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Baby Proofing with Raspberry Pi, Machine Learning and Twilio Programmable SMS

Blog post from Twilio

Post Details
Company
Date Published
Author
Alina Libova Cohen
Word Count
1,874
Company Posts That Month
74
Language
English
Hacker News Points
-
Post removed?
No
Summary

A Raspberry Pi-based system using machine learning and Twilio Programmable SMS can be used to create a 24/7 "rent-a-cop" for monitoring areas of homes, particularly for detecting cats. The system uses YOLO (You Only Look Once), a real-time object detection library, Darknet, an open-source neural network framework, OpenCV, a library for image processing, NNPack, a package for accelerating neural network computation, and Twilio to send notifications. The setup involves installing the necessary software, compiling the code, and configuring the system to use a webcam and send SMS notifications when a cat is detected. The system can be customized to detect specific objects, such as cats, and send notifications with a delay to prevent spamming.

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