Cognex Machine Vision
Tens of thousands of applications worldwide inspect billions of products each day, many products that simply could not be manufactured without machine vision technology.
Whether verifying the fill levels of soda bottles travelling on a conveyor, reading oil-stained DPM codes on automotive parts, or positioning touch screens on smartphones to micron-level accuracy, machine vision technology performs highly-detailed tasks on high-speed production lines.
Cognex® is the largest, most successful, and most recognized global player in industrial machine vision.
Cognex systems emulate human eyes and brains. Each system consists of optics, an image sensor, and high-speed electronics that work together to capture an image, and software to analyze that image and make sense of what’s being seen. While this process is second nature to humans, it is a very complex challenge for a computer.
Cognex is focused entirely on solving the toughest problems in machine vision and industrial barcode reading, and have sold more solutions in these areas than any other company in the world.
Viska Systems are proud to be Cognex Partner System Integrator and offer their products to our customers:
2D Vision Systems
Cognex In-Sight® 2D vision systems are unmatched in their ability to inspect, identify, and align parts. These self-contained, industrial-grade vision systems combine advanced vision tools with high-speed image acquisition and processing.
3D Vision Systems
Whether performing a single profile measurement or scanning an entire surface in 3D, Cognex has powerful and robust 3D vision tools to deliver high accuracy surface feature measurements and inspections.
Vision Sensors
Cognex vision sensors provide highly reliable pass/fail error-proofing inspections thanks to powerful vision tools, integrated lighting, modularity, and an easy-to-use setup environment.
Vision Software
Combined with flexible and powerful PC-based development, Cognex vision software makes it faster than ever to create and deploy solutions for the most challenging deep-learning or traditional machine vision applications.
