Introduction to Machine Vision Software

May 11, 2017
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About This Webinar
Learn how to best utilize machine vision software to integrate and optimize a machine vision solution across a variety of industries — including pharmaceuticals, packaging, electronics and manufacturing.

Tom Brennan, Artemis Vision Presenter Tom Brennan will cover the various machine vision software approaches and algorithms including:

Image Representation and Color Spaces
Image Processing
Parallel Programming
Artificial Intelligence

Brennan will walk attendees through how these algorithms and methods enable new technologies such as vision guided robotics (VGR), high-speed imaging, thermal/IR imaging and 3D imaging. Attendees can expect to gain familiarity with many algorithms that underpin machine vision software packages.

Brennan is an AIA Advanced Level Certified Vision Professional and is founder and senior engineer of Artemis Vision, a machine vision software and integration company headquartered in Denver, Colo. He has successfully delivered medical imaging devices, constructed pharmacological verification systems, and designed the machine vision vehicle detection algorithms implemented as part of the DARPA Urban Challenge for American autonomous vehicles. Brennan, who has a computer software background with specific experience in image and video processing, is a graduate of Princeton University with a BSE in Computer Science.

About Euresys
Euresys s.a. is a leading manufacturer of image and video acquisition components, acquisition COTS boards and image processing software, has more than 25 years of imaging expertise in the machine vision, healthcare, ITS and video surveillance markets.

About Artemis Vision
Artemis Vision is a machine-vision solution provider that utilizes industry-leading hardware and software engineering to optimize processes. The company leverages its full test lab, in-house fabrication capabilities and software development team to prototype, design, integrate and deliver proven solutions to enable its customers to catch more manufacturing defects up front; and let them know when something goes wrong in their industrial automation process within minutes.

Listen to a brief interview with Tom on how he's seen machine vision software used to provide industrial companies with cost savings and improved efficiency.
Research & TechnologyAmericasmachine visionImagingvision guided roboticssmart camerasSensors & DetectorsVision SpectraSoftwarerobotics
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