CrowdVision provides automated passenger analytics and insight solutions that allow airports to enhance efficiency, profitability and passenger experience.
The company’s software processes live video from commercial off-the-shelf (COTS) cameras, and automatically analyses passenger flows using modern artificial intelligence (AI) techniques. Because it is video-based, CrowdVision analyses an entire passenger population – not just a sample – in real time.
CrowdVision outputs live data about everything from flows, queues and wait times to processing times, occupancies, and asset utilisation.
Its live dashboards reveal actionable insights to improve real-time operations, while accumulated historical data provides reliable evidence for planning and investment decisions.
Off-the-shelf cameras for capturing airport data
CrowdVision processes live video from COTS cameras positioned on pillars or the ceiling. The sensors have a fisheye lens and broad field-of-view to reduce deployment costs.
Since sensors are installed looking down, the solution provides anonymous, non-personal data. However, CrowdVision’s machine-learning AI algorithms allow it to distinguish people from other objects, such as bags.
The company’s software counts pedestrians, as well as measures their speed and direction of movement in real-time, even in busy environments, by compiling images from different cameras for increased visibility.
Real-time passenger data collection for reducing waiting times
CrowdVision provides granular, real-time data on passenger flows, queue lengths and wait times, processing periods, and asset utilisation by both passengers and staff.
Passenger flow analysis and queue time measurements can be used to improve checkpoint efficiency. By reducing queues and waiting times, airports move passengers into retail areas faster.
Analysis of passengers’ retail habits at airports
CrowdVision’s analysis can also be used to monitor the number of passengers approaching or entering particular retail outlets.
Combined with point-of-sale basket data, the analysis allows airports to understand retail conversion metrics and dwell times, as well as optimise retail space value.
CrowdVision’s data helps airports to increase rental returns and partner with retailers to drive sales.
Real-time dashboards and occupancy alerts for airport security
The company’s real-time dashboards and alerts provide airport operators with high levels of situational awareness, and the opportunity to resolve issues as they emerge. For example, occupancy-level alerts can be used to manage safety and security issues effectively.
Over the longer term, CrowdVision enables airports to improve the efficiency and profitability of assets, which leads to improvements in passenger satisfaction and airport service quality (ASQ) scores.
Comprehensive monitoring of airport traffic flows
CrowdVision captures the movement of all passengers moving through airports, allowing the company to generate statistically valid results. This differentiates it from Bluetooth / Wi-Fi technologies, which typically measure 20-40% samples consisting of pedestrians with activated mobile phones.
The company’s sensors provide high-quality images, and its proven software analytics are more than 95% accurate.
Real-time dashboards supply live data for immediate use, or it can be added to data warehouses or business intelligence platforms to generate enhanced insights.
Data can also be relayed through pre-formatted historical reports, which clients can access through an online portal.
Customisable, secure outputs for passenger analytics
All CrowdVision outputs can be customised to reflect the layout of the physical environment, so that operational users can quickly examine the analytics.
By default, video feeds are not retained once they have been analysed, to reduce storage requirements.
Dashboards and reports are published on the client’s intranet, with password-protected access or sharing privileges if required.
Long-lasting, scalable analytics for airports
CrowdVision is an enterprise solution with built-in back-up processes, redundancy, and system health monitoring capabilities.
The solution is designed to be easily scalable, and clients can expand their coverage by adding more sensors or reconfiguring the software to provide analytics across additional areas.
