Abstract: An apparatus includes a camera and a processor circuit. The camera may be configured to capture color images in response to visible light and monochrome infrared images in response to infrared light. The processor circuit may be configured to extract color features from the color images and add color to corresponding monochrome features detected in the monochrome infrared images.

Abstract: An apparatus includes a camera and a processor circuit. The camera may be configured to capture color images in response to visible light and monochrome infrared images in response to infrared light. The processor circuit may be configured to extract color features from the color images and add color to corresponding monochrome features detected in the monochrome infrared images.

Abstract: An apparatus including an interface and a processor. The interface may be configured to receive pixel data generated by a capture device and a temperature measurement generated by a thermal sensor. The processor may be configured to receive the pixel data and the temperature measurement from the interface, generate video frames in response to the pixel data, perform computer vision operations on the video frames to detect objects, perform a classification of the objects detected based on characteristics of the objects, detect a temperature anomaly in response to the temperature measurement and the classification, and generate a control signal in response to the temperature anomaly. The control signal may provide a warning based on the temperature anomaly. The classification may provide a normal temperature range for the objects detected.

Abstract: Image content classification methods, systems and computer programs repeatedly scan an image having an array of image pixels, with at least one random neural network. Each scan corresponds to one of multiple texture patterns. A corresponding texture pattern is compared to each of multiple image portions for each of the multiple scans. A value is assigned to each image portion, corresponding to the texture pattern having the highest coincidence. An array of pixels corresponding to the assigned values for the image portions may then be displayed. Highly accurate results may be obtained, at high speed, without the need for lengthy expert analysis.