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Vision Components is NXP Registered Partner and supports i.MX 8M Mini/Nano/Plus
Vision Components presents various new camera modules that combine high image quality and frame rates with the advantages of the MIPI CSI-2 interface and consist of the sensor board and a fully integrated MIPI adapter board.
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.
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.
Our new drivers delivered as source code allow developers to connect all VC MIPI® camera modules easily and quickly to the powerful NVIDIA® boards that are a perfect fit for AI projects.
We have 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.
With our new VC MIPI Embedded Vision Kit for the Raspberry Pi Compute Module 3/3+, you can quickly setup full-fledged, industrial-grade embedded vision systems. Your benefit: A cost-effective and powerful solution for all development processes!
At ISC West, we present our 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.
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.
In the first quarter of 2020 we will present our MIPI camera modules and our latest embedded vision systems at the following trade shows: SPIE Phototnics West in San Francisco, embedded world in Nuremberg and LogiMAT in Stuttgart
Innovative applications of Embedded Vision
