Providing a means for post event forensic searches using detailed analytic metadata on all objects being tracked.
VCAforensics is data aggregation and search tool that is constantly extracting metadata from every connected camera, every second, building up an extensive database of metadata about objects in the camera’s field of view. Our forensic search tool enables the search of all of this metadata to find a person, vehicle or object of interest. For example, search for all people wearing red tops and black trousers, carrying an orange bag between 10 am and 4 pm on this day and within seconds, the image will be returned.
Traditional video analytics systems are programmed to produce events when a set of criteria or defined rule is met, passing the event to the VMS/NVR which creates a bookmark or reacts in a predetermined manner. The issue with this configuration is that if that rule has not been created, then the event is never produced and users are not able to retroactively search for objects matching a set description.
VCAforensics has been designed to work seamlessly with our video analytics, by storing all the metadata and taking snapshot images from our analytics engine. Our application provides a user interface to allow post-event forensic searches without predefined rules, helping to reduce time-draining investigations by allowing users to search hours, days and weeks of video footage for objects of interest. Select the timeframe, select the cameras and select the object (for example person, car) and the application will reduce thousands of hours of video into images where only the object you want appears.