Computer Vision automation of MOST analysis.
Sponsor: Center for High Performance Systems (CHiPS) Lab
Student Team: Claire Pauwels, Tyler Haug, Kenya Frias Rodriguez, Jade Ong
Project Advisor(s): Mr. Abhimanyu Sharotry
Faculty Instructor: Dr. Gerardo Trevino-Garza
This project applies time and motion studies, specifically MOST, to analyze wagon disassembly tasks using video-based protocols. Alongside traditional industrial engineering measurement techniques, a computer vision model is being developed to automatically detect task elements and compute MOST-based standardized times. Classical manual analysis is systematically compared with AI-driven methods, with documentation of error sources and process bottlenecks. The objective is to advance the integration of automated vision systems with established time study methodologies in practical industrial environments.
I2.01 Project Presentation
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I2.01 Poster Pitch
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Team Contact Information
Team Project Manager: Claire Pauwels, gcg78@txstate.edu
Faculty Instructor: Dr. Gerardo Trevino-Garza, hts35@txstate.edu
Let us know what you think! You can evaluate our project here: I2.01 Evaluation Form