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Careers | Investors
Language: English
23-Mar-2018

Basler Shows Machine Vision and Embedded Vision Cameras at The Vision Show 2018 in Boston

Basler Shows Machine Vision and Embedded Vision Cameras at The Vision Show 2018 in Boston

Basler will exhibit at The Vision Show 2018, the biannual show specializing in Machine Vision and imaging. The show will take place in Boston, Massachusetts, from April 10 to 12, 2018. At this expo, Basler will have two booths, one for classical Machine Vision products and one for embedded vision products and solutions.

At booth #403, Basler will show the newest Machine Vision products, specifically the new ace U models with the IMX287 and IMX273 sensors from Sony’s Pregius series. These models will be the convenient replacement for the obsolete CCD sensors. They offer high quality and high speed with 1.6 MP and VGA resolution.

The live demos at the booth will feature the new features of ace: PGI for monochrome cameras and Stacked ROI. The PGI feature set for monochrome cameras includes denoising and improved sharpness. This feature set uses raw images and the maximum sensor speed, so it enables quicker image processing and higher throughputs, while optimizing image quality.

The new Stacked ROI feature allows selecting multiple regions of interest (ROI) at the same time. This increases the speed and reduces data load when reading image data. Stacked ROI includes the use of up to eight stacked zones.

At the show in Boston, Basler will also have a separate showcase for embedded vision products and solutions. At booth #917, the recently launched dart BCON for MIPI will be displayed. It combines the MIPI CSI-2 interface which was originally developed for smartphone camera modules with the Machine Vision standard GenICam and long-term availability. Also, the embedded vision booth will have two live demos, one featuring the dart BCON for MIPI and the other with facial recognition functionality.

Basler booth numbers: #403, #917

More Information: http://www.baslerweb.com/visionshowboston2018

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