Very accurate, bi-directional counting is the key to understanding customer, visitor or passenger volumes.  Comparison of volume against performance provides information that is otherwise difficult and costly to obtain.  Data can be collected in real-time or fed into a database so that historical information can be built up to evaluate trends and patterns in behaviour over a period.

Use of sophisticated detection and tracking algorithms ensures that counting results are very reliable, with over 98% accuracy.  The system can cope with challenging situations such as when a person may dwell at the threshold of a room before deciding to exit. 
 

Specific regions of interest may be defined so that a queue may be observed.  The multi-target tracking capability allows the detection of specific numbers of people in a gathering.  Thus, an alarm can be triggered when a defined number of people are in the queue.  Even if the queue is unorderly and seems to be just a gathering, accurate numbers can be determined and appropriate actions taken.  Flow rate and predicted wait time can be derived from the system. 

In airports, there are often considerable delays.  Passenger anxiety is reduced when they are provided with information about queue length and waiting times.  Real-time data can be presented to passengers to assist in queue choice and routing.  Stored data may be analysed to discover peak times and aid seasonal resource planning.  Service Level Agreement compliance can be monitored.
 

It is possible to accurately monitor customer tracks through an area and analyse their progress over time.  Thus an operator may determine dwell time, route, speed and other relevant metrics.  Data can be used to analyse behaviour in order to optimise building design and layout, improve retail performance, identify suspicious behaviour and other activities.  A store plan can be broken down by category, and hotspots defined in each category.  The system may report on the ‘attractivity’ of each category and hotspot and can produce contour maps that allow planners to easily visualise behaviour in the store.

Individual objects may be tracked over a wide area using a matrix of multiple sensors.  By populating a database with tracking data, historical information may be viewed and analysed.
 

Sensors can detect and track human faces then identify the gender of those faces.  Demographic information (gender and age) and attention time is extremely useful in gauging the effectiveness of digital signage, shop window displays and in-store promotions.  The product provides a powerful audience measurement tool.  Data is collected and presented as dashboards and may be integrated with other business information systems.

Content displayed on digital signage may be influenced by the audience's predominant gender, thus advertising can be more targeted and reach a specific audience more effectively.

Placing discreet sensors in a store window display allows planners to observe the relative attractiveness of the items in that display.  Viewer attention time and gender information assist in brand awareness and display performance studies.

As with all our products, no personal information or images are stored in the system, so all data is completely anonymous.