fbpx

Ceva

“Rapid Development of Efficient Vision Applications Using the Halide Language and CEVA Processors,” a Presentation from CEVA and mPerpetuo

Algorithms, Ceva, Processors, Software, Summit 2018, Tools, Videos /

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

Algorithms, Ceva, Processors, Software, Tools, Videos /

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

Algorithms, Ceva, Processors, Software, Tools, Videos /

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

Algorithms, Ceva, Processors, Software, Tools, Videos /

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

Articles, Ceva, Technical Articles /

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

Articles, Ceva, Technical Articles /

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 +

Selective focus

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

Articles, Ceva, Technical Articles /

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

Algorithms, Ceva, Object Identification, Processors, Software, Tools, Videos /

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

Algorithms, Articles, Augmented Reality, Ceva, Edge AI and Vision Alliance, Face Recognition, Gesture Control, NXP Semiconductors, Object Identification, Optical Character Recognition, Processors, Sensors, Software, Technical Articles /

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

Algorithms, Ceva, Processors, Software, Videos /

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 +

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.

Pages

Topics

Contact

Address

1646 N. California Blvd.,
Suite 360
Walnut Creek, CA 94596 USA

Phone
Phone: +1 (925) 954-1411
Scroll to Top