ECE

Our team designed a line of sign communications system that sends text messages between two devices using infrared lasers.

We designed an ML-Driven Wirelessly Controlled Robot which uses machine learning to detect objects of a given class and automatically navigate towards the closest one within its camera view. The robot is able to detect over 80 different classes of objects, and can also be controlled via three modes: Physical Joystick, ML Object Detection, and Web‑Based Virtual Joystick.

Problem Statement In the Computer Studies Building (CSB), transporting exam materials or heavy items is a necessity for students and faculty. Utility carts are often misplaced or not returned. Our…

Team Members Mentors Abstract The problem of detecting wildlife populations in remote areas, where in-person monitoring can be challenging. Our proposed solution is an automatic wildlife detection and monitoring system.…

Team Members Yunji Kim – B.S. Audio and Music Engineering ‘25Zian (Alan) Wang – B.S. Audio and Music Engineering ‘25Haochen (Glenn) Xiong – B.S. Audio and Music Engineering ‘25Samuel Yang…