“Face recognition and video surveillance system” is a smart solution in the field of security and surveillance of different environments. Using deep learning technology and real-time facial recognition, this product provides unique facilities for maintaining security and access control
The initial version is ready for commercialization
🟢 Urban security and surveillance in public spaces
🟢 Access control for buildings and sensitive areas
🟢 Surveillance in commercial, administrative, and industrial centers
🟢 Traffic management and attendance tracking in organizations
🟢 Access control for key rooms
🟢 Traffic control in public transportation stations
🟢 Monitoring employee behavior, including movement paths and their last location
🟢 High-speed and real-time facial recognition with exceptional accuracy
🟢 Customization capabilities for biometric use and general surveillance
🟢 Ability to detect the liveliness of individuals in images and ensure they are not fake
🟢 Effective performance in handling large numbers of people
🟢 Stable and reliable long-term operation
🟢 Ability to recognize faces under varying lighting conditions
🟢 Ability to identify faces from different angles and directions
🟢 Customizable zones for each camera to capture images of individuals within that zone
🟢 Ability to recognize faces even when part of the face is obscured
🟢 Capability to detect suspicious individuals based on the percentage of their face that is hidden
🟢 Utilization of deep learning technology for accurate identity verification and recognition
🟢 Integrated version with a license plate recognition system, capable of registering individuals along with their vehicle license plates
🟢 System upgradability to improve performance and add new features
🟢 Ability to interact with and connect to other security systems to enhance overall security
🟢 Support for high-resolution cameras and multiple cameras simultaneously
🟢 Compatibility with installed cameras to prevent unnecessary costs
🟢 Image data storage with quick search and retrieval capabilities
🟢 Use of encryption for data protection, adhering to recognized security standards
🟢 Ability to run the software locally with a suitable user interface accessible via a web browser
Our team is proudly committed to innovation in the field of computer vision, continuously advancing technologies related to this domain. We believe that advanced deep learning technologies can be instrumental in solving more complex and diverse problems in imaging and image analysis