Abstract: This invention identifies vehicles on arrival, and matches exiting vehicles to their corresponding entry event. 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. 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. Spatial diversity in cameras and/or illuminators enable hologram and 3D Printing detection and decoding.

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: A method and system for time series forecasting on a big data set are provided. The method includes receiving a plurality of time series, each of the time series representing a historical demand pattern for an item, performing a domain-based segmentation to identify a plurality of statistically forecastable time series from the plurality of time series, grouping the plurality of statistically forecastable time series into one or more clusters, for each cluster, generating an aggregate time series based on time series included in the cluster, performing a future demand forecast at a cluster level by performing time series forecasting of the aggregate time series for each cluster, and determining a future demand forecast for each item based on the time series forecasting of the aggregate time series.

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: 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.