The Vision-to-Motion (V2M) Engine

TECHNOLOGY SUMMARY

Our algorithm engine automates the factory stopwatch. Using computer vision, it analyzes video of workers and instantly translates their movements into industry-standard predetermined motion time system data such as MOST/MODAPTS. This replaces hours of manual analysis by engineers, allowing manufacturers to optimize their assembly lines faster and more accurately.

AREA/MATURITY/AWARDS

Primary Application Area: AI & Digital Transformation

Technology Development Status: Concept

Technology Readiness Level: TRL 3

Vetted Programs/Awards: TXST New Ventures Winner ($20k) - Funded company formation and initial prototype; Faculty Innovation Accelerator (university's internal NSF I-Corps style program) - Validated the pivot to "Time & Motion" via customer discovery; Ecosystem Recognition - Featured at SXSW (2022-24), Defense TechConnect, and Bobcat Den Finalist.


SHOWCASE SUMMARY

Organization Type: R&D/Laboratory/University

Website: https://chips.engineering.txstate.edu/

National Innovation Awardee

MARKET KEYWORDS

Market Keywords: Industry 5.0, Industrial Engineering, Time & Motion Study, Computer Vision