Abstract: A method classifies air particulate data. Air sensor data is received from an air sensor. The air sensor data comprises a particulate vector. A machine learning model generates output from the air sensor data using a machine learning model. A notification that uses the machine learning model output is transmitted by a control system.

Abstract: A method detects body temperature. A first image, a second image, and a thermal image are received. The first image is calibrated with the second image using a calibration model to form a plurality of visible image layers. A distance layer is generated from the first image and the second image using a distance generation model. The thermal image is calibrated using the distance layer and a distance calibration model to form a thermal layer. A face location of a person in the first image is detected using a face detection model. A body temperature of the person at the face location is determined using the thermal layer. The body temperature is presented.

Abstract: A method detects and tracks weapons. A frame of a video is received from a camera. A weapon in the frame detected using a weapon detection model. The weapon from the frame is classified using a weapon match classifier. A weapon alert is generated in response to classifying the weapon. The video is presented in response to the weapon alert.

Abstract: A method detects body temperature. A first image, a second image, and a thermal image are received. The first image is calibrated with the second image using a calibration model to form a plurality of visible image layers. A distance layer is generated from the first image and the second image using a distance generation model. The thermal image is calibrated using the distance layer and a distance calibration model to form a thermal layer. A face location of a person in the first image is detected using a face detection model. A body temperature of the person at the face location is determined using the thermal layer. The body temperature is presented.