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NEC video surveillance tech enables three times more coverage


NEC Corp said Tuesday it has developed and tested large scale video processing technologies that can process advanced video analysis such as facial recognition and human identification three times more efficiently than conventional technologies on a single server.


These technologies were tested on video surveillance systems covering large areas, which analyze information on peoples’ characteristics, including facial features, clothing features and suspicious behaviors. In the tests, NEC said its new technologies enabled a single server to completely analyze images from thirty surveillance cameras, three times more cameras than a single server can process with existing technologies. As a result, a company can utilize its existing servers to monitor approximately three times more area by adopting NEC’s advanced image analysis technologies.


In recent years, there is growing demand worldwide for automatic video analysis of surveillance camera content from areas that include airports, train stations and city streets. Conventionally, in order to meet the advanced processing requirements of analyzing video data from multiple cameras, companies needed to maintain numerous servers. This costly demand for hardware could force companies to restrain expenses by limiting their automatic video analysis to only the most important areas, thereby leaving large areas underserved by surveillance.


“NEC’s technologies meet video processing demand by controlling the level of processing in response to the content of images captured by surveillance cameras,” said Yasunori Mochizuki, Vice President, Information and Media Processing Laboratories, NEC. “For example, specialized controls can streamline processing efficiency by only analyzing images where people appear or by reducing the frequency of analysis for areas with a low level of priority.”

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