Search Results for: opencv

AIDM-29_FI

Introducing INT8 Quantization for Fast CPU Inference Using OpenVINO

Blog Posts, Intel /

This blog post was originally published at Intel's website. It is reprinted here with the permission of Intel. Deep learning framework optimizations and tools that streamline deployment are advancing the adoption of inference applications on Intel® platforms. Reducing model precision is an efficient way to accelerate inference on processors that support low precision math, with […]

Introducing INT8 Quantization for Fast CPU Inference Using OpenVINO Read More +

Cadence_Logo_Red_Reg_CMYK

ArcSoft and Cadence Partner to Develop AI and Vision Applications

Cadence, News /

Cadence Tensilica Vision P6 DSP improves performance for AI and vision applications SAN JOSE and FREMONT, Calif., July 12, 2018—Cadence Design Systems, Inc. (NASDAQ: CDNS) and ArcSoft, the global leader in imaging intelligence technology, today announced they have partnered to develop AI and vision applications for Cadence® Tensilica® Vision DSPs. ArcSoft has collaborated with Cadence

ArcSoft and Cadence Partner to Develop AI and Vision Applications Read More +

EVA180x100

“Tools and Processors for Computer Vision,” Selected Results from the Embedded Vision Alliance’s January 2019 Computer Vision Developer Survey

Algorithms, Downloads, Edge AI and Vision Alliance, Processors, Sensors and Cameras, Software, Tools /

Since 2015, the Embedded Vision Alliance has surveyed computer vision developers regarding the products they are working on and the hardware and software tools they are using in their projects. This white paper provides selected results from our most recent survey, conducted in November 2018. We received responses from 692… “Tools and Processors for Computer

“Tools and Processors for Computer Vision,” Selected Results from the Embedded Vision Alliance’s January 2019 Computer Vision Developer Survey Read More +

Figure5

Combining an ISP and Vision Processor to Implement Computer Vision

Algorithms, Articles, Imagination Technologies, Processors, Sensors and Cameras, Software, Synopsys, Technical Articles, Tools /

An ISP (image signal processor) in combination with one or several vision processors can collaboratively deliver more robust computer vision processing capabilities than vision processing is capable of providing standalone. However, an ISP operating in a computer vision-optimized configuration may differ from one functioning under the historical assumption that its outputs would be intended for

Combining an ISP and Vision Processor to Implement Computer Vision Read More +

Figure6

Multi-sensor Fusion for Robust Device Autonomy

Aerospace and Defense, Algorithms, Articles, Automotive, Edge AI and Vision Alliance, FRAMOS, Industrial Vision (Computer Vision), MathWorks, Processors, Robotics, Sensors and Cameras, Software, Synopsys, Technical Articles, Tools /

While visible light image sensors may be the baseline “one sensor to rule them all” included in all autonomous system designs, they’re not necessarily a sole panacea. By combining them with other sensor technologies: “Situational awareness” sensors; standard and high-resolution radar, LiDAR, infrared and UV, ultrasound and sonar, etc., and “Positional awareness” sensors such as

Multi-sensor Fusion for Robust Device Autonomy Read More +

EVA180x100

Embedded Vision Insights: December 18, 2018 Edition

Edge AI and Vision Alliance, Newsletters /

LETTER FROM THE EDITOR Dear Colleague, Are you an early-stage start-up company developing a new product or service incorporating or enabling computer vision or visual AI? Do you want to raise awareness of your company and its products with industry experts, investors and entrepreneurs? The 4th annual Vision Tank competition offers startup companies the opportunity

Embedded Vision Insights: December 18, 2018 Edition Read More +

EVA180x100

“Key Trends Driving the Proliferation of Visual Perception,” a Presentation from the Embedded Vision Alliance

Algorithms, Downloads, Edge AI and Vision Alliance, Processors, Sensors and Cameras, Software, Tools /

On December 4, 2018, Embedded Vision Alliance founder Jeff Bier delivered the presentation “The Four Key Trends Driving the Proliferation of Visual Perception” to the Bay Area Computer Vision and Deep Learning Meetup Group. From the event description: Recent updates in computer vision markets and technology Computer vision has gained… “Key Trends Driving the Proliferation

“Key Trends Driving the Proliferation of Visual Perception,” a Presentation from the Embedded Vision Alliance Read More +

Intel Demonstration of Deep Learning Inference Performance at the Edge with the OpenVINO Toolkit

Intel, Summit 2018, Videos /

Saumya Satish, from the Computer Vision team at Intel, delivers a product demonstration at the May 2018 Embedded Vision Summit. Specifically, Satish discusses how developers can build high performance computer vision applications and integrate deep learning inference with Intel’s OpenVINO™ (open visual inference and neural network optimization) toolkit. The toolkit helps streamline deep learning deployments

Intel Demonstration of Deep Learning Inference Performance at the Edge with the OpenVINO Toolkit Read More +

May 2018 Embedded Vision Summit Vision Entrepreneurs’ Panel

Algorithms, Edge AI and Vision Alliance, Processors, Sensors and Cameras, Software, Summit 2018, Tools, Videos /

Nik Gagvani, President of CheckVideo, moderates the Vision Entrepreneurs’ Panel at the May 2018 Embedded Vision Summit. Other panelists include László Kishonti, CEO of AImotive; Radha Basu, CEO of iMerit; and Gary Bradski, CTO and Co-founder of Arraiy.com, and CEO and Founder of OpenCV.org. What can we learn from leaders of successful vision-based start-ups? The

May 2018 Embedded Vision Summit Vision Entrepreneurs’ Panel Read More +

Computer Vision for Augmented Reality in Embedded Designs

Algorithms, Articles, Augmented Reality, Edge AI and Vision Alliance, NXP Semiconductors, Processors, Sensors and Cameras, Software, Synopsys, Technical Articles, Tools, videantis /

Augmented reality (AR) and related technologies and products are becoming increasingly popular and prevalent, led by their adoption in smartphones, tablets and other mobile computing and communications devices. While developers of more deeply embedded platforms are also motivated to incorporate AR capabilities in their products, the comparative scarcity of processing, memory, storage, and networking resources

Computer Vision for Augmented Reality in Embedded Designs 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