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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 […]

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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

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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

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“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

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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

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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

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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

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OpenVX Implementations Deliver Robust Computer Vision Applications

Algorithms, Articles, Cadence, Edge AI and Vision Alliance, Intel, NXP Semiconductors, Processors, Software, Technical Articles, Tools, VeriSilicon /

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

Algorithms, Articles, Cadence, Edge AI and Vision Alliance, Intel, NXP Semiconductors, Processors, Software, Technical Articles, Tools, VeriSilicon /

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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Embedded Vision Insights: July 24, 2018 Edition

Edge AI and Vision Alliance, Newsletters /

APIS, FRAMEWORKS, AND OTHER SOFTWARE TOOLS APIs for Accelerating Vision and Inferencing: Options and Trade-offs The landscape of SDKs, APIs and file formats for accelerating inferencing and vision applications continues to evolve rapidly. Low-level compute APIs, such as OpenCL, Vulkan and CUDA are being used to accelerate inferencing engines such as OpenVX, CoreML, NNAPI and

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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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