Intelligent Video Surveillance System for Bank

The integration of intelligent video surveillance systems has become imperative for enhancing security protocols in various sectors, including banking institutions. In our project, we present a novel approach to intelligent video surveillance tailored for bank environments. Our system employs facial recognition technology to identify individuals entering the bank premises, subsequently cross-referencing their facial data with an authorized customer database. Upon detection, the system swiftly determines the authorization status of the individual. Authorized customers are granted seamless access, while unauthorized individuals are permitted limited entry. Furthermore, our system incorporates a threshold mechanism to monitor the frequency of unauthorized entries. Should the threshold be exceeded, an alert is triggered to prompt necessary intervention. By integrating these functionalities, our intelligent video surveillance system offers enhanced security measures and operational efficiency within bank premises. This research project focuses on the implementation of intelligent video surveillance systems in bank environments. Our system utilizes facial recognition technology to identify individuals entering the bank premises and cross-references their facial data with an authorized customer database. Authorized customers are granted unrestricted access, while unauthorized individuals are allowed limited entry. A threshold mechanism monitors unauthorized entries, triggering alerts upon exceeding predefined limits. This approach enhances security measures and operational efficiency within banking institutions.