Sensors and Cameras

Lattice FPGAs Power Real-Time Radar Adapter Cards

This blog post was originally published at Lattice Semiconductor’s website. It is reprinted here with the permission of Lattice Semiconductor. If you were to ask them (and I have), you would discover that many people think of radar in the context of things like airplanes and ships and the evening weather forecast on TV. As […]

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CES 2021 – The More than Moore Pivot from Intel Mobileye

This market research report was originally published at Yole Développement’s website. It is reprinted here with the permission of Yole Développement. Yole Développement (Yole) has been monitoring the trajectories of Advanced Driver Assist (ADAS) and Autonomous Vehicle (AV) players for many years and has recently published Sensing and computing for ADAS 2020 and Sensors for

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“Imaging Systems for Applied Reinforcement Learning Control,” a Presentation from Nanotronics

Damas Limoge, Senior R&D Engineer at Nanotronics, presents the “Imaging Systems for Applied Reinforcement Learning Control” tutorial at the September 2020 Embedded Vision Summit. Reinforcement learning has generated human-level decision-making strategies in highly complex game scenarios. But most industries, such as manufacturing, have not seen impressive results from the application of these algorithms, belying the

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Optical Sensor Market is Projected to Reach USD 30 Billion by 2026

According to a recent study from market research firm Global Market Insights, Optical sensor market are broadly utilized in consumer electronic devices for the detection of events, changes, or input signals and pass the information to other components. Increasing adoption of optical sensor for biometric recognition, high-speed detection, device authentication, and other security application in

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“Safer and More Efficient Intersections with Computer Vision,” a Presentation from Cubic | GRIDSMART

Jeff Price, Vice President and General Manager at Cubic | GRIDSMART, presents the “Safer and More Efficient Intersections with Computer Vision” tutorial at the September 2020 Embedded Vision Summit. GRIDSMART is an edge computer vision system that uses omnidirectional imaging to detect and track objects through intersections to optimize traffic signal timing in response to

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“CMOS Image Sensors: A Guide to Building the Eyes of a Vision System,” a Presentation from GoPro

Jon Stern, Director of Optical Systems at GoPro, presents the “CMOS Image Sensors: A Guide to Building the Eyes of a Vision System” tutorial at the September 2020 Embedded Vision Summit. Improvements in CMOS image sensors have been instrumental in lowering barriers for embedding vision into a broad range of systems. For example, a high

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“Deep Learning on Mobile Devices,” a Presentation from Siddha Ganju

Independent AI architect Siddha Ganju  presents the “Deep Learning on Mobile Devices” tutorial at the September 2020 Embedded Vision Summit. Over the last few years, convolutional neural networks (CNNs) have grown enormously in popularity, especially for computer vision. Many applications running on smartphones and wearable devices could benefit from the capabilities of CNNs. However, CNN’s

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Basler boost: CXP Cameras with 20, 32, and 45 MP Resolution

Customers will benefit from six new camera models in the Basler boost series with excellent image quality thanks to sensors from ON Semiconductor’s XGS series. The cameras are suitable for applications requiring high resolution and high precision with a large field of view. Ahrensburg, January 12, 2021 – Basler AG is expanding its boost camera

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CEVA Extends its Leadership in High Performance Scalable Sensor Hub DSPs with 2nd Generation SensPro Family

SensPro2™ delivers up to 6X DSP performance improvement in computer vision, 2X AI inferencing improvement and 20% lower power compared to 1st generation SensPro, at the same process node New, low power, entry-level SensPro2 DSPs deliver up to 10X performance improvement versus CEVA-BX2 DSP for AI networks used for voice assistants, natural language processing and

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“Deep Learning for Manufacturing Inspection: Case Studies,” a Presentation from FLIR Systems

Stephen Se, Senior Research Manager at FLIR Systems, presents the “Deep Learning for Manufacturing Inspection: Case Studies” tutorial at the September 2020 Embedded Vision Summit. Deep learning has revolutionized artificial intelligence and has been shown to provide the best solutions to many problems in computer vision, image classification, speech recognition and natural language processing. See

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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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