Vision Components GmbH ads

Lots of sensors, lots of interfaces. Tell us about your application and we'll help you find the right camera module.👇

Every camera integration project seems to start the same way. Pick an image sensor, then spend the next few weeks figuring out cables and connectors for your processor board, plus finding and installing the right driver. We think that's backwards. A camera system should click together like a kit, not get solved like a mystery quiz: camera, cable, processor board, done. That's the whole idea behind the VC MIPI® Bricks System: no adapter board, connectorless FPC cables in lengths from 60 mm to 500 mm, everything built for plug&play with MIPI CSI-2. And it doesn't stop at the hardware. We provide drivers for your processing board in source code or even upstream them to mainline linux for our new VC MIPI® Blueline cameras, so the software side stops being a separate project too. You can plug it together yourself at VISION 2026, October 6 to 8, Hall 8, Booth 8C31 - cameras, cables and boards laid out to try. What's the last camera integration that took longer than it should have?

Meet us at VISION to talk about your embedded vision projects. You'll find us here: 📍Halle 8, Stand 8C31

Indoor farming is an interesting application for multispectral imaging, with a controlled environment, stable lighting and no vibration and motion artifacts, compared to outdoor smart farming tasks. To capture plant health data across multiple wavelength bands in a single shot, our VC MIPI IMX454 is an ideal camera module: It features a rolling shutter sensor and captures 41 wavelength bands from 450 to 850 nm at up to 120 frames per second. On top, the camera comes at a very affordable price point that enables versatile use-cases. A field robot bouncing over uneven ground is a totally different story--and one that requires a global shutter sensor to receive accurate results. This is, why we offer 50+ different image sensors: the application defines the sensor, not the other way around. Where are you using multispectral imaging, with which image sensor? And what was the deciding factor for this sensor?

Tell us about your ideas and challenges 🤝🏼

At some point in every vision design, positioning of camera and processor board becomes an issue - plus cables, as a result. In robotics, cameras are often integrated in grippers or at the end of an arm, to be as close to the workpiece as possible. Space is tight in every direction. FPC cables work well at short distances and there are options for longer cable length, such as micro-coax cables and GMSL2. But sometimes even the shortest cable adds too much bulk and complexity. For these use-cases we offer our VC MIPI Cameras with board-to-board connectors to directly plug the camera into the processing board. No cable, less space required, fewer components necessary. In volume production that also reduces cost – not dramatically, but consistently. The trade-off: the camera position is fixed and there has to be enough room for the processing board directly where the lens sits. What do you think, is this an interesting option? How are you handling camera integration in space-constrained designs?