Abstract: Systems and methods are disclosed for automated HOV violation detection. In one implementation, a presence of a vehicle is detected within a traffic lane. Based on the detection of the vehicle, one or more second images and one or more third images are captured. The images are processed using a neural network. Based on the processing using the neural network, a number of occupants within the vehicle is determined. Operations are initiated based on the determination.

Abstract: Systems and methods for cloud-based device management. In one implementation, a processing device receives one or more images captured in relation to a device, processes the one or more images to determine a presence of one or more identifiers within the one or more images, based on a determination that an identifier is present within the one or more images, processes the identifier in relation to an information repository to determine a permission status with respect to the identifier; identifies an instruction protocol associated with the device, generates an instruction corresponding to the permission status and the instruction protocol, and provides the instruction to the device.

Abstract: Systems and methods are disclosed for dynamic image capture and processing. In one implementation, a processing device receives a first video stream, the first video stream being captured via an optical sensor configured with a first set of capture parameters. The processing device processes the first video stream with a first set of processing parameters. The processing device receives a second video stream, the second video stream being captured via the optical sensor configured with a second set of capture parameters. The processing device processes the second video stream with a second set of processing parameters. The processing device provides an output based on at least one of (a) the first video stream, as processed, or (b) the second video stream, as processed.