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Аппаратно-программный комплекс для распознавания номеров транспортных средств

 

автоматизированная система, транспортный поток, камеры видеонаблюдения, технологический комплекс, идентификация номерных знаков, уличный перекресток, транспортное движение, технические средства, дорожное движение, интеллектуальная система, кросс-платформенное решение, обработка изображений, транспортная безопасность, цифровая технология, городская инфраструктура, компьютерное зрение, управление трафиком, уличное оборудование, инновационные решения, городской перекресток, датчики движения, городская автоматизация, алгоритмы распознавания, транспортная инфраструктура, аналитика данных, система видеонаблюдения, технологическое оборудование, городское планирование, интеллектуальный транспорт

 

automated system, traffic flow, surveillance cameras, technological complex, license plate recognition, street intersection, traffic movement, technical equipment, road traffic, intelligent system, cross-platform solution, image processing, transportation security, digital technology, urban infrastructure, computer vision, traffic management, street equipment, innovative solutions, urban intersection, motion sensors, urban automation, recognition algorithms, transportation infrastructure, data analytics, surveillance system, technological equipment, urban planning, intelligent transportation

The O'Reilly AI Conference is where cutting-edge science meets new business implementation. It's a deep dive into emerging AI techniques and technologies with a focus on how to use it in real-world implementations.

clockwise from top-left:

greyscale image from Sony SSC-M183 with homemade infrared filter, thresholded image, cumulative path overlay of tracked blobs (yellow: blobOn, red: blobMoved), dart (blue)vs. blob tracking (dk. red), blob tracking with order id and contours.

 

built on top of code by Stefan Hechenberger (http://stefanix.net)

Ellen Perry, Donna Marino

The O'Reilly AI Conference is where cutting-edge science meets new business implementation. It's a deep dive into emerging AI techniques and technologies with a focus on how to use it in real-world implementations.

top chopped off for diffusion

keith ozar holding a calibration chessboard at makerbot!

Red TV is a video analysis project.

A collaboration with Brad Todd.

Built with openFrameworks.

Revolutionize your emotion detection algorithms with our extensive face expression dataset:-

Visit:

www.gts.ai

clockwise from top-left:

greyscale image from Sony SSC-M183 with homemade infrared filter, thresholded image, cumulative path overlay of tracked blobs (yellow: blobOn, red: blobMoved), dart (blue)vs. blob tracking (dk. red), blob tracking with order id and contours.

 

built on top of code by Stefan Hechenberger (http://stefanix.net)

Pixel descriptor is better (left side) However maybe there are minor errors since the result of Gradient descriptor is supposed to good as one of Pixel descriptor.

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