XVeillance Facial Recognition stands out as one of the most precise face recognition algorithms, earning a top-ranking position in the evaluation conducted by the National Institute of Standards and Technology (NIST) among 129 facial recognition vendors.
XVeillance's video stream search engine analyzes human faces, vehicles, and license plates in real-time or recorded footage. It aids in identifying individuals, tracking vehicle movements, and reading license plate numbers. This technology is invaluable for law enforcement, public safety, security, and loss prevention applications, providing crucial data for investigations, traffic monitoring, access control, and preventing theft or other losses.
Face Surveillance
Integrating facial recognition technology with large watchlist databases has brought about a new era of efficiency and accuracy in security and access control. Whether automatically updating databases through real-time video analysis or using manual enrollment with XVeillance technology, these systems show a commitment to staying ahead of technological advancements. Additionally, the ability to recognize individuals wearing face masks adds an extra layer of adaptability, addressing contemporary challenges and ensuring the continued effectiveness of facial identification in various domains.
License Verification
Detecting and reading license plates on both stationary and moving vehicles is a complex yet vital task with applications in traffic management, law enforcement, and parking systems. In traffic management, it facilitates the efficient tracking of vehicles, aiding in identifying traffic patterns and congestion points. In law enforcement, it plays a crucial role in identifying vehicles associated with criminal activities and tracking stolen or suspicious vehicles. Additionally, in parking management, it automates access control and payment processes, streamlining parking operations.
Vehicle Detection
XVeillance camera-based AI technology represents a cutting-edge advancement in surveillance systems, as it possesses the ability to effectively differentiate between people, vehicles, and other objects within its field of view. This sophisticated technology relies on advanced algorithms, often employing deep learning and computer vision techniques, to analyze visual data and make accurate identifications.