For some time we’ve caught rare glimpses of small, rabbit-like animals who seem to be living under our front porch. We’ve seen little, round ears bobbing past the window, footprints in the snow, and during one hot summer I found a dead chinchilla in the garage – the poor thing couldn’t take the heat.
So I’ve decided to capture photos of the little fellows – or at least try – using a Raspberry Pi, motion-detecting Webcam. The project as it unfolds is stored on my ChinchillaCam Repository on github.
Continue reading Chinchilla Cam: Installing the Raspberry Pi Camera Module and OpenCV
In my previous post, I covered the mechanical construction of the scale. In this post, I finish assembling the scale, calibrating it, and installing it.
Continue reading Dog Water Bowl Scale, Part 3: Final Assembly and Installation
In my previous post, I wrote the Raspberry Pi Node.js code to upload data from Pippa’s dog bed scale to data.sparkfun.com (update: site is down in 2021). This post covers how to make a Node.js program run automatically when the Pi is turned on. Oh, and at the end I installed the finished scale under Pippa’s bed.
Continue reading Dog Weight Scale Part 15: Scale is Installed and Uploading Real Data
In my previous post I finished the hardware for the scale and calibrated it. This post covers getting data from the scale to Sparkfun’s Data Warehouse (Update: by 2021 the site has been taken down).
By the way, the nRF Master Control Panel (BLE) from Nordic is the perfect tool for debugging Bluetooth Low Energy devices and messages. It understands a pile of standard Bluetooth data types as well as the Physical Web, so it’s a quick way to find out whether your Arduino project is sending the right data.
Continue reading Dog Weight Scale Part 14: Uploading Data to data.sparkfun.com