Abstract: A people detection system with feature space enhancement is provided. The system includes a memory having computer-readable instructions stored therein. The system includes a processor configured to access a plurality of video frames captured using one or more overhead video cameras installed in a space and to extract one or more raw images of the space from the plurality of video frames. The processor is further configured to process the one or more raw images to generate a plurality of positive image samples and a plurality of negative image samples. The positive image samples include images having one or more persons present within the space and the negative image samples comprise images without the persons.

Abstract: An overhead people detection and tracking system and method is provided. The system includes a memory having computer-readable instructions stored therein. The system includes a processor configured to access a plurality of video frames captured using one or more overhead video cameras installed in a space. The processor is configured to extract one or more images of the space from the plurality of video frames. Further, the processor is configured to process the one or more images to identify person detections in the space. Each detection corresponds to a person present in the space. In addition, the processor is configured to analyze the detections to define at least one of true positives and false positives associated with movement of one or more persons within the space. Furthermore, the processor is configured to maintain a count of the one or more persons entering and/or exiting the space based upon at least one of the true positives and the false positives.

Abstract: An overhead people detection and tracking system and method is provided. The system includes a memory having computer-readable instructions stored therein. The system includes a processor configured to access a plurality of video frames captured using one or more overhead video cameras installed in a space. The processor is configured to extract one or more images of the space from the plurality of video frames. Further, the processor is configured to process the one or more images to identify person detections in the space. Each detection corresponds to a person present in the space. In addition, the processor is configured to analyze the detections to define at least one of true positives and false positives associated with movement of one or more persons within the space. Furthermore, the processor is configured to maintain a count of the one or more persons entering and/or exiting the space based upon at least one of the true positives and the false positives.

Abstract: An instore customer tracking and engagement system for tracking customers in a retail store is provided. The system includes a memory having computer-readable instructions stored therein. The system further includes a processor configured to access customer identification data of one or more customers visiting a retail store. The processor is further configured to determine a unique customer identity signature (UCIS) of each of the one or more customers based upon the customer identification data of the respective customer. In addition, the processor is configured to track the activity of each of the customers within the retail store using the unique customer identity signature of the respective customer. Further, the processor is configured to generate an offline clickstream for each of the one or more customers using the unique customer identity signature as the respective customer moves across the retail store. The system includes a data analytics cloud platform communicatively coupled to processor.

Abstract: A multi-window time-aware personalized recommendation system and method is provided. The system includes a memory having computer-readable instructions stored therein. The system further includes a processor configured to access purchase history of one or more users and to select a pair of items purchased by the one or more users based on the purchase history. The processor is further configured to determine a contributory affinity value between a first item and a second item of the selected pair of items for each of the one or more users. The contributory affinity value is determined based on a first time-decay function and a second time-decay function associated with purchase times of the first and second items. In addition, the processor is configured to combine the contributory affinity values for each of the one or more users to estimate the affinity value between the first and second item across multiple time-windows.

Abstract: An ETL system for extracting transactional data from a plurality of source machines is provided. The ETL system includes a data query module configured to provide an interface to enable a data analyst to define an input query to extract transactional data, which is present on a plurality of source machines. The source machines form a multi-tenant system and each source machine is identified by a unique tenant identifier. The system also includes a query parsing module coupled to the data query module and configured to deconstruct the input query to create a tree structure. The tree structure comprises a plurality of distinct queries. The system further includes a data extraction module coupled to the query parsing module and configured to extract transactional data based on the distinct queries and copy the transactional data to a destination system wherein the transactional data comprises a plurality of data types.