Abstract: This invention identifies vehicles on arrival, and matches exiting vehicles to their corresponding entry event. The matching process uses primarily optical inputs. The system uses at least one camera to capture not only the vehicle license plate but also the visual features. A “signature” formed out of the optical features of the vehicle is compared against the pre-generated signatures of vehicles in a whitelist, and the best match is identified. The “signature” for each exiting vehicle is compared against all signatures of vehicles that entered the garage. A plurality of filters reduce the possible matching candidates based on factors like license plate based edit distance, location information of vehicle owner. Synchronizing a database in each local processing unit (LPU) with a central database enables signature from images from sites that have good license plate reads, to assist in authentication in other sites where the reads are lower quality.

Abstract: An edge device for image processing includes a series of linked components which can be independently optimized. A specialized change detector which optimizes the events collected at the expense of false positives is accompanied by a trainable module, which uses training feedback to reduce the false positives over time. A “look ahead module” peeks ahead in time and determines whether an inference pipeline needs to run. This allocates a definite amount of time for the validation and training module. The training module is operated in terms of a quantum of time. Processing time during phases of no scene activity is reserved to carry out training. A lightweight detector and the classifier are trainable modules. A site optimizer is made up of rules and sub-modules using spatio-temporal heuristics to handle specific false positives while optimally combining the change detector and inference module results.

Abstract: A system and method for identification and authentication of vehicles using imaging to develop a vehicle signature based off of both license plate recognition and identification of distinct features of the vehicle. The system may cross-reference the vehicle signature against databases of known vehicle signatures to authenticate the vehicle and to determine whether or not the vehicle is on a whitelist.

Abstract: Method and system for auto-focusing. The method includes checking for presence of a subject in a first frame. The method also includes determining a second frame indicative of an in-focus position of the subject if the presence of the subject is detected. The method further includes causing to focus on the subject based on the second frame. Further, the method includes checking for a change in at least one of location of the subject in the second frame, and sharpness and luminance in an area corresponding to the subject in the second frame. Moreover, the method includes causing to refocus on the subject if the change is detected.

Abstract: Method and system for auto-focusing. The method includes checking for presence of a subject in a first frame. The method also includes determining a second frame indicative of an in-focus position of the subject if the presence of the subject is detected. The method further includes causing to focus on the subject based on the second frame. Further, the method includes checking for a change in at least one of location of the subject in the second frame, and sharpness and luminance in an area corresponding to the subject in the second frame. Moreover, the method includes causing to refocus on the subject if the change is detected.