Patent ID: 11893080
Assignee: DISTECH CONTROLS INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 16:
17. A method for training a neural network to determine whether or not to process images of an image flow, 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 generation of the training data comprising:
generating a plurality of image flows, each image flow comprising a plurality of images; and
determining for each image of the plurality of image flows a target indication, the target indication indicating whether or not to process the image by an image processing module;

(c) executing by the processing unit of the computing device a neural network training engine implementing the neural network, the neural network using the predictive model for generating an inferred indication of whether or not to process a given image of a given image flow among the plurality of image flows based on one or more input, the one or more input comprising the given image of the given image flow; and
(d) adjusting by the processing unit of the computing device the predictive model of the neural network to minimize a difference between the inferred indication and the target indication determined for the given image of the given image flow;
wherein determining the target indication for the given image of the given image flow among the plurality of image flows comprises:
determining a number of persons present in the given image;
comparing the number of persons present in the given image with a previously determined number of persons present in a previous image of the given image flow; and
if the compared numbers of persons are different then setting the target indication to a value indicating to process the given image else setting the target indication to a value indicating not to process the given image.