Navneet Nagi

Navneet Nagi is a senior computer vision (CV) engineer working at Integro Technologies Corp., a large machine vision integrator. He has developed, scaled and helped deploy numerous automated inspection systems in production across industries ranging from agriculture to aerospace. He has extensive experience in developing algorithms for automated industrial inspection applications using both traditional CV techniques and deep learning. He is passionate about applying advanced deep learning techniques to solve the toughest industrial inspection challenges and scaling up those solutions. Nagi holds a Master’s degree in Mechanical Engineering from Virginia Polytechnic Institute and State University, specializing in Computer Vision and Advanced Control Theory, and a Bachelor's degree in Aerospace Engineering from Florida Institute of Technology.

Articles

ARTICLES

QM VS 0322 Trends 3D rendering thermal image of good seal image 1
Vision & Sensors | Trends

Advanced Imaging And Deep Learning Technologies Execute Critical Packaging Inspection

While machine vision applications have been highly successful for decades using "analytical" vision tools, deep learning is able to successfully solve very complex classification and object detection problems with ease.
Navneet Nagi David L. Dechow
March 1, 2022

Product packaging - in an extremely broad range of markets from food to pharma - frequently incorporates an extremely important sealing technology called “tamper evident” seals. 


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