Imagine being able to map an entire room in 3D, in real-time, using a device no larger than your palm. Sounds like science fiction, right? But it’s not. Thanks to the ESP32 microcontroller, the VL53L5CX sensor, and an IMU (Inertial Measurement Unit), this futuristic capability is now within reach. In a recent demonstration by [Henrique Ferrolho], the VL53L5CX—a tiny 8x8 grid ranging sensor—was used to perform a detailed 3D scan of a room, measuring distances up to 4 meters. But here’s where it gets even more fascinating: by combining the sensor’s data with orientation information from the IMU, the ESP32 processes these streams and sends them as JSON to a connected computer, creating a dynamic, real-time 3D map. And this is the part most people miss: the system isn’t just about scanning; it’s about precision. Noise filtering, orientation tracking, and advanced plane-fitting algorithms work behind the scenes to ensure accuracy, making this setup a powerhouse for applications like robotics, augmented reality, or even home automation.
Now, let’s talk sensors. ST’s VL53L5CX stands out from its simpler cousin, the VL53L0X, which is limited to 2 meters and lacks the multizone array capability. The VL53L5CX, however, boasts a 4-meter range, a 60 Hz sampling speed, and an 8x8 grid that captures spatial data with remarkable detail—features that make it ideal for 3D scanning. But here’s the controversial part: while this setup is incredibly powerful, it’s not without its challenges. The complexity of integrating IMU data with sensor readings can be daunting for beginners, and the cost of high-quality components might raise eyebrows. Is this technology ready for mainstream use, or is it still a niche tool for enthusiasts and professionals? We’d love to hear your thoughts in the comments.
If you’re eager to dive in, the Python-based viewer for the PC and the ESP32 firmware are available on GitHub (https://github.com/ferrolho/VL53L5CX-BNO08X-viewer). Whether you’re a hobbyist or a professional, this project opens up exciting possibilities for real-time 3D mapping. So, what do you think? Is this the future of spatial sensing, or just another cool gadget? Let us know below!
