Discover how our research breakthrough in IoT-based indoor asset tracking is solving critical challenges in modern manufacturing environments. We compare two powerful microcontroller platforms—Raspberry Pi Pico W (Wi-Fi) and Arduino Nano 33 BLE Sense (Bluetooth Low Energy)—to determine the optimal solution for real-time asset location and status monitoring.
Our findings reveal that the Arduino Nano 33 BLE Sense, enhanced with TinyML capabilities, delivers superior accuracy and efficiency in tracking manufacturing assets through beacons and tags. This innovative approach overcomes the limitations of traditional tracking methods while seamlessly integrating with Industry 4.0 frameworks.
Join us to learn how this technology can help your manufacturing operation boost productivity, reduce asset loss, optimize workflows, and gain unprecedented visibility into your production environment—all through an elegant, cost-effective IoT implementation.