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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 Content by Company

CEVA Announces Industry’s First High Performance Sensor Hub DSP Architecture

SensPro™ family serves as hub for processing and fusing of data from multiple sensors including camera, Radar, LiDAR, Time-of-Flight, microphones and inertial measurement units Highly-configurable and self-contained architecture brings together scalar and parallel processing for floating point and integer data types, as well as deep learning training and inferencing MOUNTAIN VIEW, Calif., – April 7, …

CEVA Announces Industry’s First High Performance Sensor Hub DSP Architecture Read More +

CEVA Announces DSP and Voice Neural Networks Integration with TensorFlow Lite for Microcontrollers

WhisPro™ speech recognition software for voice wake words and custom command models now available with open source TensorFlow Lite for Microcontrollers implementing machine learning at the edge TensorFlow Lite for Microcontrollers from Google is already optimized and available for CEVA-BX DSP cores, accelerating the use of low power AI in conversational and contextual awareness applications …

CEVA Announces DSP and Voice Neural Networks Integration with TensorFlow Lite for Microcontrollers Read More +

Ultra-Wide is Ultra-Hot, and a Lot of Work

Wide angle cameras are hot in smartphones, cars, VR and surveillance, for convenience, cost or safety. Turning wide-angle, high-res input into pleasing and usable high-resolution output in real-time depends on a holistic solution with special optics, dedicated hardware and customized software. Recent-release phones have three cameras, for the iPhone 11 a wide-angle lens, a telephoto …

Ultra-Wide is Ultra-Hot, and a Lot of Work Read More +

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 +

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Image Processing and Computer Vision in One Package: A Logical Next Step

Computer vision on the edge is a good start but it isn’t enough. It needs to deal with distorted images from wide-angle lenses, image stabilization, low-light conditions and other imaging functions we already see in more advanced applications. And it has to continue to do so at low cost and low power. Consumers and businesses …

Image Processing and Computer Vision in One Package: A Logical Next Step Read More +

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CEVA Introduces New AI Inference Processor Architecture for Edge Devices with Co-processing Support for Custom Neural Network Engines

NeuPro-S, second-generation AI processor for deep neural network workloads offers 50% higher performance, vastly improved power and memory bandwidth efficiencies, scalable from 2 to 100 TOPS, designed to meet the most stringent automotive safety compliance standards New CDNN-Invite™ API enables custom neural network engines to benefit from breadth of network support and optimizations offered by …

CEVA Introduces New AI Inference Processor Architecture for Edge Devices with Co-processing Support for Custom Neural Network Engines Read More +

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CEVA and Immervision Enter into Strategic Partnership for Advanced Image Enhancement Technologies

Partnership includes $10 million technology investment from CEVA, securing exclusive licensing rights to Immervision's patented image processing and sensor fusion software portfolio for wide-angle cameras, which are broadly used in surveillance, smartphone, automotive, robotics and consumer applications MOUNTAIN VIEW, Calif. and MONTREAL, Aug. 6, 2019 /PRNewswire/ — CEVA, Inc. (NASDAQ: CEVA), the leading licensor of …

CEVA and Immervision Enter into Strategic Partnership for Advanced Image Enhancement Technologies 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 +

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CEVA Announces Availability of SLAM Software Development Kit for CEVA-XM Intelligent Vision DSPs and NeuPro AI Processors

CEVA-SLAM SDK streamlines SLAM integration in low-power embedded systems targeting mobile, AR/VR, and autonomous mobility in robotics, vehicles and drones MOUNTAIN VIEW, Calif., – May 20, 2019 – CEVA, Inc. (NASDAQ: CEVA), the leading licensor of signal processing platforms and artificial intelligence processors for smarter, connected devices, announced the availability of its CEVA-SLAM™ software development …

CEVA Announces Availability of SLAM Software Development Kit for CEVA-XM Intelligent Vision DSPs and NeuPro AI Processors Read More +

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CEVA Computer Vision, Deep Learning and Long Range Communication Technologies Power DJI Drones

MOUNTAIN VIEW, Calif., – 12 March, 2019 – CEVA, Inc. (NASDAQ: CEVA), the leading licensor of signal processing platforms and artificial intelligence processors for smarter, connected devices, today announced that the latest generation of Mavic 2 camera drones from DJI, the world's leader in civilian drones and aerial imaging technology, deploy CEVA DSPs and platforms to enable …

CEVA Computer Vision, Deep Learning and Long Range Communication Technologies Power DJI Drones Read More +

“Rapid Development of Efficient 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 …

“Rapid Development of Efficient 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 +

Video Stabilization Using Computer Vision: Tips and Insights From CEVA’s Experts

This article was originally published at CEVA's website. It is reprinted here with the permission of CEVA. Demand is on the rise for video cameras on moving platforms. Smartphones, wearable devices, cars, and drones are all increasingly employing video cameras with higher resolution and higher frames rates. In all of these cases, the captured video …

Video Stabilization Using Computer Vision: Tips and Insights From CEVA’s Experts Read More +

Digital Video Stabilization: Smooth Footage Without Expensive Mechanics

From drones to handheld devices, the rising demand for video cameras has made them ubiquitous, constantly driving down size and cost while pushing up resolution and overall quality. One of the main challenges in this field is stabilizing the image to generate clear, smooth footage. In this post, I would like to discuss the challenges …

Digital Video Stabilization: Smooth Footage Without Expensive Mechanics Read More +

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How Computer Vision is Re-shaping the Four Key Growth Segments of 2016

Computer vision and computational photography are intrinsic aspects of the Internet of Things (IoT), where cameras and sensors reign supreme. This article provides an overview of how computer vision technology is transforming the most critical markets in 2016: mobile, automotive, security and surveillance, and drones. Mobile The digital cameras in smartphones are one of their …

How Computer Vision is Re-shaping the Four Key Growth Segments of 2016 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 …

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

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 …

Vision in Wearable Devices: Enhanced and Expanded Application and Function Choices Read More +

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 …

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

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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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