Some of My Achievements

This research poster from Ohlone College's Semiconductor Skills Bridge Academy presents an AI-based safety monitoring system for human-robot collaboration in semiconductor manufacturing. The system uses pose estimation and real-time AI detection to identify unsafe human-robot interactions, automatically triggering emergency stops when workers enter a restricted 300mm buffer zone around cobots. The project addresses a significant workplace safety problem — with 5,070 fatal U.S. work injuries in 2024 and $1B/week in employer injury costs — by building a data-driven framework that monitors worker proximity, body angles, and movement patterns, logging safety events to a cloud database for ongoing analysis.