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NorthWorksLab

@northworkslab

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Do you like the stuff I build? Check my profile I have some more! Being alone in a forest is scary. But not if you have this surveillance system with you. You can track any movement around you. They can’t hide and you see them first. All performed with an esp32, some sensors and a uconsole for remote surveillance.
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I’m currently building a DIY 3D LiDAR and radar scanner. Big thanks to @northworkslab and @openelab_io for the support and inspiration. You guys rock!! The setup uses an STL-27L LiDAR mounted vertically together with an RD-03D 24 GHz radar. Both rotate on a DYNAMIXEL XL430, so I can combine the sensor data with the exact rotation angle. One of the biggest challenges is timing. Every LiDAR point and radar detection needs to match the position of the scanner at that exact moment. Otherwise the whole map starts to shift or distort. An ESP32-S3 handles the sensors and rotation control, while the software combines the data into a live 3D view. LiDAR gives me the structure of the room, radar adds information about moving targets, and the servo tells me where the sensors were pointing when the measurement happened. Still a lot to improve, but that’s the interesting part. Most of this project is testing, finding problems, changing things and testing again. The end goal is a compact system that combines LiDAR, radar and position data into one synchronized view of its surroundings.
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Timestamp is the key. I’m currently building a mobile sensor-fusion robot combining LiDAR, radar and IMU data for real-time mapping. Precise time synchronization keeps every measurement aligned while the robot is moving, allowing motion compensation, persistent mapping and cleaner sensor fusion. Inspired by my dude @northworkslab I gonna add in part 2 a much more precise LIDAR. Stay tuned! The goal: one compact platform for mapping, localization and live environmental awareness.
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If you’re looking for an affordable alternative to the Arduino I stumbled upon @northworkslab by chance. He uses the same sensor, but with a Raspberry Pi. So, for anyone who has a Raspberry Pi or a uConsole lying around: this tracker works with those, too! The XIAO ESP32-S3 (with the RD-03D attached) now runs as its own WiFi access point instead of connecting to a host device. It reads the radar, clusters targets within 1m of each other into a single point, and broadcasts the merged data over UDP — any device connected to its network automatically receives the stream, no fixed IP configuration needed. Check my GitHub to get the files and building process.
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