IrbisAi Predictive Analytics Module (Face Recognition)
The IrbisAi Predictive Analytics Module is designed to enhance security and operational efficiency by identifying and alerting security teams about potential threats, including known offenders entering a store or facility. This AI-powered solution significantly reduces losses from shoplifters and other security risks by leveraging advanced facial recognition technology. Our system can notify security personnel through various channels such as email and messaging platforms like Telegram, ensuring rapid and effective response.
Effect of Implementation
- Reduction of Theft and Losses: The presence of a facial recognition system acts as a deterrent, discouraging offenders from targeting stores equipped with this technology. Offenders aware of the system's capabilities tend to avoid such locations, resulting in a significant reduction in theft-related losses.
- Performance Metrics for Security Teams: The system provides detailed metrics that allow management to assess the effectiveness of store security teams. This includes tracking response times to notifications, the number of shoplifter profiles added to the database, and the number of recorded incidents.
Architecture
Our system is built on a robust architecture that ensures high accuracy and reliability. The facial recognition database is continuously updated with new data, ensuring that the system stays current with potential threats. The architecture also supports real-time analytics, allowing for immediate action in response to identified risks.
Componets:
LCD Panel/Monitor
Located at the store entrance, displays the facial recognition process for customers.Server with Facial Recognition System
Hosts the facial recognition system that processes and analyzes video feeds.Network Switch
Connects all components within the store's internal network.Corporate Network
Links the store's systems to the central database and allows for remote monitoring and control.Security Camera
Installed at the entrance, captures video footage for the facial recognition system.Situation Center or Security Staff Workstation
The control center where analysts or security staff monitor the system and respond to incidents.Facial Recognition System (Central Installation)
Manages the face database, incident records, analytical reports, diagnostics, and software updates.Internet Access via Cisco AnyConnect
Provides secure remote access to the system through VPN.Notification Systems
Includes Email, Messenger, and Voice Alert systems to notify staff of incidents.
Process Flow:
- The Security Camera captures video footage as customers enter.
- The footage is sent to the Server, where the Facial Recognition System processes the images.
- The LCD Panel/Monitor displays the recognition process.
- Data is sent over the Network Switch to both the Situation Center for real-time monitoring and the Central Server for further processing and storage.
- Notifications are sent to staff through various channels like Email and Messenger.
- The Corporate Network connects all these components, allowing centralized management and remote access through the Internet.
Related Solutions
- Face Recognition & Gender Analysis: Our module doesn't just stop at identifying known offenders. It can also analyze demographic data such as age and gender, providing valuable insights for store operations and marketing strategies.
- Enhanced Visitor Analytics: Unlike basic video analytics systems that track all entrants including children and employees our AI powered module filters these groups out, ensuring that conversion calculations and visitor statistics are highly accurate.
- Customer Behavior Insights: For businesses interested in customer reactions, the module can analyze facial expressions in response to marketing campaigns, offering insights into customer preferences and engagement.
Customer Profiling and Visitor Statistics
- Customer Segmentation: The system allows businesses to segment customers based on various criteria such as visit frequency (VIP customers, regular customers, one-time visitors), time of visit, and day of the week.
- Accurate Visitor Counting: The module accurately counts customer entries and exits through various points, including main entrances, exits, and checkouts. This precise counting helps in calculating the number of customers present in the store at any given time, facilitating better conversion analysis.
- Employee Timekeeping: With cameras installed at service entrances, the system records employee arrival and departure times, helping businesses track net working hours effectively.
Advantages of the System
- Resilience to Network Failures: Our system is designed to operate independently even during corporate network disruptions, ensuring continuous protection and analytics at each store.
- Flexible Notification Options: The system supports a variety of notification methods including email, messaging platforms, and sound alerts, providing real-time updates on incidents.
- Unified Database: The facial recognition database and incident logs are centralized across all locations, ensuring consistency and ease of management.
- Remote System Management: The system allows for remote updates and bulk changes to parameters, streamlining operations across multiple sites.
- Future-Ready Features: The module is equipped to activate additional functionalities such as gender analysis and unique visitor counting as needs evolve.
