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Vision Components based its new VC DragonCam® on the powerful Qualcomm® Snapdragon™ 410 processor.
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Vision Components offers software support for Auvidea GmbH adapter boards, which can connect multiple VC MIPI camera modules to NVIDIA Jetson TX2 and Xavier AGX developer kits.
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Vision Components will take part in the Embedded Vision Summit on 15 – 25 September 2020. The fully virtual event will offer abundant opportunities to connect with international industry experts.
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We added a new starter pack to our MIPI product range for embedded vision projects: users simply connect the camera module and MIPI cable to their NVIDIA Jetson Nano Developer Kit, and they are ready set to start application development.
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Launching its new VC MIPI Embedded Vision Kit for the Raspberry Pi Compute Module 3 or 3+, Vision Components enables quick setup of full-fledged, industrial-grade embedded vision systems.
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Intelligent laser profilers for a wide range of applications: The standard VCnano3D-Z models cover working distances from 50-2025 mm and between 40-1250 mm horizontal field of view, providing high precision with resolutions down to 10 µm.
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At ISC West, Vision Components presents its extended range of high-end camera modules with a MIPI CSI-2 port. The German embedded vision expert has integrated a bigger variety of image sensors in industrial MIPI boards than any other manufacturer.
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Vision Components adapts the widest range of machine vision image sensors on MIPI camera modules and is the first manufacturer to also integrate non-native MIPI sensors such as Sony Pregius IMX250 and IMX252.
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Vision Components welcomes Wilco Imaging Inc. as its new distribution partner in the U.S. Based in El Dorado Hills near Sacramento (CA), Wilco Imaging is an expert in machine vision and embedded vision systems of long standing, serving customers across North America.
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At the iREX2019, one of the largest international robotics shows, held in Tokyo this December, Vision Components presents camera boards and embedded vision systems for robotic vision applications such as robot guidance, bin picking, code reading, etc.
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Inspirations on how to use Embedded Vision successfully
