Machine Vision Lab
Our team of PhDs and engineers help medical device and automation teams turn vision and imaging ideas into production-trustworthy algorithms. We don’t build cells or sell cameras — we plug in as the algorithm team alongside your existing engineering and integration partners.
- Vision & Imaging Algorithm Development
- Design and implement robust vision/imaging algorithms (classical + ML) for inspection, defect detection, measurement, and imaging pipelines — built to survive real-world variability.
- Feasibility & Risk Evaluation
- Quickly assess whether a vision/imaging use case is viable with your real samples and constraints. Clear answers on expected performance, key risks, and what it would take to get to production reliability.
- Reliability & Performance Improvement
- When a system “works in the demo” but not in production: diagnose failure modes, reduce false rejects/misses, and tighten evaluation so improvements are measurable and repeatable.
- Edge / On-Device Optimization
- Optimize algorithms for real-time, embedded, or edge constraints (latency, throughput, memory). Make models and pipelines run where they need to run — reliably.
Let's work together
Fill out this form and let us know how we can help.