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Lightweight fall logicGeometric aspect-ratio analysis replaces heavy pose estimation models — faster deployment, lower resource cost.
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Scalable & customizableSwap in a custom model (best.pt), add any alert channel, or embed into a Flask web dashboard with minimal changes.
The full source code, model weights, and integration guides are available below.



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