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A vision chip with complementary pathways for open-world sensing

Image sensors face substantial challenges when dealing with dynamic, diverse and unpredictable scenes in open-world applications. However, the development of image sensors towards high speed, high resolution, large dynamic range and high precision is limited by power and bandwidth. Here we present a complementary sensing paradigm inspired by the human visual system that involves parsing visual information into primitive-based representations and assembling these primitives to form two complementary vision pathways: a cognition-oriented pathway for accurate cognition and an action-oriented pathway for rapid response. To realize this paradigm, a vision chip called Tianmouc is developed, incorporating a hybrid pixel array and a parallel-and-heterogeneous readout architecture. Leveraging the characteristics of the complementary vision pathway, Tianmouc achieves high-speed sensing of up to 10,000 fps, a dynamic range of 130 dB and an advanced figure of merit in terms of spatial ....

Optik Photonik , International Conference On Computer Visionand Pattern Recognition , International Conference Proc , International Image Sensor Workshop , International Solid , International Conference On Computer Vision , Electron Devices , High Performance Silicon Imaging , Integrated Imaging , Vision Techniques , Industrial Inspection , Signal Processing , Digital Still Cameras , Computer Visionand Pattern Recognition , Computer Vision , Pattern Recognition , Vehicles Symposium , Def Con , Dataset Shift , Machine Learning , Mit Press , Stereoscopic Vision , Solid State Circuits Conference , Integrated Circuits Conference , State Circuits , Solid State Circuits ,

Concordia researcher uses AI to identify counterfeit coins

A researcher at Montreal s Concordia University and her team have developed an innovative technique for accurately identifying counterfeit coins using artificial intelligence (AI).

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Maryam Sharifi Rad , Saeed Khazaee , Sharifi Rad , Concordia University Centre For , Montreal Concordia University , Concordia University , Pattern Recognition , Artificial Intelligence , Royal Canadian Mint ,

Coohom Cloud Showcases Cutting-Edge 2D and 3D Interior Dataset Products at ICRA 2024: A Glimpse into the Future of Synthetic Data Solutions

Coohom Cloud Showcases Cutting-Edge 2D and 3D Interior Dataset Products at ICRA 2024: A Glimpse into the Future of Synthetic Data Solutions
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United States , Isaac Sim , Electronics Engineers , Institute Of Electrical , Coohom Cloud , Artificial Intelligence , Computer Vision , Pattern Recognition ,

Smart home AI system can sense people through walls

Smart home AI system can sense people through walls
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Salt Lake City , United States , Antonio Torralba , Dina Katabi , Tianhong Li , Mohammad Abu Alsheikh , Mingmin Zhao , Artificial Intelligence Laboratory , Computer Science , Professor Dina Katabi , Yonglong Tian , Computer Vision , Pattern Recognition ,