“Challenges in Vision-based Adaptive Traffic Control Systems,” a Presentation from Sahaj Software Solutions

Venkatesh Wadawadagi, Solution Consultant at Sahaj Software Solutions, presents the “Challenges in Vision-based Adaptive Traffic Control Systems” tutorial at the May 2021 Embedded Vision Summit. Adaptive traffic control systems (ATCSs) adjust traffic signal timing based on demand. Wadawadagi begins by presenting the main building blocks of a vision-based ATCS, including pre-processing, vehicle detection, vehicle classification […]

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BrainChip Begins Taking Orders of Akida AI Processor Development Kits

October 20, 2021–ALISO VIEJO, Calif.–(BUSINESS WIRE)–BrainChip Holdings Ltd (ASX: BRN), (OTCQX: BRCHF), a leading provider of ultra-low power high performance artificial intelligence technology, today announced BrainChip will be taking orders of two development kits for its Akida™ advanced neural networking processor, enabling partners, large enterprises, and OEMs to begin internal testing and validation of Akida’s

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October 20, 2021 Edge AI and Vision Alliance Member Briefing Presentation

The PDF file linked to below is the presentation from the October 20, 2021 Edge AI and Vision Alliance Member Briefing. Please be aware that these materials are for Alliance Member company internal use only. October 20, 2021 Edge AI and Vision Alliance Member Briefing A recording of the Alliance… October 20, 2021 Edge AI

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“10 Things You Must Know Before Designing Your Own Camera,” a Presentation from Panopteo

Alex Fink, consultant at Panopteo, presents the “10 Things You Must Know Before Designing Your Own Camera” tutorial at the May 2021 Embedded Vision Summit. Computer vision requires vision. This is why companies that use computer vision often decide they need to create a custom camera module (and perhaps other custom sensors) that meets the

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Real-time Face Detection on Raspberry Pi

This blog post was originally published at Xailient’s website. It is reprinted here with the permission of Xailient. A step-by-step guide to implement real-time face detection on a Raspberry Pi running 24 frames per second. In this post, I will guide you through a step-by-step process of implementing real-time face detection on a Raspberry Pi, running

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Basler Integrates CMOS Sensors from Gpixel into ace 2 Portfolio

As one of the first computer vision providers, Basler is expanding its portfolio of digital industrial cameras to include models with CMOS sensors from the manufacturer Gpixel. The 16 new models in the Basler ace 2 camera family, in combination with the matching Basler Lenses, offer customers a good mix of performance and price for

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“Maintaining DNN Accuracy When the Real World is Changing,” a Presentation from Observa

Erik Chelstad, CTO and co-founder of Observa, presents the “Maintaining DNN Accuracy When the Real World is Changing” tutorial at the May 2021 Embedded Vision Summit. We commonly train deep neural networks (DNNs) on existing data and then use the trained model to make predictions on new data. Once trained, these predictive models approximate a

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Arm Transforms the Economics of IoT with Virtual Hardware and a New Solutions-led Offering

News Highlights: Arm Total Solutions for IoT delivers a full stack solution to significantly accelerate IoT product development and improve product ROI Arm Virtual Hardware removes the need to develop on physical silicon, enabling software and hardware co-design and accelerating product design by up to two years A new Arm ecosystem initiative called Project Centauri

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Use Case: Defect Detection in Metal Surfaces

This blog post was originally published at PerceptiLabs’ website. It is reprinted here with the permission of PerceptiLabs. With the rise of Industrial IoT (IIoT) and Industry 4.0, ML is playing an ever-increasing role in enabling automation. With this in mind, we built an ML model that can classify defects on metal materials using image

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Synaptics Announces AudioSmart Edge AI Headset Platform with Industry’s Best Power and Performance

Highly integrated architecture features hybrid ANC/ENC delivering premium audio quality while significantly reducing system cost, size, and complexity SAN JOSE, Calif., October 18, 2021 – Synaptics® Incorporated (Nasdaq: SYNA) today announced its newest AudioSmart® AS33970 headset platform SoC. It’s the world’s first highly integrated AI-enabled ENC (Environmental Noise Cancellation) and hybrid ANC (Active Noise Cancellation)

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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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