NEC’s patent involves an information processing apparatus that recognizes and labels crowds in images, providing structure information like object location and direction. The apparatus acquires training data, including images, labels, and structure information, to train the recognizer for accurate crowd analysis in new images. GlobalData’s report on NEC gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on NEC, Battery management systems was a key innovation area identified from patents. NEC's grant share as of May 2024 was 30%. Grant share is based on the ratio of number of grants to total number of patents.

Crowd recognition system using image structure information

Source: United States Patent and Trademark Office (USPTO). Credit: NEC Corp

A recently granted patent (Publication Number: US12014563B2) discloses an information processing apparatus designed to analyze images of crowds. The apparatus includes a processor and memory storing instructions for acquiring training data containing images, labels describing the type of crowd, and structure information detailing the crowd's layout. The model is trained using this data to recognize the type of crowd and its structure based on the location and direction of objects within the image. When a new image is input, the model can accurately output the crowd type and structure information, aiding in crowd management and analysis.

Furthermore, the patent details a control method and a non-transitory storage medium storing a program for executing the method. The method involves acquiring training data with images, crowd type labels, and structure information, training a model to recognize crowd types and structures based on object location and direction, and outputting this information when a new image is processed. The crowd types recognized include queue, enclosure, panic, discrete, confluence, gathering, congestion, stay, avoidance, reverse movement, and traversal structures. This innovative technology can have applications in various fields requiring crowd analysis, such as security, event management, and urban planning, enhancing decision-making processes based on accurate crowd behavior assessments.

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