Synopsys

“Moving CNNs from Academic Theory to Embedded Reality,” a Presentation from Synopsys

Algorithms, Automotive, Processors, Software, Synopsys, Tools, Videos /

Tom Michiels, System Architect for Embedded Vision Processors at Synopsys, presents the "Moving CNNs from Academic Theory to Embedded Reality" tutorial at the May 2017 Embedded Vision Summit. In this presentation, you will learn to recognize and avoid the pitfalls of moving from an academic CNN/deep learning graph to a commercial embedded vision design. You […]

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Facial Analysis Delivers Diverse Vision Processing Capabilities

Algorithms, Articles, Automotive, Edge AI and Vision Alliance, Entertainment, Face Detection, Face Recognition, Medical, NXP Semiconductors, Processors, Retail, Security, Sensors and Cameras, Software, Synopsys, Technical Articles, Tools, Xperi /

Computers can learn a lot about a person from their face – even if they don’t uniquely identify that person. Assessments of age range, gender, ethnicity, gaze direction, attention span, emotional state and other attributes are all now possible at real-time speeds, via advanced algorithms running on cost-effective hardware. This article provides an overview of

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“Using the OpenCL C Kernel Language for Embedded Vision Processors,” a Presentation from Synopsys

Algorithms, Processors, Software, Synopsys, Tools, Videos /

Seema Mirchandaney, Engineering Manager for Software Tools at Synopsys, presents the "Using the OpenCL C Kernel Language for Embedded Vision Processors" tutorial at the May 2016 Embedded Vision Summit. OpenCL C is a programming language that is used to write computation kernels. It is based on C99 and extended to support features such as multiple

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Deep Learning for Object Recognition: DSP and Specialized Processor Optimizations

Algorithms, Articles, BDTI, Cadence, Edge AI and Vision Alliance, Intel, Processors, Software, Synopsys, Technical Articles, Tools /

Neural networks enable the identification of objects in still and video images with impressive speed and accuracy after an initial training phase. This so-called "deep learning" has been enabled by the combination of the evolution of traditional neural network techniques, with one latest-incarnation example known as a CNN (convolutional neural network), by the steadily increasing

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“Programming Embedded Vision Processors Using OpenVX,” a Presentation from Synopsys

Algorithms, Processors, Software, Synopsys, Tools, Videos /

Pierre Paulin, Senior R&D Director for Embedded Vision at Synopsys, presents the "Programming Embedded Vision Processors Using OpenVX" tutorial at the May 2016 Embedded Vision Summit. OpenVX, a new Khronos standard for embedded computer vision processing, defines a higher level of abstraction for algorithm specification, with the goal of enabling platform and tool innovation in

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May 2015 Embedded Vision Summit Technical Presentation: “Low-power Embedded Vision: A Face Tracker Case Study,” Pierre Paulin, Synopsys

Algorithms, Face Detection, Processors, Software, Synopsys, Tools, Videos /

Pierre Paulin, R&D Director for Embedded Vision at Synopsys, presents the "Low-power Embedded Vision: A Face Tracker Case Study" tutorial at the May 2015 Embedded Vision Summit. The ability to reliably detect and track individual objects or people has numerous applications, for example in the video-surveillance and home entertainment fields. While this has proven to

May 2015 Embedded Vision Summit Technical Presentation: “Low-power Embedded Vision: A Face Tracker Case Study,” Pierre Paulin, Synopsys Read More +

“Tailoring Convolutional Neural Networks for Low-Cost, Low-Power Implementation,” a Presentation From Synopsys

Algorithms, Processors, Software, Synopsys, Videos /

Bruno Lavigueur, Project Leader for Embedded Vision at Synopsys, presents the "Tailoring Convolutional Neural Networks for Low-Cost, Low-Power Implementation" tutorial at the May 2015 Embedded Vision Summit. Deep learning-based object detection using convolutional neural networks (CNN) has recently emerged as one of the leading approaches for achieving state-of-the-art detection accuracy for a wide range of

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May 2014 Embedded Vision Summit Technical Presentation: “Combining Flexibility and Low-Power in Embedded Vision Subsystems: An Application to Pedestrian Detection,” Bruno Lavigueur, Synopsys

Algorithms, Processors, Software, Synopsys, Tools, Videos /

Bruno Lavigueur, Embedded Vision Subsystem Project Leader at Synopsys, presents the "Combining Flexibility and Low-Power in Embedded Vision Subsystems: An Application to Pedestrian Detection" tutorial at the May 2014 Embedded Vision Summit. Lavigueur presents an embedded-mapping and refinement case study of a pedestrian detection application. Starting from a high-level functional description in OpenCV, he decomposes

May 2014 Embedded Vision Summit Technical Presentation: “Combining Flexibility and Low-Power in Embedded Vision Subsystems: An Application to Pedestrian Detection,” Bruno Lavigueur, Synopsys Read More +

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Improved Vision Processors, Sensors Enable Proliferation of New and Enhanced ADAS Functions

Algorithms, Articles, Automotive, Edge AI and Vision Alliance, Face Detection, Face Recognition, Gesture Control, NXP Semiconductors, Object Identification, Object Tracking, Optical Character Recognition, Processors, Sensors and Cameras, Software, Synopsys, Technical Articles /

This article was originally published at John Day's Automotive Electronics News. It is reprinted here with the permission of JHDay Communications. Thanks to the emergence of increasingly capable and cost-effective processors, image sensors, memories and other semiconductor devices, along with robust algorithms, it's now practical to incorporate computer vision into a wide range of embedded

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October 2013 Embedded Vision Summit Technical Presentation: “Designing a Multi-Core Architecture Tailored for Pedestrian Detection Algorithms,” Tom Michiels, Synopsys

Aerospace and Defense, Algorithms, Automotive, Face Detection, Object Identification, Object Tracking, Processors, Retail, Security, Software, Synopsys, Videos /

Tom Michiels, R&D Manager at Synopsys, presents the "Designing a Multi-Core Architecture Tailored for Pedestrian Detection Algorithms" tutorial within the "Algorithms and Implementations" technical session at the October 2013 Embedded Vision Summit East. Pedestrian detection is an important function in a wide range of applications, including automotive safety systems, mobile applications, and industrial automation. A

October 2013 Embedded Vision Summit Technical Presentation: “Designing a Multi-Core Architecture Tailored for Pedestrian Detection Algorithms,” Tom Michiels, Synopsys 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.

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