By combining Link Retail people counting and sector analysis data with the queue managements system, it is possible to detect queuing incidents prior to 30 minutes. The Link Retail queue prediction software utilizes both queue and counter cameras in order to determine the possibility of having high or low queue density events in near future. The system can also provide longer term predictions such as daily or weekly.
Our queue prediction engine is based on a property AI model, which is trained by using real-world examples of queuing incidents. The notifications generated by the system are directly delivered to the shopkeepers. By this way, allocating sufficient number of cashiers will keep the queue density levels in an optimal stage.