Automotive markets have added pressure on semiconductor/systems design through demand for ISO26262 compliance – this we all know. But they have also changed the mix of important design types. Once class of design that has become very significant in ADAS, and ultimately autonomous applications, is image signal processing (ISP).… Read More
For vision DSP IP running convolutional neural networks (CNNs), a big driver of performance is increasing the bits processed per cycle with parallel MACs. Tom Simon did a great job in recent posts of introducing CNNs at a high level, so I’ll look at what is architecturally behind Cadence’s latest announcement: the Tensilica Vision… Read More
Google’s Project Tango is a prime example of a sophisticated application pushing the boundaries of what is possible within the power envelope of a mobile device. Its objective is to combine 3D motion tracking with depth sensing to understand how a device is moving and gauge its surroundings precisely.… Read More
Most of the discussion around Xilinx UltraScale parts in FPGA-based prototyping modules has been on capacity, and that is certainly a key part of the story. Another use case is developing, one that may be even more important than simply packing a bigger design into a single part without partitioning. The real win with this technology… Read More
Cameras are becoming ubiquitous thanks to a new wave of applications that span GoPro for sports, smart glass for the Internet eyewear, ADAS for car safety, and more. However, while these cameras boast an increasing amount of megapixels to enhance the quality of vision, what they increasingly need is more processing power to analyze… Read More
Stanley Kubrick’s 2001: A Space Odyssey showed us a world where machine vision allowed a computer to watch and interact with its human colleagues. Yet after 40 years of incredible progress in semiconductor design, the technology to make computer-based image and video analysis a reality is still not practical.
While working with… Read More
