Live Queue Management

Live Queue Management
Airport operator would be able to monitor in real time of the queue length of all areas, and could assign resources to address area with excessive waiting time.
Overview
Effective passenger flow management is key to enhancing operational efficiency and improving the airport experience. FootfallCam’s AI-powered solution provides real-time tracking and predictive analytics, allowing airports to identify bottlenecks, minimise wait times, and optimise resource allocation. Automated alerts enable operational teams to respond proactively. By integrating with AODB data, airports can forecast incoming passenger traffic, helping retail management optimise staffing and inventory to maximise sales opportunities and revenue.
Airports can select from a range of people counters with multiple counting technologies tailored to different areas, ensuring accurate passenger flow monitoring and operational efficiency.
3x Devices to Choose From, Each Cater for Specific Airport Environments
Hybrid solution combining three counting technologies, each catering to different use cases and environments
3D stereo vision technology involves installing 3D people counters at each passage to accurately measure the number of individuals entering and exiting specific areas or checkpoints. This system is ideal for locations with clearly defined entrances and exits. By utilising advanced 3D stereo vision, it provides top-down views and high frame rates, ensuring precise occupancy data for passageways and enhancing overall accuracy in monitoring foot traffic.
AI-powered video analytics integrates with existing CCTV systems via Centroid, enabling effective monitoring of large areas (up to 10,000 sq ft) and high-ceiling spaces where mounting cameras is challenging. This solution is particularly beneficial for tracking occupancy levels and queue lengths at various checkpoints, leveraging current CCTV infrastructure to enhance operational insights and efficiency.
Entry and exit-based occupancy counting utilises the IN minus OUT method to effectively measure occupancy in large areas. This system tracks queue lengths at each service station and monitors occupancy levels in different sections of the airport, providing valuable insights for managing passenger flow and enhancing operational efficiency. It is ideal for occupancy counting in expansive environments.
Use Cases
Continuously monitors queue lengths at check-in areas, providing real-time alerts when queues build up, prompting operators to open more counters. It automatically detects counter openings and closures by analysing signage or passenger presence, ensuring efficient service allocation and minimising wait times for passengers.
Tracks occupancy at security checkpoint entrances using “IN-OUT” counts, monitoring passenger flow in real time. It measures service throughput for each lane, providing insights into queue dynamics. By optimising resource allocation based on real-time data, airports can ensure sufficient checkpoint provisions, minimise delays, and improve overall efficiency, enhancing the passenger screening experience.
Provides real-time queue tracking in boarding halls, offering live updates on queue lengths. AI-powered predictions forecast congestion, allowing operators to manage queues proactively. Dynamic staff allocation ensures resources are adjusted based on real-time data, reducing wait times and streamlining the boarding process. This enhances passenger experience by ensuring a smoother and more efficient boarding operation.
Tracks real-time crowd levels in the baggage claim area, automatically detecting congestion. Automated alerts notify operators of crowd buildup, allowing immediate investigation and quick resolution of baggage delays. By integrating with baggage arrival data, it assesses handler performance, ensuring SLAs are met. This helps reduce passenger frustration, improve efficiency, and enhance overall airport service quality.
FootfallCam measures passenger traffic in retail areas and predicts footfall based on flight departures by integrating with AODB data, helping retailers prepare for peak periods. Combining sales and footfall data offer insights into spending patterns and shopper demographics through boarding pass scans. This enables airport retailers to optimise marketing strategies, adjust staffing levels, and enhance the shopping experience, ultimately maximising revenue opportunities within the terminal.
Tracks passenger visits to airport lounges, identifying peak hours and predicting traffic using flight data for better staff allocation. Occupancy monitoring ensures lounges remain within capacity limits, preventing overcrowding. By measuring visit duration, airport operators can assess passenger dwell time, optimise seating arrangements, and enhance service efficiency. These insights help improve lounge management, enhancing travellers experience.
FootfallCam Centroid utilises existing CCTV systems to monitor parking bay availability in real-time. Integrated with car park signage, it directs drivers to available spaces on different levels, reducing congestion and optimising space usage. By minimising the time spent searching for a spot, it enhances the overall parking experience, improving efficiency and customer satisfaction for travellers using airport facilities.
Provides real-time tracking of vehicles at the rideshare area, optimising dispatching and reducing passenger wait times. Instant alerts notify traffic management officers of queue buildups, ensuring smooth vehicle flow. By analysing passenger arrival patterns, it forecasts demand and estimates the required number of taxis or ride-hailing vehicles during peak hours. This improves efficiency, minimises congestion, and enhances the overall passenger experience at the airport.
Monitors washroom usage, predicting demand fluctuations to ensure adequate capacity. By aligning janitorial staffing with real-time occupancy data, it enhances cleaning efficiency and prevents under- or over-servicing. Data-driven insights help airports review SLAs, maintaining cleanliness and operational standards. A well-maintained washroom improves passenger satisfaction, contributing to a positive overall airport experience.
Airport operator would be able to monitor in real time of the queue length of all areas, and could assign resources to address area with excessive waiting time.
Airport top management can quantify the passenger satisfaction based on their waiting time in check-in lobby, security checkpoint, immigration desk and baggage collection. It allowed the management to Identify the weakest link and define a clear goal for the operation team.
Provides the historical data for security check area, including number of people in queue, waiting time, number of people passed the security checkpoints and number of open checkpoints.
Provide consistent service quality and make cost saving decisions by measuring the usage of facilities. By creating staff schedules based on the usage of facilities to reduce workload on areas that do not require maintenance, airport operators can optimise the efficiency of operations.
Analyse historical occupancy trends, identify crowded zones, review capacity usage, and ensure compliance with reports for authorities.
FootfallCam V9 System Architecture offers AI-driven predictions, real-time dashboards, and AODB integration, enabling occupancy tracking, simulations for flight delays, and seamless data management via mobile apps for the airport industry.
Working with Airport Operators
Each counters’ accuracy be will audited by recording a video and comparing the difference between systemic and manual count.
The only data sent out by the sensor is a constant stream of moving dots, each dot representing a passenger.
Experienced in management for large scale project to take accountability for a successful enterprise delivery for every roll out projects.
Providing assistance and support for installation remotely through ad-hoc or on-demand remote session.
Setting the standards for ease of use, extract data with pre-built connectors to your business intelligence.
Dedicated project manager to take accountability and to resolve issues at any moments’ notice.
FootfallCam in Action
Watch VideosAirports around the world are using FootfallCam
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FootfallCam uses advanced people counting technology that is proven to be accurate in any condition. Multiple units of people counter will be able to combine their data and cover multiple entrances in a single store.
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Measure visitors’ behaviours within your premises, and optimise your operations for maximum ROI.
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Footfallcam 3D People Counter uses stereo vision to mimic the concept of human eye imaging perception to accurately depict the direction of travel for visitors and for counting the number of visitors.
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The 3D Pro2™ is designed to be installed at the different entrance of a retail store, capturing proprietary IN/OUT counting and other business metrics, which help retailers optimise their operations while maximising their sales conversions.
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Secure, the Highest Standards. Meets all industrial corporate standards, including GDPR and more, with rigorous pen tests and comprehensive policy documentation for privacy and security.
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Enhance Accuracy with Staff Exclusion
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FootfallCam uses advanced people counting technology that is proven to be accurate in any condition. Multiple units of people counter will be able to combine their data and cover multiple entrances in a single store.
05:05
Easy to Install. Easy to Maintain.
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Metrics Captured: Visit Duration measures time in-store using Bluetooth Counting.
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Metrics Captured: Outside traffic measures the average time customers spend in your store using Bluetooth Counting.
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