BitFlow to Sponsor Live Webinar on Infrared and Hyperspectral Machine Vision in Food & Beverage Inspection

To help producers successfully incorporate infrared and hyperspectal imaging, BitFlow, Inc., a manufacturer of frame grabbers, is sponsoring a free webinar titled "Imaging Technologies in Food and Beverage Inspection," scheduled for Thursday, October 4 at 10:00am Eastern Time (U.S) and 3:00pm (U.K).

WOBURN, MA, SEPTEMBER 4, 2018 -- Food and beverage producers face mounting pressure to verify quality, ensure accurate packaging, and deliver consumables that are traceable through the supply chain. As government safety regulations are further tightened and consumers demand more transparency about contents, the adoption of newer, more avanced imaging systems is on the rise, especially infrared and hyperspectral technologies.


To help producers successfully incorporate infrared and hyperspectal imaging, BitFlow, Inc., a manufacturer of frame grabbers, is sponsoring a free webinar titled "Imaging Technologies in Food and Beverage Inspection," scheduled for Thursday, October 4 at 10:00am Eastern Time (U.S) and 3:00pm (U.K). Participants will enjoy an open and candid discussion with two leaders in the machine vision industry -- Raf Vandersmissen, Product Manager at Xenics and Mark Williamson, Managing Director at Stemmer -- and take away ideas for addressing specific imaging challenges, tips on how to employ the new technology, and increase the quality, field and cost-efficiency of their systems.

The webinar's first speaker will be Raf Vandersmissen who will address "Infrared enabled inspection applications," discussing how companies can leverage current infrared technologies to give them an edge in a highly competitive market. The second speaker, Mark Williamson, will tackle the topic of how machine learning and hyperspectral imaging are advancing food and beverage inspection. Hyperspectral imaging can capture many types of food contamination such as mold that may lay below the surface and are not easily detected even by the human eye. Greg Blackman, editor of Imaging and Machine Vision Europe, will serve as moderator.

To register for the free webinar visit https://event.webcasts.com/starthere.jsp?ei=1209617&tp_key=716f2101c0

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ST Robotics Develops the Workspace Sentry for Collaborative Robotics

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The ST Robotics Workspace Sentry robot and area safety system are based on a small module that sends an infrared beam across the workspace. If the user puts his hand (or any other object) in the workspace, the robot stops using programmable emergency deceleration. Each module has three beams at different angles and the distance a beam reaches is adjustable. Two or more modules can be daisy chained to watch a wider area. "A robot that is tuned to stop on impact may not be safe. Robots where the trip torque can be set at low thresholds are too slow for any practical industrial application. The best system is where the work area has proximity detectors so the robot stops before impact and that is the approach ST Robotics has taken," states President and CEO of ST Robotics David Sands.