FRAMOS® completes its broad imaging portfolio from single sensors to complete embedded vision systems by worldwide partnering with Rhonda Software, one of the primary product development companies for Ambarella based ISPs, SoCs and SoMs, to support customers with facilitated and accelerated platform options to develop cutting-edge vision solutions.
Leading global imaging provider FRAMOS® will be presenting its imaging and embedded vision portfolio at the Vision Show in Stuttgart, Germany, November 6-8, 2018. FRAMOS will show its broad portfolio and services to enable companies to incorporate vision into their applications. FRAMOS will also highlight the launch of their ecosystem of products designed for a modularized approach to Embedded Vision.
The Sony IMX397 is a very small 1/6.4” CMOS Global Shutter sensor with a pixel pitch of 3,45µm, and providing VGA resolution. It is a low noise, low power imager with a small footprint and a high-speed throughput of 240 fps at full resolution. These qualities, together with MIPI output and a compact package, make this embedded low-cost imager a perfect candidate for Factory Automation, industrial applications, and sensing.
Global imaging provider FRAMOS® will be presenting its embedded vision portfolio including Intel®’s RealSense™ Technology at the Embedded Vision Summit. The industry leading event showcases computer vision innovations and will take place May 22-24, in Santa Clara, California.
At the UKIVA Machine Vision Conference & Exhibition, taking place on May 16th at the Milton Keyes Arena, FRAMOS® will present its broad imaging portfolio for intelligent vision, a technical expert talk on Embedded Vision and LIVE demonstrations of the Intel® RealSense™ Technology Suite and the new 25GigE interface standard.
The global imaging specialist FRAMOS® recently joined the Embedded Vision Alliance™ as a corporate member. The Embedded Vision Alliance is a worldwide industry partnership bringing together technology providers and end-product companies who are enabling innovative and practical applications for computer vision for a wide range of markets.
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