From Software to Hard ware: How Do I Track My Cat with JavaScript
summary
Describes building a cat tracker that detects motion, captures images, runs JS cat-face detection, uploads photos and sends SMS alerts. Uses Raspberry Pi camera module, PIR motion sensor, Node.js with Johnny Five and child processes, and the open-source Kittydar detector. Forked worker handles expensive image-to-canvas processing; Cloudinary stores images and Nexmo sends texts. Demos include wiring, spawn/fork commands, measurable false positives and iterative retraining; RFID and camera upgrades are planned.
AI-written summary · about
chapters (14)
- 0:00Start
- 2:37Arduino
- 3:13Sketch
- 5:31KittyCam Raspberry Pi camera with cat facial detection!
- 8:37Programming Raspberry Pi Pre-installed on Raspbian OS
- 9:18Installing Node ARM
- 11:57Raspistill Command Line Tool
- 12:16PIR Sensor Run Camera
- 12:58Processing Photo
- 15:17detectCatsFromPhoto.js
- 17:52Cat Facial Data
- 18:16Neural Network
- 19:14View Photos Real-time via Socket
- 22:18Next Steps • Upgrade Hardware Raspberry Pi 3
related talks
26mFrom Software to Hardware: How Do I Track My Cat with JavaScript
24mFrom Software to Hardware: How Do I Track My Cat with JavaScript
23mWhere does the Javascript run, anyway?
18mAn Introduction to IoT (Internet of Toilets); Or How I Built an IoT Kitty Litter Box Using JS
17mAbout life, robots and cats!
32mAn Intro To IoT (Internet of Toilets 🚽); Or How I Built an IoT Kitty Litter Box with JavaScript
41mBringing JavaScript to the IoT Edge
17mUsing JavaScript to Find Your Dog
