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 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 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: The present invention provides a system, apparatus and method for performing a multiple condition investment transaction by: (a) receiving a transaction request for an investment containing two or more non-time-based conditions, each non-time-based condition having an action to be performed whenever the non-time-based condition is satisfied, (b) obtaining market information for the investment, (c) determining whether any of the two or more non-time-based conditions are satisfied based on the market information, (d) repeating steps (b) through (e) whenever none of the two or more non-time-based conditions are satisfied, and (e) performing the action associated with each non-time-based condition that is satisfied whenever any of the non-time-based conditions are satisfied.

Abstract: The present invention provides a system, apparatus and method for performing a buy/sell side trailing stop transaction by: (a) receiving a transaction request for an investment containing a target price, a stop price and a trail amount for an investment, (b) obtaining an ask/bid/last price for the investment, (c) determining whether the ask/bid/last price is less/greater than or equal to the target price, (d) whenever the ask/bid/last price is less/greater than or equal to the target price, setting the stop price equal to the ask/bid/last price plus/minus the trail amount and repeating steps (b)-(e), and (e) whenever the ask/bid/last price is greater/less than the target price, determining whether the ask/bid/last price is greater/less than or equal to the stop price, repeating steps (b)-(e) whenever the ask/bid/last price is less/greater than the stop price, submitting a buy/sell order whenever the ask/bid/last price is greater/less than or equal to the stop price.