Product News

New High-Performance VC Z Series Cameras

Vision Components recently announced the availability of its new intelligent camera series VC Z. The embedded systems offer real-time image processing suitable for demanding high-speed and line scan applications. All models are equipped with Xilinx’s Zynq module, an ARM dual-core Cortex-A9 with 866 MHz and an integrated FPGA.Vision Components - VC_Z_series_stapel_pingu

The new camera is based on the board camera series VCSBC nano Z. With a footprint of 40 × 65 mm, these compact systems are especially easy to integrate into machines and plants. They are optionally available with one or two remote sensor heads and thus suitable for stereo applications.You can choose between two enclosed camera types: the VC nano Z, which has housing dimensions of 80 × 45 × 20 mm, and the VC pro Z, which measures 90 × 58 × 36 mm and can be fitted with a lens and an integrated LED illumination. The new operating system VC Linux ensures optimal interaction between hardware and software.

Source: Vision Components

Keep up-to-date with our FREE Weekly Newsletter!

Don't miss out on upcoming issues of Circuit Cellar.


Note: We’ve made the Dec 2022 issue of Circuit Cellar available as a free sample issue. In it, you’ll find a rich variety of the kinds of articles and information that exemplify a typical issue of the current magazine.

Would you like to write for Circuit Cellar? We are always accepting articles/posts from the technical community. Get in touch with us and let's discuss your ideas.

— ADVERTISMENT—

Advertise Here

Sponsor this Article
Website | + posts

Circuit Cellar's editorial team comprises professional engineers, technical editors, and digital media specialists. You can reach the Editorial Department at editorial@circuitcellar.com, @circuitcellar, and facebook.com/circuitcellar

Supporting Companies

Upcoming Events


Copyright © KCK Media Corp.
All Rights Reserved

Copyright © 2023 KCK Media Corp.

New High-Performance VC Z Series Cameras

by Circuit Cellar Staff time to read: 1 min