Martin Cassel

/Martin Cassel

About Martin Cassel

This author has not yet filled in any details.
So far Martin Cassel has created 156 blog entries.
18 10, 2018

VISION 2018 – Deep Learning, New Hard- and Software

At VISION 2018, booth 1C72, we will focus on CNN-based deep learning hardware and software on FPGAs for real-time applications with high bandwidths in object and feature classification. The close interaction of our hardware and software is suitable for the integration of neural networks of different depth and size for industrial requirements such as inline

15 10, 2018

CRAV Conference 2018 Combines Robotics and Vision with AI

This year's Collaborative Robots, Advanced Vision & AI Conference (CRAV.AI) held on October 24-25, 2018 in San Jose, U.S.A. presents the latest developments in robotics and vision and combines them for the first time with Artificial Intelligence (AI). Users, OEMs, manufacturers and integrators from the automation industry will find something of interest,

8 10, 2018

Webinar about „How to use FPGAs to accelerate deep learning“

While deep learning is a hot topic, it is still limited to non-manufacturing production rate speeds. To go beyond the real-time performance limit of GPUs, a new technology must be considered in combination with deep learning inference models... FPGA processors! This webcast demonstrates how Deep Learning is used as modern classification technology

2 10, 2018

New Chair of the VDMA Machine Vision Group

Our CEO, Dr. Klaus-Henning Noffz, has been elected Chairman of the VDMA Machine Vision group in the Robotics & Automation trade association for the next three years on its general meeting on September 28th and 29th. He succeeds Dr. Olaf Munkelt, Managing Director of MVTec Software GmbH, who held this position for nine years.

1 10, 2018

70th Heidelberg Image Processing Forum about Machine Learning

The 70th Heidelberg Image Processing Forum will focus on "Machine Learning and Ground Truth for Image Processing". New technologies such as deep learning raise new questions: Why are these procedures so successful? What characteristics must data sets have so that learning processes can be successfully developed with them? From a legal point of view, what

10 09, 2018

VisualApplets Workshops in 4th Quarter

Silicon Software offers an extensive training program for you to learn the award VisualApplets graphical FPGA development environment in an optimal fashion. VisualApplets was developed by Silicon Software to empower software and applications engineers to use FPGA accelerated hardware based image processing. Its graphical approach via data flow models greatly simplifies FPGA programming and the

29 08, 2018

VisualApplets User Forum Has Started

From now on it is easier than ever to inform yourself about VisualApplets, to exchange information and to get support. At https://forum.silicon.software VisualApplets users and interested parties can access the non-public discussion forum in English via desktop PCs and mobile devices. Silicon Software experts will moderate the forum, actively support it and expand the knowledge

29 08, 2018

Move to a New Building in Mannheim Quarter “Eastsite”

In September our Headquarter relocates to a newly put up building in the business park Eastsite in Mannheim. Due to a steady growth of the employees up to meanwhile more than 50 colleagues we fulfilled ourselves the wish for bigger facilities with flexible room partitioning. After the 20 years‘ company jubilee last year we have

21 08, 2018

Deep Learning High Performance Solution on FPGA Frame Grabber

Deep learning has proven to be a successful solution in many applications when environmental parameters become variable or algorithms become complex. For use in production, there is now a solution that can handle bandwidths in excess of 200 MB/s. In keeping with the requirements for high computing power, the microEnable 5 marathon deepVCL was specially

15 08, 2018

VisualApplets 3.1 – Support of Frame Grabber with 3-fold Higher Computing Power

microEnable 5 marathon VCLx for high-performance applications The microEnable 5 marathon VCLx is the latest member of the Camera Link frame grabber family: a programmable high-performance frame grabber equipped with a Xilinx FPGA processor for the most demanding image processing. Compared to the existing Camera Link solution of the marathon series,

X