Sensors and Cameras

“Deploying an Autonomous Valet Parking Solution with Cameras Using AI,” a Presentation from Nextchip and VADAS

James Kim, Marketing Team Leader at Nextchip, and Peter Lee, CEO of VADAS, co-present the “Deploying an Autonomous Valet Parking Solution with Cameras Using AI” tutorial at the May 2021 Embedded Vision Summit. In this talk, Nextchip’s Kim explains why his company targeted autonomous valet parking (AVP) with its newest APACHE6 SoC, and how Nextchip […]

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“DepthAI: Embedded, Performant Spatial AI and Computer Vision,” a Presentation from Luxonis

Brandon Gilles, CEO of Luxonis, presents the “DepthAI: Embedded, Performant Spatial AI and Computer Vision” tutorial at the May 2021 Embedded Vision Summit. Performant spatial AI and CV enables human-like perception and real-time interaction with the world. But embedding performant spatial AI and CV into actual products is difficult, costly and time-consuming. DepthAI makes building

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The VCSEL Industry: Towards a Complete Metamorphosis?

This market research report was originally published at Yole Développement’s website. It is reprinted here with the permission of Yole Développement. The VCSEL market is seeing huge technology changes and new equilibrium for industrial suppliers. OUTLINE: Market forecasts : The global VCSEL market is expected to reach US$2.4 billion in 2026 at a 13.6% CAGR

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“SensPro2 Highly Scalable Sensor Hub DSP for Computer Vision, AI and Multi-sensor Fusion for Contextually Aware Devices,” a Presentation from CEVA

Gil Abraham, Director of Business Development in the Vision and AI Business Unit at CEVA, presents the “SensPro2 Highly Scalable Sensor Hub DSP for Computer Vision, AI and Multi-sensor Fusion for Contextually Aware Devices” tutorial at the May 2021 Embedded Vision Summit. Contextual awareness is the ability of a system to gather information about its

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A Closer Look at LiDAR and Stereovision

This blog post was originally published at Ambarella’s website. It is reprinted here with the permission of Ambarella. Both technologies are used for object detection in autonomous vehicles, but how do they compare? Autonomous vehicles typically deploy multiple sensor systems for environmental perception: LiDAR, radar, and camera modules being the most popular. These sensor systems

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FRAMOS Sensor Module Ecosystem Supporting GMSL2 for Flexible Cable Routing and Ease of Installation into Small Spaces

7/28/21 – FRAMOS offers camera data transfer over a single coax cable using the GMSL2 protocol on the Jetson AGX Xavier platform. Camera developers utilizing the FRAMOS Sensor Module Ecosystem can integrate the highly flexible GMSL2 technology with image sensors producing up to 8MP resolution at 30fps over cable length of 15m. Developers benefit from

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Shortcut to Series Production: Modular Maivin i.MX 8M Plus AI Vision Kit from AU-Zone, Toradex and Vision Components

July 28, 2021 – For proof of concept, rapid prototyping and small series production, AU-Zone and Toradex, working in close cooperation with Vision Components, have developed the modular Maivin i.MX 8M Plus AI Vision Kit. The developer kit is based on a Toradex Verdin i.MX 8M Plus System-on-Module and a carrier board, which AU-Zone designed

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“A Mask Detection Smart Camera Using the NVIDIA Jetson Nano: System Architecture and Developer Experience,” a Presentation from BDTI and Tryolabs

Evan Juras, Computer Vision Engineer at BDTI, and Braulio Ríos, Machine Learning Engineer at Tryolabs, co-present the “A Mask Detection Smart Camera Using the NVIDIA Jetson Nano: System Architecture and Developer Experience” tutorial at the May 2021 Embedded Vision Summit. MaskCam is a prototype reference design for a smart camera that counts the number of

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“Object Detection and Dataset Labeling Using Colors of Manufactured Objects,” a Presentation from BASF

Ian Childers, Head of Technology for Functional Coatings—Object Recognition at BASF, presents the “Object Detection and Dataset Labeling Using Colors of Manufactured Objects” tutorial at the May 2021 Embedded Vision Summit. This talk introduces a new method for object detection for consumer goods and other applications based on measuring an object’s illumination invariant fluorescent chroma.

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“Software-Defined Cameras for Edge Computing of the Future,” a Presentation from Arm

Parag Beeraka, Head of the Smart Camera and Vision Business at Arm, presents the “Software-Defined Cameras for Edge Computing of the Future,” tutorial at the May 2021 Embedded Vision Summit. Computer-vision-enabled cameras have demonstrated the potential to bring compelling functionality to numerous applications. But to realize the full potential and assist with the growth of

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