Computing device and method using a neural network to bypass calibration data of an infrared sensor

A method using a neural network to bypass calibration data of an infrared (IR) sensor, the method comprising:

• storing a predictive model generated by a neural network training engine in a memory of a computing device;
• determining by a processing unit of the computing device a two-dimensional (2D) matrix of raw sensor data, each raw sensor datum being representative of heat energy collected by the IR sensor;
• and
• executing by the processing unit of the computing device a neural network inference engine, the neural network inference engine implementing the neural network using the predictive model for generating outputs based on inputs, the inputs comprising the 2D matrix of raw sensor data, the outputs comprising a 2D matrix of inferred temperatures.

A method for training a neural network to bypass calibration data of an infrared (IR) sensor, the method comprising:

• (a) initializing by a processing unit of a computing device a predictive model of a neural network;
• (b) generating by the processing unit of the computing device training data, the training data comprising a plurality of two-dimensional (2D) matrices of raw sensor data representative of heat energy collected by a target IR sensor and a corresponding plurality of 2D matrices of temperature measurements generated by a reference IR sensor;
• (c) executing by the processing unit of the computing device a neural network training engine, the neural network training engine implementing the neural network using the predictive model for generating outputs based on inputs, the outputs comprising a 2D matrix of inferred temperatures, the inputs comprising a given 2D matrix of raw sensor data among the plurality of 2D matrices of raw sensor data;
• and
• (d) adjusting by the processing unit of the computing device the predictive model of the neural network to minimize a difference between the 2D matrix of inferred temperatures and a given 2D matrix of temperature measurements among the plurality of 2D matrices of temperature measurements, the given 2D matrix of temperature measurements corresponding to the given 2D matrix of raw sensor data.