Panasonic develops a facial recognition tool that is integrated into IP video surveillance solutions
Its technology is implemented both in security cameras and in the WV-ASF900 server, allowing it to be recorded and analyzed who accesses a building or facility.. Besides, The software incorporates functionalities for counting people and detecting by gender and age.
The WV-ASF900 server Panasonic allows you to run facial recognition functionality in an IP security system. By implementing the technology in both the cameras and the server, it is possible to have information about who is accessing the facilities. Besides, also serves as a tool for marketing analysis with capabilities for people counting and age and gender identification.
Facial recognition information collected by video surveillance cameras is stored in a database that can be searched for a particular face..
With this functionality, You can set an alarm to activate when the cameras detect a certain face or follow the movements of a particular person in chronological order through all the cameras.
One of the main advantages of the facial recognition solution is the level of control it gives you from a central management point.
Thanks to the direct connection between the camera and the server, can monitor and collect images of up to 20 remote cameras from a server at the same time. Facial recognition is performed in real time and the operator can easily access the recorded images related to the face through the graphical user interface integrated into the monitoring software.
The WV-ASF900 server is ideal for use in installations where a high level of security is required or where exact information on the people accessing the building is required.. Information can be received from several cameras and different sites at the same time, in real time.
The software also has analysis functions with which it is possible to perform statistics such as counting people, and detect age and gender. The system displays relevant information in an accessible way, visualizing the result in graphs. Statistical data can be saved as a CSV file for later analysis.
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