The goal of this project is to design and build a system that can accurately detect how full a scrap or parts container is and identify if it becomes blocked. These containers are used in TRUMPF’s laser cutting and sheet metal fabrication machines. Currently, container levels are checked manually, which introduces inconsistent assessments and increased machine downtime. The system will track how much material collects in each container and send real-time data through an API that connects to TRUMPF’s Smart Factory network. The mechanical engineering team will design a stable frame to hold the sensors above the containers without interfering with machine operations. This frame must stay steady, reduce vibration, and keep the sensors properly aligned while working with different container shapes and sizes. The full system will combine mechanical, electrical, and software parts that work together to measure, process, and share fill-level data. The project will not redesign TRUMPF’s containers or AGV systems but instead create an external system that works with the equipment already in use.

Our team collaborated with Computer Science & Engineering 30,Electrical and Computer Engineering 4 on this project.