Facial Recognition System
Facial Recognition systems at Sunartek have emerged as the fastest, most reliable, and most scalable system. Our Face Recognition System is based on technologies driven by artificial intelligence and neural networks.
Our Facial Recognition System are mainly designed for defense and investigation agencies.
Features of Facial Recognition System
High Key Performance Indicator Scores
Unique Visitor Count Accuracy – 98%
Age Recognition Accuracy – 95%
Probability of detecting a person in a video stream – 98%
Search time in a database of 500 million images – 0.3sec
- Finding the target from a database with millions of images in less than a second.
- Tracking the behavior of people.
- High level of security due to face recognition and access control system.
• Reduces crime in State, City or Organizations and improves public safety
• Spot the details of targets and prevent any atrocities
• Search for missing people
• Ensures safety for critical areas such as Airports, Railway stations, Malls or any other infrastructure or Transportation. Also, Person identification and flight registration without presenting documents.
• Security for crowded events and public venues.
• Immediate identification of person including in mobile Application alerts.
• Prevention of shoplifting and fraud customers and employees in retail stores and financial organization.
• Access control to certain areas of commercial and manufacturing facilities.
• Create and manage a unique multichannel customer communication.
• Profound customer experience and preferences analysis.
• Creation of personalized recommendation based on customers data.
• Enables personalized recommendation for target audience.
• Accurate data about customer satisfaction.
• Increasing average check.
• Decreasing cost on attracting new customers.
• Tracking customers movement within retail space.
• Silhouette Recognition – To collect real-time statistics on human silhouettes, by enabling Silhouette Recognition.
• Person Identification & Clusterization – Cluster faces into single entity and categorize it as person.
• Face mask detection.
• Improved live view with real-time detection of face associated with each camera.