Back_End on Charlie Howlett

Reverse Engineering Roland TM-2

Fri, 19 Jun 2026 00:00:00 +0000

While building my compact hybrid drumming rig, I became very familiar with the Roland TM-2. The module has an enormous number of settings and even lets users save configurations to an SD card as .TM0 files. One day, I opened one of these files on my computer to see what was inside. I found mostly unreadable raw binary data, with a short string of plain English text at the top: the name of my save file. This led me to wonder whether I could reverse engineer the format and display all the information in a web-based user interface.

Arduino LoRa Monitoring System

Tue, 11 Jan 2022 00:00:00 +0000

I rent a small drumming practice space that I share with several other musicians on a timetable basis. I built this monitoring system to understand how often people were using their booked time slots and how the room’s environmental conditions changed over time. Since the space has no Wi-Fi and unreliable mains power, the project became an interesting challenge involving low-power hardware, long-range radio communication, and remote data collection.

Sensor node

The sensing node is built around a 3.3V Arduino Pro Mini with sensors for PIR motion, humidity, temperature, and ambient light. Every ten minutes, it wakes up, collects readings, packs them into a small JSON payload, transmits the result by radio, and returns to sleep. I spent a significant amount of time reducing its power consumption so the device could run for roughly six months from three AA batteries. For this project, reliable long-term monitoring mattered more than collecting readings more frequently.

Automating Lights with a Raspberry Pi

Thu, 02 Sep 2021 00:00:00 +0000

Pi Lights was a fairly simple idea and my first exploration into DIY home automation: measure the ambient light level throughout the day using a Raspberry Pi, then switch Wi-Fi lights on or off automatically.

Implementation

The system polls several light-dependent resistors and averages their readings before deciding whether to switch the lights. Using multiple sensors and rate-limiting changes made the automation less sensitive to brief shadows or sudden changes in brightness. A dedicated light-sensing Raspberry Pi HAT would have been more accurate, but I wanted to see if I could build a first pass using components I already had lying around. I ran the software as a Linux service so it would start automatically and continue working in the background without needing any attention.