NEC has been granted a patent for a device that detects disguising masks. The device uses a light source and a camera to capture images in multiple wavelengths, analyzing luminance in specific facial regions to determine if a person is wearing a silicone disguise. GlobalData’s report on NEC gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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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 July 2024 was 34%. Grant share is based on the ratio of number of grants to total number of patents.
Disguising mask detection using multi-wavelength imaging technology
The granted patent US12073647B2 describes a detecting device and method designed to identify whether a person is wearing a disguise, specifically one made of silicone. The device comprises at least one memory and processor, which work together to acquire four images of a person simultaneously: three in different infrared wavelength ranges (1161-1171 nm, 1185-1195 nm, and 1209-1219 nm) and one in visible light. The processor analyzes the visible light image to detect the face region, which includes the forehead, right cheek, and left cheek. It then assesses the luminance of these regions across the infrared images to determine if the specific relations indicative of a disguise are satisfied.
The method outlined in the patent further details the process of analyzing the luminance of the face regions. It specifies that the detection of a disguise is confirmed when the luminance in the infrared range of 1185-1195 nm is lower than that in the other two infrared ranges, or when the luminance in the range of 1209-1219 nm is higher than that in the range of 1161-1171 nm. Additionally, the patent includes a non-transitory program recording medium that enables a computer to execute the described processes, ensuring that the detection of disguises can be performed efficiently and accurately.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
