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Vision Components showcased its latest embedded vision system for medical applications at the BIOMEDevice show

Photo by Vision Components GmbH

Last December, Vision Components exhibited at the BIOMEDevice show for the first time. The German embedded vision experts presented recent additions to their lineup for vision OEMs: MIPI camera boards and quad-core embedded cameras. They also showcased a data matrix reader for surgical instruments, which is based on a VC embedded vision system.

Vision Components is the leading provider of camera modules with MIPI interfaces, ready to ship 10 different camera boards now, with more to follow soon. These ultracompact, high-end, high-tech components enable easy connection of image sensors to more than 20 single-board computers, including NVIDIA Jetson, DragonBoard, all Raspberry Pi boards, and all 96Boards. The accompanying VC MIPI cables support high data rates. Highlighted new and upcoming MIPI modules for medtech applications, namely VC MIPI IMX183, VC MIPI IMX226, and VC MIPI IMX415, feature outstanding signal-to-noise ratios and sensitivity to light at an excellent price–performance ratio.

First and foremost a manufacturer of cameras with onboard computing power, Vision Components also exhibited its latest generation of embedded vision systems with a Snapdragon 410 quad-core processor that provides a substantial performance boost. Featuring 1 GB RAM, 16 GB flash memory, and various interfaces as well as extension modules, these freely programmable cameras with a Linux operating system are ideal for any OEM design and for industrial serial production in particular.

One instance of OEM applications was also showcased at Vision Components’ BIOMEDevice booth: German sensor system manufacturer IOSS has developed a data matrix scanner for noncontact identification of surgical instruments. This code reader reads differently sized data matrix codes on even and uneven surfaces, on brushed, matte, and reflecting materials. The embedded intelligence of the smart VC board camera allows for a fully integrated, highly compact desktop device that identifies medical tools in no time at all, reliably reading even damaged codes or codes that have been worn down by years of use.

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