Alvium camera series nominated for Embedded Award 2019
It has been announced that Allied Vision's camera series for Industrial Embedded Vision has been nominated for the Embedded Award in the Embedded Vision category. A jury of industry experts selected the innovative camera module, powered by the ALVIUM technology developed by Allied Vision, for the nomination.
The prize will be awarded at the embedded world Exhibition and Conference 2019 in Nuremberg in February. The nominated Alvium camera series will be the focus of Allied Vision's presence at the leading international trade fair for embedded systems from February 26th to 28th 2019 (Hall 3A, booth #418).
Machine Vision performance for embedded systems
The Alvium Camera Series is a camera platform that combines the advantages of classic machine vision cameras with the advantages of embedded sensor modules: extensive functions for image correction and optimisation, a large selection of sensors, intelligent power management, cost-optimised design, and a small form factor with modular concept.
ALVIUM technology, an Application-Specific Integrated Circuit (ASIC) with integrated image sensor processor (IPS) and image processing library (IPL) ), delivers industrial performance to embedded vision. By shifting image correction and processing tasks from the host to the camera’s ALVIUM IPL, engineers can offload the CPU on their embedded boards for alternative processing tasks or reduce overall system cost by downsizing their host processor.
Visitors will receive comprehensive information about the versatile possibilities of the new embedded camera module. Several live demonstrations running on different embedded boards show cameras of the Alvium Series in action. Additionally, Allied Vision cameras and live demos are shown at the following booths:
- Antmicro: Hall 4A, Booth #621
- NXP Semiconductors Germany: Hall 4A, Booth #220
- Toradex: Hall 4, Booth #410
Allied Visions presentations at the Embedded World Conference 2019
- ‘High Image Quality for Embedded Vision Applications’ by Henning Haider, February 26th, from 11:30 to 12:00.
- ‘Bridging Embedded Vision and Machine Vision with a Hybrid Driver’ by Mark Schenk and Sebastian Günther, February 26th, from 5:00 to 5:30.