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Raspberry Pi Surveillance with Motion Alerts

Approx. component budget: Rs. 4,000 - 8,000

Objective

Build a low-cost camera system that avoids false alarms from shadows and lighting changes.

What you will build

A Raspberry Pi with a camera that detects motion or people, saves short clips, and sends an alert with a snapshot to the phone.

Results you can expect

• Detection rate and false alarm rate over 24 hours
• Alert delay in seconds
• CPU load
• Storage used per day
• And a comparison of simple motion detection vs a person detector

What you will learn

Video processing, background subtraction, lightweight neural networks on small devices, and notifications.

Tools and notes

Raspberry Pi, Pi camera, OpenCV, MobileNet-SSD or TFLite, Telegram bot. Place cameras only where you have permission and tell people they are recorded.

Resume points from this project

• Built and tested Raspberry Pi Surveillance with Motion Alerts; objective: build a low-cost camera system that avoids false alarms from shadows and lighting changes.
• Measured and analysed detection rate and false alarm rate over 24 hours and alert delay in seconds; wrote the report and presented the results in a viva. Add your own numbers: [x].

Replace [x] with your own measured results. Write only what you really did.

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