Four Visual Recognition Applications and Testing Solutions

Allion Labs / Kali Chen

In recent years, image detection technology has been extensively researched and developed by academic institutions to bring the quality of smart cameras to the next level. Smart cameras have become the must-have smart gadgets for home with multifaceted advantages, such as motion detection for home surveillance system. The intelligent video analysis system in smart cameras uses computer vision, machine learning and deep learning technologies to automatically interpret the key information behind images in the same way that human vision does. This visual recognition technology has been widely employed to face recognition, human motion capture, automatic license plate recognition (ALPR), and optical character recognition (OCR). In addition, smart cameras will be connected to the cloud-based platform which has implemented visual recognition technologies. It enables data to be stored cyclically in the cloud, which allows camera vendors to cut cost in host or storage equipment investment.

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