Project Sentinel: Home security using Raspberry Pi and Tensorflow
summary
A project shows how to build a home security system on a Raspberry Pi using TensorFlow for face and object recognition. It covers customization (integrating with smart lights, locks, alarms), local data storage to avoid cloud privacy issues, use of open-source libraries for transparency, and real-time mobile alerts.
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chapters (11)
- 0:00Project introduction
- 1:22Security cameras and Raspberry Pi
- 2:43Data collection and labeling
- 5:57TensorFlow model selection
- 9:20Model training
- 12:01Export to TensorFlow Lite
- 13:07Hardware and system setup
- 16:38Initial tests and results
- 17:06Future improvements and scalability
- 18:35Conclusion and lessons
- 19:48Q&A
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