Abstract: A method of classifying a task includes obtaining a plurality of images via an image capturing device and an audio signal via an audio sensor for a predetermined period of time. The method further includes classifying, via a first trained machine learning model, the plurality of images to generate a list of first class probabilities and a list of first class labels. The method further includes classifying, via a second trained machine learning model, the audio signal to generate a list of second class probabilities and a list of second class labels. The method further includes determining, via a merging algorithm, a list of third class probabilities and a list of third class labels based on the lists of first and second class probabilities. The method further includes determining the task corresponding to the predetermined period of time based on the list of third class probabilities.

Abstract: Aspects of the present disclosure relate to a method of identifying a vehicle, and a system thereof. The method can include receiving a first image of a vehicle from a first camera and classifying the vehicle in the first image with a vehicle class label. The method can also include determining a first vehicle fingerprint for the vehicle. The method can also include detecting any changes in the first vehicle fingerprint and the vehicle class label after a first time period. The detected changes in the first vehicle fingerprint can correspond to a disassembly state of the vehicle. The method can also include performing, if the vehicle class label is unchanged, at least one action in response to detected changes in the first vehicle fingerprint.

Abstract: In one aspect, a method of classifying a plurality of objects includes receiving, from a sensor mat, a pressure indication and a capacitance indication, corresponding to the plurality of objects placed on the sensor mat. The method includes determining an object location for each object from the plurality of objects from the pressure and/or capacitance indication. The method includes determining an object profile which includes an object pressure profile and an object capacitance profile for each object. The method includes determining, by one or more processors, the identity of a first object based on a correlation of the determined object profile matching with a first stored object profile from a plurality of first stored object profiles in a data store. The method includes performing at least one action based on the determined identity of the first object.