Cadence

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Cadence enables global electronic design innovation and plays an essential role in the creation of today’s integrated circuits and electronics. Customers use Cadence software, hardware, IP, and services to design and verify advanced semiconductors, consumer electronics, networking and telecommunications equipment, and computer systems. Cadence’s Tensilica dataplane processors (DPUs) sit alongside the central applications processor, performing highly specialized imaging and video pre- and post-processing tasks.

Each DPU can be tailored to the exact application for the most efficient power, area and performance. The Tensilica IVP Image/Video Processor handles complex algorithms including innovative multi-frame image capture and video pre- and post-processing, video stabilization, HDR image and video processing, object and face recognition and tracking, low-light image enhancement, digital zoom and gesture recognition.

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“Fundamentals of Monocular SLAM,” a Presentation from Cadence

Shrinivas Gadkari, Design Engineering Director at Cadence, presents the "Fundamentals of Monocular SLAM" tutorial at the May 2019 Embedded Vision Summit. Simultaneous Localization and Mapping (SLAM) refers to a class of algorithms that enables a device with one or more cameras and/or other sensors to create an accurate map of its surroundings, to determine the …

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“Portable Performance via the OpenVX Computer Vision Library: Case Studies,” a Presentation from Cadence

Frank Brill, Design Engineering Director at Cadence, presents the "Portable Performance via the OpenVX Computer Vision Library: Case Studies" tutorial at the May 2019 Embedded Vision Summit. OpenVX is a state-of-the-art open API standard for accelerating applications using computer vision and machine learning. The API and its conformance tests enable applications to leverage highly specialized …

“Portable Performance via the OpenVX Computer Vision Library: Case Studies,” a Presentation from Cadence Read More +

“Highly Efficient, Scalable Vision and AI Processors IP for the Edge,” a Presentation from Cadence

Pulin Desai, Vision Product Marketing Director at Cadence, presents the "Highly Efficient, Scalable Vision and AI Processors IP for the Edge" tutorial at the May 2019 Embedded Vision Summit. This presentation describes the architecture of the latest Tensilica-based vision and AI processor family, and illustrates how easily vision algorithms (e.g., SLAM, 3D capture) and AI …

“Highly Efficient, Scalable Vision and AI Processors IP for the Edge,” a Presentation from Cadence Read More +

“Neural Network Compiler: Enabling Rapid Deployment of DNNs on Low-Cost, Low-Power Processors,” a Presentation from Cadence

Megha Daga, Senior Technical Marketing Manager at Cadence, presents the "Neural Network Compiler: Enabling Rapid Deployment of DNNs on Low-Cost, Low-Power Processors" tutorial at the May 2018 Embedded Vision Summit. The use of deep neural networks (DNNs) has accelerated in recent years, with DNNs making their way into diverse commercial products. But DNNs consume vast …

“Neural Network Compiler: Enabling Rapid Deployment of DNNs on Low-Cost, Low-Power Processors,” a Presentation from Cadence Read More +

“The Perspective Transform in Embedded Vision,” a Presentation from Cadence

Shrinivas Gadkari, Design Engineering Director, and Aditya Joshi, Lead Design Engineer, both of Cadence, present the "Perspective Transform in Embedded Vision" tutorial at the May 2018 Embedded Vision Summit. This presentation focuses on the perspective transform and its role in many state-of-the-art embedded vision applications like video stabilization, high dynamic range (HDR) imaging and super …

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OpenVX Implementations Deliver Robust Computer Vision Applications

Key to the widespread adoption of embedded vision is the ease of developing software that runs efficiently on a diversity of hardware platforms, with high performance, low power consumption and cost-effective system resource needs. In the past, this combination of objectives has been a tall order, since it has historically required significant code optimization for …

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OpenVX Enhancements, Optimization Opportunities Expand Vision Software Development Capabilities

Key to the widespread adoption of embedded vision is the ease of developing software that runs efficiently on a diversity of hardware platforms, with high performance, low power consumption and cost-effective system resource needs. In the past, this combination of objectives has been a tall order, since it has historically required significant code optimization for …

OpenVX Enhancements, Optimization Opportunities Expand Vision Software Development Capabilities Read More +

“Techniques to Reduce Power Consumption in Embedded DNN Implementations,” a Presentation from Cadence

Samer Hijazi, Deep Learning Engineering Group Director at Cadence, presents the "Techniques to Reduce Power Consumption in Embedded DNN Implementations" tutorial at the May 2017 Embedded Vision Summit. Deep learning is becoming the most widely used technique for computer vision and pattern recognition. This rapid adoption is primarily driven by the outstanding effectiveness deep learning …

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“Scalable Neural Network Processors for Embedded Applications,” a Presentation from Cadence

Pulin Desai, Director of Product Marketing at Cadence, presents the "Scalable Neural Network Processors for Embedded Applications" tutorial at the May 2017 Embedded Vision Summit. This presentation describes the architecture of the latest Tensilica-based neural network processor IP and illustrates how easily different neural networks can be run using it. See how this low-power architecture …

“Scalable Neural Network Processors for Embedded Applications,” a Presentation from Cadence Read More +

“The OpenVX Computer Vision Library Standard for Portable, Efficient Code,” a Presentation from Cadence

Frank Brill, Design Engineering Director at Cadence and Chairperson of the Khronos Group's OpenVX Working Group, presents the "OpenVX Computer Vision Library Standard for Portable, Efficient Code" tutorial at the May 2017 Embedded Vision Summit. OpenVX is an industry-standard computer vision API designed for efficient implementation on a variety of embedded platforms. The API incorporates …

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Deep Learning for Object Recognition: DSP and Specialized Processor Optimizations

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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“The Road Ahead for Neural Networks: Five Likely Surprises,” a Presentation from Cadence

Dr. Chris Rowen, Chief Technology Officer of the IP Group at Cadence, presents the "Road Ahead for Neural Networks: Five Likely Surprises" tutorial at the May 2016 Embedded Vision Summit. Cognitive computing is finally getting real! It has passed through the phases of obscurity and curiosity and is surviving the current phase of breathless hype. …

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OpenVX Enables Portable, Efficient Vision Software

OpenVX, a maturing API from the Khronos Group, enables embedded vision application software developers to efficiently harness the various processing resources available in SoCs and systems. Vision technology is now enabling a wide range of products, that are more intelligent and responsive than before, and thus more valuable to users. Such image perception, understanding, and …

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Using Convolutional Neural Networks for Image Recognition

This article was originally published at Cadence's website. It is reprinted here with the permission of Cadence. Convolutional neural networks (CNNs) are widely used in pattern- and image-recognition problems as they have a number of advantages compared to other techniques. This white paper covers the basics of CNNs including a description of the various layers …

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“Designing and Selecting Instruction Sets for Vision,” a Presentation From Cadence

Chris Rowen, Fellow at Cadence, presents the "Designing and Selecting Instruction Sets for Vision" tutorial at the May 2015 Embedded Vision Summit. Two critical technical trends have reached important inflection points: the massive compute demands of vision processing and the capabilities of specialized vision processors. But what how do you actually select (or even build) …

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May 2014 Embedded Vision Summit Technical Presentation: “Taming the Beast: Performance and Energy Optimization Across Embedded Feature Detection and Tracking,” Chris Rowen, Cadence

Chris Rowen, Fellow at Cadence, presents the "Taming the Beast: Performance and Energy Optimization Across Embedded Feature Detection and Tracking" tutorial at the May 2014 Embedded Vision Summit. This presentation looks at a cross-section of advanced feature detectors, and considers the algorithm, bit precision, arithmetic primitives and implementation optimizations that yield high pixel processing rates, …

May 2014 Embedded Vision Summit Technical Presentation: “Taming the Beast: Performance and Energy Optimization Across Embedded Feature Detection and Tracking,” Chris Rowen, Cadence Read More +

April 2013 Embedded Vision Summit Technical Presentation: “Porting Applications to High-Performance Imaging DSPs,” Chris Rowen, Cadence

Chris Rowen, Fellow at Cadence and Founder of Tensilica, presents the "Porting Applications to High-Performance Imaging DSPs" tutorial within the "Developing Vision Software, Accelerators and Systems" technical session at the April 2013 Embedded Vision Summit. Rowen discusses the challenges of porting and tuning applications to a high-performance imaging DSP.  An imaging-specific DSP can make a …

April 2013 Embedded Vision Summit Technical Presentation: “Porting Applications to High-Performance Imaging DSPs,” Chris Rowen, Cadence Read More +

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May 18 - 21, Santa Clara, California

The preeminent event for practical, deployable computer vision and visual AI, for product creators who want to bring visual intelligence to products.

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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