Metrici AI in malls and shopping centers

Integrating AI, video analytics into malls or large commercial centers can significantly enhance operations, security, customer experience, and facility management. These technologies can streamline parking, security, crowd management, and even retail operations, ensuring efficiency and a better visitor experience

Parking Management with LPR

Seamless Entry/Exit with LPR:

Use Case:

  • License Plate Recognition (LPR) can automate the entry and exit process by recognizing vehicles as they arrive and leave the parking area. The system can instantly record entry and exit times, facilitating automatic payments, loyalty programs, and parking validation.
  • Customers with pre-registered plates can enjoy seamless entry and exit without the need for physical tickets or interactions, enhancing convenience.
  • LPR can also identify VIP customers or employees, directing them to reserved spaces or granting them special parking privileges.
  • Parking Enforcement and Security:

  • LPR can help enforce parking rules by identifying vehicles that overstay or park in restricted areas (e.g., fire lanes, handicapped spots). Security can be alerted in real-time when unauthorized vehicles are detected in designated zones.
  • By recognizing license plates, the system can also cross-reference them with databases of stolen or suspicious vehicles, improving overall security in the parking facility.
  • Parking Management with Parking Place Detector

    Real-Time Parking Spot Availability with DNN:

    Use Case:

  • AI-powered Parking Place Detector engine analyzes video streams to detect whether a parking spot is occupied or vacant. This real-time information can be displayed on digital signage (Metrici LED Display) or sent to a mobile app, guiding drivers directly to available spaces, reducing the time spent searching for parking and alleviating traffic congestion within the parking lot.
  • DNN (Deep Neural Networks) trained to detect cars from video streams ensures high accuracy in recognizing occupied spots, even in complex lighting or weather conditions.
  • Smart Parking Reservations:

  • With video analytics and AI, malls can introduce smart parking reservations where customers can pre-book a spot online. Once the customer arrives, the system recognizes their vehicle via LPR and directs them to their reserved spot, reducing wait times and improving the overall customer experience.
  • Parking Place Detector can also help enforce reservation rules by ensuring that reserved spots are only used by the correct vehicles, improving management of high-demand parking areas.
  • People and Vehicle Flow Management

    Line Counter for Traffic Flow:

    Use Case:

  • Line Counter can monitor the number of cars entering or exiting the parking lot or transiting different areas at any given time. This helps mall management understand peak traffic hours, adjust staffing, and manage vehicle flow more efficiently.
  • Inside the mall, Line Counter can be used to track foot traffic across entrances and exits, enabling better crowd control and optimizing facility management, such as ensuring adequate cleaning or security staff in high-traffic areas. Shops can have a better idea about the percentage of people entering their store in comparison with people transiting.
  • Area Counter for Crowd Density Management:

  • Area Counter can be deployed in parking lots, entry halls, or food courts to monitor how many people/cars are in a defined area. This is especially useful during peak shopping times, sales events, or holidays, as it helps management avoid overcrowding and ensures compliance with safety regulations.
  • Real-time crowd density data from Area Counter can also assist in emergency evacuations by providing security staff with accurate data on where the most people are located.
  • Security and Surveillance

    AI and Video Analytics for Mall Security:

    Use Case:

  • AI-powered video analytics can be used to detect suspicious activities or unauthorized access in restricted areas of the mall (e.g., staff-only zones, back offices, or storage rooms). DNN models trained on behavior detection can recognize theft, vandalism, or loitering in real-time, triggering alerts for mall security personnel.
  • AI-driven recognition can be integrated with access control systems to allow only uniformed or equiped authorized personnel into certain areas, such as loading docks, control rooms, or staff offices, ensuring higher levels of security.
  • Thermal Analysis for Night Surveillance and Fire Prevention:

  • Thermal cameras can be used for after-hours surveillance to detect possible fire alerts. Also any unauthorized entry into the mall by identifying heat signatures from individuals or vehicles.
  • Thermal cameras integrated with Metrici AI can also be used for fire prevention by monitoring equipment for overheating and detecting potential fire hazards in parking lots or around electrical systems.
  • Access Control and Smart Entry Systems

    AI-Driven Access Control for VIP and Staff Parking:

    Use Case:

  • Metrici LPR can be combined with access control systems to provide automated gate access for VIP customers, staff, or delivery vehicles. For instance, the system can recognize pre-registered vehicles and open barriers automatically, without the need for access cards or manual verification.
  • For enhanced security, AI-powered recognition or QR code systems can be used for staff entry into restricted areas, reducing the risk of unauthorized access and ensuring only verified personnel enter sensitive zones.
  • Vehicle and People Detection for Security:

  • AI-driven vehicle and people detection systems can be installed at entry points to monitor and detect any unauthorized individuals or suspicious vehicles entering the premises.
  • In case of security alerts, these systems can provide live feeds and real-time tracking of vehicles or people to security teams, allowing them to respond more quickly and effectively.
  • Retail Operations and Customer Analytics

    People Counting for Store Insights:

    Use Case:

  • Inside the mall, people counting can provide valuable data on foot traffic within individual stores or sections of the mall. This information can be used by retailers to optimize staffing levels, store layouts, and promotional campaigns.
  • Malls can also use this data to attract and negotiate with tenants by demonstrating high foot traffic and potential customer reach in specific areas of the center.
  • Queue Management at Retail Stores:

  • AI-powered queue management systems can help retailers understand how many customers are waiting in line at the checkout. If queues get too long, Metrici AI can notify staff to open additional registers, improving customer satisfaction and reducing wait times.
  • Thermal Analysis for Health and Safety

    Thermal Scanning for Crowd Safety:

  • During public health crises, thermal cameras can be used at entrances to detect individuals with elevated body temperatures. This helps reduce the risk of spreading infections in crowded environments like malls, while still allowing large numbers of people to enter safely.
  • Thermal analysis can also be used for security purposes, such as identifying individuals hiding in dark or hard-to-see areas of the parking lot or other restricted zones.
  • Visitor Behavior Analytics and Personalized Services

    Metrici AI for Personalized Customer Experiences:

    Use Case:

  • By integrating people detection, LPR, and AI, malls can offer personalized services to frequent customers. For instance, LPR can recognize repeat visitors and send personalized offers or promotions to their smartphones as they park.
  • AI can analyze visitor behavior and shopping patterns, helping malls and retailers tailor their offerings based on customer preferences, improving customer loyalty and driving repeat visits.
  • Sustainability and Energy Management

    Smart Parking for Electric Vehicles:

  • AI systems integrated with LPR and Parking Place Detector can identify electric vehicles as they enter the parking area and direct them to dedicated EV charging spots.
  • These systems can monitor EV charging station usage and ensure optimal rotation of vehicles to prevent long queues at charging stations, helping the mall promote sustainability initiatives.
  • Energy Usage Optimization with AI:

  • AI can also monitor energy usage throughout the mall and parking facilities, identifying inefficiencies or areas where energy savings can be made. This helps malls reduce their environmental impact and lower operating costs.
  • Emergency and Incident Response

    Real-Time Incident Alerts:

    Use Case:

  • AI-powered video analytics combined with Line Counter and Area Counter can provide real-time alerts for emergency situations, such as overcrowding, unauthorized access, or suspicious behavior in parking lots or inside the mall.
  • AI systems can assist with emergency evacuations by analyzing people's movement patterns and guiding them towards the nearest exits. Area counters can ensure that all individuals are safely evacuated by counting the number of people remaining in specific zones.