The Chamberlain Group, Inc.

Nathan J Kopp

Jordan Ari Farber

James Joseph Fitzgibbon

Casparus Cate

In one aspect of the present disclosure, an object monitoring system for a secured area is provided. The object monitoring system includes an image sensor operable to capture an image of the secured area and a memory configured to store a machine learning algorithm trained to identify a vehicle in the secured area, the machine learning algorithm including feature maps of training images captured by the image sensor. The object monitoring system further includes a processor operably coupled to the image sensor and the memory, the processor configured to calculate a feature descriptor of the image and to utilize the machine learning algorithm and the image of the secured area to determine whether a vehicle is present in the secured area by determining a correlation between the feature descriptor of the image and the feature maps of the training images.

Object monitoring system and methods

A movable barrier operator system is provided that includes a moving-barrier imminent motion notification apparatus, a motor, a controller, and communication circuitry configured to communicate with a remote control. In response to the communication circuitry receiving a communication from the remote control, the controller causes the motor to change the state of the movable barrier and additionally operate the moving-barrier imminent motion notification apparatus upon a determination of the remote control being beyond a physical proximity of a location associated with the movable barrier operator system. Upon a determination that the remote control is within the physical proximity, the controller refrains from operation of the moving-barrier imminent motion notification apparatus.

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Fremont, CA, United States of America

Nathan J Kopp