Research Focus: Smart Devices in Makerspaces
Mission: Enable the curation of a database for various machine parameters (e.g., current, vibration, temperature) by developing a unique, low-cost, non-invasive, scalable solution. This solution aims to help makerspaces develop actionable insights, leading to smoother operations and maintenance. To achieve this, the solution must be able to be handled by anyone, regardless of background, standalone, and have clear documentation. This will allow individuals of any background to create various algorithms for machine uptime, predictive maintenance, or anomaly detection.
Current Goal: Utilize a microcontroller (such as a Raspberry Pi) to stream multifaceted, non-invasive data (e.g., vibration, thermal) from power tools to the cloud, where the data can be monitored for vital signs and used to predict potential breakdowns or operational misuse.
Current Iteration: The current setup uses a Raspberry Pi connected to a Teensy 4.0, which reads inputs from an MPU6050 and an MLX90614 sensor, then transmits the data via AWS for future reference.
