This session highlights how RGB camera–based computer vision is transforming operations on the factory floor. Drawing on real deployments from Cargill’s food processing facilities, we’ll walk through a series of high-impact use cases ranging from classical computer vision to advanced convolutional neural networks (CNNs). Examples include worker safety monitoring, action recognition, real-time food yield estimation, and automated object counting. Along the way, we’ll cover a toolkit of practical algorithms—object detection, tracking, segmentation, and color clustering—and discuss how these methods can be scaled reliably in industrial environments to drive safety, efficiency, and productivity.

Speaker

Shrey Pareek Computer Vision Scientist Trunk Tools (United States)

Dr. Shrey Pareek is a Computer Vision Scientist at Trunk Tools. Prior to this role, he served as Computer Vision Capability Leader at Cargill, where he led work on large-scale computer vision problems across diverse industrial domains. His experience spans vision-based automation, object detection and tracking, image segmentation, 3D point-cloud analysis, and thermal imaging.

In addition to his industry work, Dr. Pareek is an Adjunct Faculty member at the University of St. Thomas, where he teaches courses in artificial intelligence and data science.

He earned his Ph.D. in Medical Robotics from the University of Illinois at Urbana–Champaign and a master’s degree in Mechanical Engineering from the University at Buffalo. His research and professional interests include robotics, machine learning and reinforcement learning, human–machine interaction, brain–computer interfaces, and user-centered system design.

 

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Event Details

FORMAT: Oral presentation followed by audience Q&A.
MENU: Coffee, decaf, tea and water will be available nearby.
SETUP: Theater seating.