Internet of Tubes

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  ML traning data sample (No Leak)

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  ML training data sample (Leak)

Inspiration

To maintain large buildings and industrial machinery, it is important to identify chemical/liquid as early as possible. Our system provides a means to autonomously use robots to survey and notify if a leak is detected.

Workflow:

1. Control panel detects Gas leaks
2. A robot is dispatched to look for leak
3. Robot detects and reports leak

What it does

The system uses a combination of an IR camera, Google Cloud AutoML and MQ Gas sensors to detect pipe leaks.

How we built it

We build 3 components:

• Handheld Thermal cam: Raspberry Pi 3 A+, Adafruit AMG8833, Pimori HyperPixel, Raspberry Pi Camera, Adafruit Boost 1000, Lipo Battery

• Robot: Elegoo Robot Smart Car Kit

• Control Panel Kiosk Raspberry Pi and MQ Gass sensors.

What's next for Internet of Tubes

Higher quality IR Camera

Built With

• raspberry-pi
• gcp
• python
• arduino