NEC desarrolla una nueva tecnología de videovigilancia basada en el reconocimiento facial y la identificación humana

NEC Corporation has devised a video processing technology that analyzes information about people's particularities, like facial features, vestimenta y conductas sospechosas, and is characterized by being three times more efficient than conventional technologies on the same server.

NEC Corporation has developed a video processing technology to be used on a large scale with video analytics, como por ejemplo, facial recognition and human identification and is characterized by being three times more efficient than conventional technologies on the same server.

This new technology was evaluated on video surveillance systems covering large areas and analyzing information about people's characteristics., including facials, de ropa y los comportamientos sospechosos. In these tests, NEC's new technology allowed the same server to analyze images from thirty surveillance cameras, three times more than a server can process with existing technologies. This is important as a company can use its existing servers to monitor approximately three times the area., using NEC advanced analytics technologies.

In recent years there has been global growth in the demand for video analytics of the content of surveillance cameras in areas including airports., train stations and city streets. Conventionally, to cover the advanced processing requirements of multi-camera video data analysis, companies had to have numerous servers. This hardware cost forced them to restrict spending for video analytics technologies to the most important areas., leaving other areas totally unattended.

Yasunori Mochizuki, vice president of NEC Media and Information Processing Laboratory, has pointed: “NEC technologies meet the demand for video processing by controlling the level of processing in response to the content of images captured by surveillance cameras. For example, Specialized controls can manage video stream efficiency by analyzing only images where people appear or reducing the frequency of analysis to low-priority areas.”

Key elements

The key feature of video surveillance technology developed by NEC includes:

1) Optimized processing through active image content analysis. NEC developed image processing control technologies that maintain accuracy and adjust video analysis based on its content.. Thus, Image processing frequency can be customized and focus on human characteristics. Video without people can be analyzed at a lower frequency. These technologies can be further streamlined by adjusting the frequency of analysis in accordance with factors, such as time of day and important locations. This maximizes the amount of processing per server and expands the total area that can be covered by advanced video analytics using existing servers..

2) Simplified processing in accordance with user preferences. Image processing control can be tailored to meet user preferences, how to minimize the amount of video that is analyzed and designate the most important areas for quick analysis.

These surveillance technologies mentioned feature facial recognition and human identification technologies from NEC, can be deployed worldwide to potentially improve coverage and security of monitored areas.

In addition to video surveillance, NEC will continue its Research and Development of Big Data Processing Technologies (Data Mining). Besides, The company participates locally and abroad in trials that help expand its technologies to consumers around the world.