CEVA

www.ceva-dsp.com

CEVA is a public licensor of signal processing platforms and AI processors for a smarter, connected world. We partner with semiconductor companies and OEMs to create power-efficient, intelligent and connected devices for a range of end markets, including mobile, consumer, automotive, industrial and IoT. Our ultra-low-power computer vision and AI IP processors enable on-device processing for cost-effective embedded devices. Our complimentary software tools and libraries enable effective development of computer vision and neural network algorithms, minimizing time-to-market and ensuring a quick turn-around from research to mass production.

Recent Posts by Company

SiFive and CEVA Partner to Bring Machine Learning Processors to Mainstream Markets

Joint silicon development through SiFive's DesignShare Program combines IP and design strengths of both companies to develop Edge AI SoCs for a range of high-volume end markets including smart home, automotive, robotics, security, augmented reality, industrial and IoT SAN MATEO and MOUNTAIN VIEW, Calif., Jan. 7, 2020 /PRNewswire/ — SiFive, Inc., the leading provider of commercial …

SiFive and CEVA Partner to Bring Machine Learning Processors to Mainstream Markets Read More +

“Deploying Visual SLAM in Low-power Devices,” a Presentation from CEVA

Ben Weiss, Customer Solutions Engineer in the CSG Group at CEVA, presents the "Deploying Visual SLAM in Low-power Devices" tutorial at the May 2019 Embedded Vision Summit. Simultaneous localization and mapping (SLAM) technology has been evolving for quite some time, including visual SLAM, which relies primarily on image data. But implementing fast, accurate visual SLAM …

“Deploying Visual SLAM in Low-power Devices,” a Presentation from CEVA Read More +

“Developing Vision Applications Using the Halide Language and CEVA Processors,” a Presentation from CEVA and mPerpetuo

Yair Siegel, Director of Business Development at CEVA, and Gary Gitelson, VP of Engineering at mPerpetuo, presents the "Rapid Development of Efficient Vision Applications Using the Halide Language and CEVA Processors" tutorial at the May 2018 Embedded Vision Summit. Halide is a domain-specific programming language for imaging and vision applications that has been adopted by …

“Developing Vision Applications Using the Halide Language and CEVA Processors,” a Presentation from CEVA and mPerpetuo Read More +

“Fast Inference in Low Power Systems via CEVA’s Deep Neural Network Solution,” a Presentation from CEVA

Yair Siegel, Director of Strategic Marketing at CEVA, presents the "Fast Inference in Low Power Systems via CEVA’s Deep Neural Network Solution" tutorial at the May 2017 Embedded Vision Summit. The emergence of state-of-the-art, real-time object detection solely based on convolutional neural networks has created new and complex challenges for embedded systems. Algorithms such as …

“Fast Inference in Low Power Systems via CEVA’s Deep Neural Network Solution,” a Presentation from CEVA Read More +

“Video Stabilization Using Computer Vision: Techniques for Embedded Devices,” a Presentation from CEVA

Ben Weiss, Computer Vision Developer at CEVA, presents the "Video Stabilization Using Computer Vision: Techniques for Embedded Devices" tutorial at the May 2016 Embedded Vision Summit. Today, video streams are increasingly captured by small, moving devices, including action cams, smartphones and drones. These devices enable users to capture video conveniently in a wide range of …

“Video Stabilization Using Computer Vision: Techniques for Embedded Devices,” a Presentation from CEVA Read More +

“Fast Deployment of Low-power Deep Learning on CEVA Vision Processors,” a Presentation from CEVA

Yair Siegel, Director of Segment Marketing at CEVA, presents the "Fast Deployment of Low-power Deep Learning on CEVA Vision Processors" tutorial at the May 2016 Embedded Vision Summit. Image recognition capabilities enabled by deep learning are benefitting more and more applications, including automotive safety, surveillance and drones. This is driving a shift towards running neural …

“Fast Deployment of Low-power Deep Learning on CEVA Vision Processors,” a Presentation from CEVA Read More +

“The Evolution of Object Recognition in Embedded Systems,” a Presentation from CEVA

Moshe Shahar, Director of System Architecture at CEVA, presents the "Evolution of Object Recognition in Embedded Systems" tutorial at the May 2015 Embedded Vision Summit. Camera-enabled devices have made great strides in performance and quality in recent years, but they still fall far short of human visual perception. To reach their potential, vision-enabled systems must …

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Vision in Wearable Devices: Enhanced and Expanded Application and Function Choices

A version of this article was originally published at EE Times' Embedded.com Design Line. It is reprinted here with the permission of EE Times. 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 …

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May 2014 Embedded Vision Summit Technical Presentation: “Challenges in Object Detection on Embedded Devices,” Adar Paz, CEVA

Adar Paz, Imaging and Computer Vision Team Leader at CEVA, presents the "Challenges in Object Detection on Embedded Devices" tutorial at the May 2014 Embedded Vision Summit. As more products ship with integrated cameras, there is an increased potential for computer vision (CV) to enable innovation. For instance, CV can tackle the "scene understanding" problem …

May 2014 Embedded Vision Summit Technical Presentation: “Challenges in Object Detection on Embedded Devices,” Adar Paz, CEVA Read More +

October 2013 Embedded Vision Summit Technical Presentation: “Efficient Super-Resolution Algorithms and Implementation Techniques for Constrained Applications,” Ilan Yona, CEVA

Ilan Yona, Director of Imaging and Computer Vision at CEVA, presents the "Efficient Super-Resolution Algorithms and Implementation Techniques for Constrained Applications" tutorial within the "Front-End Image Processing for Vision Applications" technical session at the October 2013 Embedded Vision Summit East. Image quality is a critical challenge in many applications, including smart phones, especially when using …

October 2013 Embedded Vision Summit Technical Presentation: “Efficient Super-Resolution Algorithms and Implementation Techniques for Constrained Applications,” Ilan Yona, CEVA Read More +

April 2013 Embedded Vision Summit Technical Presentation: “Using Advanced Algorithms to Bring Vision Capabilities to Power-Constrained Devices,” Adar Paz, CEVA

Adar Paz, Imaging and Computer Vision Team Leader at CEVA, presents the "Using Advanced Algorithms to Bring Vision Capabilities to Power-Constrained Devices" tutorial within the "Using Vision Algorithms" technical session at the April 2013 Embedded Vision Summit. This presentation explores how image enhancement algorithms can close the gap between professional camera systems and mobile phone …

April 2013 Embedded Vision Summit Technical Presentation: “Using Advanced Algorithms to Bring Vision Capabilities to Power-Constrained Devices,” Adar Paz, CEVA Read More +

The Gesture Interface: A Compelling Competitive Advantage in the Technology Race

By Brian Dipert Senior Analyst, BDTI Editor-in-Chief, Embedded Vision Alliance Yair Siegel Director of Marketing, Multimedia, CEVA Simon Morris Chief Executive Officer, CogniVue Liat Rostock Marketing Director, eyeSight Mobile Technologies Gershom Kutliroff Chief Technical Officer, Omek Interactive This article was originally published at EE Times' Communications Design Line. It is reprinted here with the permission …

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CEVAFaceDetection

Design Guidelines for Embedded Real-Time Face Detection Applications

By Eldad Melamed Project Manager, Video Algorithms CEVA To read this article as a pdf file, click here. Much like the human visual system, embedded computer vision systems perform the same visual functions of analyzing and extracting information from video in a wide variety of products. In embedded portable devices such as Smartphones, digital cameras, and …

Design Guidelines for Embedded Real-Time Face Detection Applications 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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1646 North California Blvd.,
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Walnut Creek, CA 94596 USA

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