University of Minnesota researchers creates a scalable drone swarm system utilizes high-resolution cameras and neural networks to analyze smoke plume dynamics.
Project Background: Germanium Meniscus Lenses for Medical Laser Systems A global leader in medical laser technology, renowned for its cutting-edge surgical and diagnostic systems...
Unlock the power of Computational Imaging in modern manufacturing with advanced lighting control strategies—discover how Leimac’s high-speed controllers and optimized LED setups...
Find the specifications of Sensor To Image products: GigE Vision, CoaXPress and USB3 Vision IP cores for FPGAs. They minimize development time while offering high performance ...
High speed, high power 3D laser sensor designed for machine vision applications performed in challenging conditions, such as inspection of hot and cold materials
Justine Murphy describes a machine vision system to monitor the health of industrial machinery and another system to inspect welded joints on automobile shells.
The 3D machine vision system projects patterns of light on the surface of the car, and a deep learning module analyzes distortions in the reflections to identify defects.
John Deere and other companies use embedded vision technology to distinguish between weeds and crops automatically, improving efficiency on commercial farms.
The author from Edmund Optics provides a detailed discussion of the various specifications and potential trade-offs that go into designing a custom microscope objective.
MIT researchers introduce a deep learning approach enabling robots to be controlled using just one RGB camera, potentially broadening design possibilities and reducing costs.
Watch Justine Murphy as she covers the latest headlines in machine vision including how machine vision and imaging are automating weeding on commercial farms as well as a review...