Analysis

MIPI camera modules at the iREX2019 robotics show

5th December 2019
Alex Lynn

At the iREX2019, Vision Components will present camera boards and embedded vision systems for robotic vision applications such as robot guidance, bin picking, and code reading. The German vision experts the global market for camera modules with a MIPI CSI-2 interface, now offering ten different image sensors with resolutions up to 13 MP. 

These high-tech components enable compact, repeatable OEM designs and easy connection of image sensors to more than 20 single-board computers, including NVIDIA Jetson, DragonBoard, all Raspberry Pi boards, and all 96Boards. iREX2019 showcases include a demo application with a VC MIPI camera module connected to a Raspberry Pi. Vision Components supplies large numbers of MIPI boards at consumer prices. The accompanying VC MIPI cables support high data rates.

The manufacturer’s Linux-based, freely programmable embedded vision systems are also on display. Integrating a Xilinx Zynq SoC, these cameras and 3D line sensors autonomously carry out all kinds of image processing tasks. Their long-term availability guaranteed, they are a safe choice for industrial serial applications. 

The latest-generation VCnano3D-Z laser profiler features VC's proprietary ambient light suppression technology, which enables operation under up to 100,000 lux. The onboard FPGA calculates the 3D point cloud. The ARM processor can be programmed for further jobs like analysing the grayscale image. Brand-new quad-core embedded cameras provide a substantial performance boost due to the onboard Snapdragon 410 processor: 1.2 GHz clock rate, 1 GB RAM, 16 GB flash memory. 

In addition to various built-in interfaces like GigE and 12 GPIOs, this board camera is available with optional extension boards that enable easy, flexible addition of an SD card slot and more interfaces: serial interface, I²C, RS232, DSI, RJ45 Ethernet adapter, and power interface. Trade show visitors are invited to stop by the booth and discuss their vision application with the team.

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