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Synopsys

“Making Cars That See — Failure is Not an Option,” a Presentation from Synopsys

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Burkhard Huhnke, Vice President of Automotive Strategy for Synopsys, presents the "Making Cars That See—Failure is Not an Option" tutorial at the May 2019 Embedded Vision Summit. Drivers are the biggest source of uncertainty in the operation of cars. Computer vision is helping to eliminate human error and make the roads safer. But 14 years […]

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2019 Vision Product of the Year Award Winner Showcase: Synopsys (Processors)

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Synopsys' EV6x Embedded Vision Processor with Safety Enhancement Package (SEP) Family is the 2019 Vision Product of the Year Award Winner in the Processors category. Automotive SoC designers must meet stringent requirements for safety and reliability as defined in the ISO 26262 standard to achieve Automotive Safety Integrity Level (ASIL) targets. Furthermore, the IP —

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Synopsys’ ARC EV6x Vision Processor IP Named Best Processor of the Year by the Embedded Vision Alliance

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ASIL D Ready Vision Processor with Safety Enhancement Delivers Highest Level of Functional Safety for Automotive SoCs MOUNTAIN VIEW, Calif., May 21, 2019 /PRNewswire/ — Synopsys, Inc. (Nasdaq: SNPS) today announced that its DesignWare® ARC® EV6x Vision Processor IP with Safety Enhancement Package (SEP) was named "Best Processor" by the Embedded Vision Alliance as part

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Combining an ISP and Vision Processor to Implement Computer Vision

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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, 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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Synopsys Demonstration of Inuitive’s NU4000 Artificial Intelligence SoC Based On the DesignWare EV6x

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Inuitive delivers a product demonstration at Synopsys' suite at the 2019 CES (Consumer Electronics Show). Specifically, the company demonstrates its  NU4000 SoC for 3D imaging and vision, which uses Synopsys’ DesignWare EV6x Embedded Vision Processor IP with a CNN Engine. The EV6x can execute on-chip deep learning tasks for artificial intelligence and vision such as

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PathPartner Technology and Synopsys Demonstration of Facial Recognition and Verification

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Gordon Cooper, product marketing manager at Synopsys, and Praveen G.B., technical lead for DSP at PathPartner Technology, deliver a product demonstration at the May 2018 Embedded Vision Summit. Specifically, Cooper and Praveen demonstrate PathPartner’s facial recognition/verification model, which accounts for changes in illumination, clothes, occlusion, and expression variations. The model can be run on the

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Inuitive and Synopsys Demonstration of AI Applications with NU4000 SoC

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Gordon Cooper, product marketing manager at Synopsys, and Michael Degtyar, field application engineer at Inuitive, deliver a product demonstration at the May 2018 Embedded Vision Summit. Specifically, Cooper and Degtyar demonstrate how Inuitive is using Synopsys¹ EV6x Embedded Vision Processor with CNN Engine in Inuitive’s NU4000 multi-core SoC that supports artificial intelligence, 3D imaging, and

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Synopsys Demonstration of Deep Learning Inference and Sparse Optical Flow

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Gordon Cooper, product marketing manager at Synopsys, delivers a product demonstration at the May 2018 Embedded Vision Summit. Specifically, Cooper demonstrates combining deep learning with traditional computer vision by using the DesignWare EV6x Embedded Vision Processor¹s vector DSP and CNN engine. The tightly integrated CNN engine executes deep learning inference (using TinyYOLO, but any graph

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Synopsys Demonstration of Android Neural Network Acceleration with EV6x

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Gordon Cooper, product marketing manager, and Mischa Jonker, software engineer, both of Synopsys, deliver a product demonstration at the May 2018 Embedded Vision Summit. Specifically, Cooper and Jonker demonstrate how the DesignWare EV6x Embedded Vision Processor with deep learning can offload application processor tasks to increase performance and reduce power consumption, using an Android Neural

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