Face Recognition System (FRS)

Axes Geeks designed for precise identification, this system captures and stores facial data to authenticate identities and detect suspicious behavior in public spaces. The Face Recognition System (FRS) matches faces against an existing database, making it ideal for access control and identity management. It also strengthens security by providing real-time alerts for unauthorized access attempts, ensuring comprehensive protection.

• Highly Accurate NIST-Certified AI Model: Delivers exceptional precision and reliability in facial recognition, backed by certification from the National Institute of Standards and Technology (NIST).
• HRMS Integration: Seamlessly integrates with Human Resource Management Systems to streamline employee authentication and attendance tracking.
• Distant Recognition: Accurately recognizes faces from a distance, improving security in large public spaces and entry points.
• Instant Alerts for Listed Faces: Delivers real-time alerts for recognized faces in the system, enabling quick action against unauthorized access or suspicious individuals.
• Access Control Integration: Seamlessly integrates with existing access control systems to regulate entry into secure areas, ensuring access is granted only to authorized personnel.
• Liveliness Detection: Accurately differentiates between real human faces and fake representations, preventing spoofing and ensuring authentication is limited to live individuals.

Tailgating/Piggybacking Detection

Utilizing advanced AI video analytics, this solution monitors and prevents unauthorized access at secured entry points. By analyzing real-time video feeds, it detects and alerts security personnel to tailgating or piggybacking incidents, where unauthorized individuals attempt to follow authorized personnel into restricted areas. This technology reinforces security protocols, ensuring only authorized access to sensitive locations.

• Real-Time Detection: Continuously monitors entry points to detect and respond to tailgating and piggybacking attempts as they happen.
• Access Control Integration: Seamlessly integrates with existing access control systems, bolstering security measures and preventing unauthorized access.
• Automated Alerts: Instantly notifies security personnel of unauthorized entry attempts, ensuring swift response and enhanced security.
• Behavioral Pattern Analysis: Leverages AI to analyze and learn from entry and exit patterns, enhancing detection accuracy and system efficiency over time.
• Incident Recording and Reporting: Captures and logs video evidence of incidents, streamlining the review and investigation processes for enhanced accountability.

Crowd Statistics & Heatmap

Powered by AI video analytics, this solution delivers detailed insights into crowd dynamics by analyzing real-time video feeds. It provides statistical data on crowd size, density, and movement patterns, while heatmaps visually represent these insights. This enables effective space management, optimized resource allocation, and enhanced safety measures. Ideal for venues, events, and public spaces, this solution ensures operational efficiency and visitor safety.

• Real-Time Crowd Counting: Continuously monitors and counts individuals in designated areas, delivering up-to-the-minute crowd statistics for accurate monitoring and management.
• Density Analysis: Evaluates crowd density to identify congested areas, enabling optimized space utilization and improved crowd management.
• Movement Tracking: Monitors crowd movement patterns to analyze flow dynamics and identify potential bottlenecks, ensuring smoother operations and improved safety.
• Visual Heatmaps: Creates dynamic heatmaps to visually represent crowd density and movement, facilitating quick and informed decision-making.
• Customizable Reports: Offers detailed, customizable reports tailored to specific event or location requirements, ensuring relevant insights for effective planning and analysis.

Crowd Anomaly Detection

Powered by AI video analytics, this solution identifies unusual or suspicious behaviors within large groups. By analyzing real-time video data, it detects deviations from normal crowd patterns, such as sudden movements, loitering, or gatherings in restricted areas. This proactive approach enhances public safety and security by enabling swift responses to potential threats and incidents.

• Real-Time Anomaly Detection: Continuously monitors crowds to instantly identify unusual behavior, enabling immediate intervention and ensuring enhanced safety.
• Behavioral Analysis: Leverages AI to analyze and learn normal crowd behavior patterns, enhancing the precision and reliability of anomaly detection.
• Automated Alerts: Instantly notifies security personnel of abnormal activities, ensuring prompt responses to potential threats.
• Heatmap Visualization: Generates visual heatmaps to illustrate crowd density and movement patterns, enhancing situational awareness and decision-making.
• Historical Data Analysis: Examines past crowd behavior data to refine future anomaly detection and enhance response strategies.