Localize your cat at home with BLE beacon, ESP32s, and Machine Learning
Published:Feb 4, 2021 09:39
•1 min read
•Hacker News
Analysis
This article describes a DIY project using readily available hardware and machine learning techniques to track a cat's location within a home. The project's appeal lies in its practicality and the combination of hardware and software skills required. The use of BLE beacons, ESP32 microcontrollers, and machine learning suggests a relatively accessible and cost-effective solution. The project's success would depend on factors like the accuracy of the BLE signal, the effectiveness of the machine learning model, and the cat's willingness to wear the beacon.
Key Takeaways
Reference
“The project likely involves collecting data from BLE beacons, processing it on the ESP32s, and training a machine learning model to predict the cat's location based on the received signal strength.”