Abstract: A motion-based object detection method includes the steps of extracting, by processing acquired first and second images, one or more regions of interest (ROIs); transforming the one or more ROIs into grayscale; and acquiring, by processing the grayscale ROIs with a deep neural network (DNN) model to classify the objects contained in the one or more ROIs, a classification result of whether the objects contained in the one or more ROIs belong to a given categories. The DNN model comprises N (N is a positive integer and ranged from 4-12) depthwise separable convolution layers. each depthwise separable convolution layer comprises a depthwise convolution layer for applying a single filter to each input channel and a pointwise layer for creating a linear combination of the outputs of the depthwise convolution layer to obtain feature maps of the grayscale ROIs.

Abstract: A video surveillance method includes the steps of detecting, by a motion detector, an object motion, in the field of view of a surveillance device when the surveillance device is in a standby mode; generating, responsive to a positive detection to switch the surveillance device from the standby mode to an operation mode, one or more images of the moving object; determining, by processing the one or more images with a deep neural network (DNN) model of an object detector, whether the objects contained in the one or more images belong to a given categories, wherein the DNN model comprises N (N is a positive integer and ranged from 4-12) depthwise separable convolution layers; and video recording, responsive to a positive determination, the moving object in the field of view of the surveillance device.

Abstract: A smart door lock system provides an unlock authority of an electronically-controlled door lock mounted on a door to a remote computing device, thereby allowing the owner to remotely unlock the electronically-controlled door lock via the computing device rather than being physically present to perform the security check of the electronically-controlled door lock to open the door. Moreover, automatic transmission of the image data of the moving object in the field of view of a camera system in response to determining that one or more criteria are satisfied, facilitates door surveillance to help ensure personal and property's premise.

Abstract: A video surveillance method includes the steps of detecting, by a motion detector, an object motion, in the field of view of a surveillance device when the surveillance device is in a standby mode; generating, responsive to a positive detection to switch the surveillance device from the standby mode to an operation mode, one or more images of the moving object; determining, by processing the one or more images with a deep neural network (DNN) model of an object detector, whether the objects contained in the one or more images belong to a given categories, wherein the DNN model comprises N (N is a positive integer and ranged from 4-12) depthwise separable convolution layers; and video recording, responsive to a positive determination, the moving object in the field of view of the surveillance device.

Abstract: A door surveillance system is adapted for implementing remote interaction between a visiting object and an owner of a property's premise and monitoring the area proximate to the door remotely. The door surveillance system comprises an interaction interface configured to receive an interaction request operation. Upon detecting an interaction request of the visiting object, at least a portion of the image data of the visiting object is outputted for transmission to the remote computing device along with the interaction request, thereby enabling the visiting object to interact with the owner of the property' premise. Automatic transmission of the image data of the visiting object facilitates door surveillance to help ensure personal and property's premise.