fbpx

Year: 2011

ims_logo_high reso

Network Video Surveillance Sales are On the Right Track

Wellingborough, UK – 2nd December 2011. The transition from analogue video surveillance equipment to network video surveillance equipment is forecast to drive growth of over 7% for the mobile video surveillance equipment market in trains and trams, over the next five years. This is just one of the findings from IMS Research’s latest report on […]

Network Video Surveillance Sales are On the Right Track Read More +

Implementing an Image Signal Processing Pipeline using FPGAs

By José Alvarez Video Technology Engineering Director Xilinx Corporation José Alvarez, Video Technology Engineering Director at Xilinx Corporation, follows up his premier video in this tutorial series with the discussion of a flexible ISP (image signal processing) implementation using readily available dynamic processing blocks in an FPGA.

Implementing an Image Signal Processing Pipeline using FPGAs Read More +

Mystery Chinese Desert Stripes: Vision Calibration Assistance for Spy Satellites?

Here's an odd one. While I've previously discussed the importance of robust imaging assemblies in military systems, my historical focus has been on drone aircraft, robots and autonomous vehicles. However, imaging is (perhaps obviously) a front-and-center function of satellites, both in terms of still and video image capture and subsequent analysis (in orbit and on

Mystery Chinese Desert Stripes: Vision Calibration Assistance for Spy Satellites? Read More +

Fig1R

Dynamic Range And Edge Detection: An Example Of Embedded Vision Algorithms’ Dependence On In-Camera Image Processing

By Michael Tusch Founder and CEO Apical Limited This article will expand on the theme initiated in the premier article of this series, that of exploring how the pixel processing performed in cameras can either enhance or hinder the performance of embedded vision algorithms. Achieving natural or otherwise aesthetically pleasing camera images is normally considered

Dynamic Range And Edge Detection: An Example Of Embedded Vision Algorithms’ Dependence On In-Camera Image Processing Read More +

714px-Matrixw

Selecting and Designing with an Image Sensor: The Tradeoffs You’ll Need to Master

By Brian Dipert Editor-In-Chief Embedded Vision Alliance Senior Analyst BDTI A diversity of image sensor options are available for your consideration, differentiated both in terms of their fundamental semiconductor process foundations and of their circuit (and filter, microlens and other supplement) implementations. Understanding their respective strengths and shortcomings is critical to making an appropriate product

Selecting and Designing with an Image Sensor: The Tradeoffs You’ll Need to Master Read More +

Recent Investments: eyeSight Raises $4.2 Million From CEVA, Mitsui

Speaking of financial transactions involving recently discussed companies staffed by Israeli founders, eyeSight Mobile Technologies (who I mentioned earlier this month as being the technology basis for Pantech's latest gesture interface-capable camera phones) just a few days ago received a notable Series B incremental investment from a fellow Israeli firm, CEVA, as well as from

Recent Investments: eyeSight Raises $4.2 Million From CEVA, Mitsui Read More +

VideoSurf

Recent Acquisitions: Microsoft Reportedly Buys VideoSurf

Remember about two months ago, when I admittedly somewhat critically discussed the VideoSurf camera phone application that enabled the identification of video content currently being displayed on a television or computer monitor? Apparently, Microsoft was more enthusiastic about the technology than I was, because a few days ago the company reportedly acquired VideoSurf for $70

Recent Acquisitions: Microsoft Reportedly Buys VideoSurf Read More +

Figure2

Automotive Driver Assistance Systems: Using the Processing Power of FPGAs

By Paul Zoratti Driver Assistance Senior System Architect Automotive Division Xilinx Corporation This is a reprint of a Xilinx-published white paper which is also available here (344 KB PDF). In the last five years, the automotive industry has made remarkable advances in driver assistance (DA) systems that truly enrich the driving experience and provide drivers

Automotive Driver Assistance Systems: Using the Processing Power of FPGAs Read More +

BDTI__video_tracking_crosswalk

Implementing Vision Capabilities in Embedded Systems

by Jeff Bier Founder and President, BDTI September 29, 2011 This paper was originally published at the 2011 Embedded Systems Conference Boston. Abstract—With the emergence of increasingly capable processors, it’s becoming practical to incorporate computer vision capabilities into a wide range of embedded systems, enabling them to analyze their environments via video inputs. Products like

Implementing Vision Capabilities in Embedded Systems Read More +

Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

Contact

Address

1646 N. California Blvd.,
Suite 360
Walnut Creek, CA 94596 USA

Phone
Phone: +1 (925) 954-1411
Scroll to Top