Understanding the visitor flow patterns also allows for more effective scheduling and placement of staff, character appearances, temporary events and marketing materials. Utilising real-time computer vision analytics algorithms to provide up-to-the-minute information to amusement park managers, as well as useful historical data, is a better way to gather the statistics you need without having to send valuable staff members to wander through lines or tally numbers. Sunmmer vacation, Christmas or Thanksgiving are some of the busiest days for amusement parks. However, every day of an amusement park's peak season is important, and every day, whether a major holiday or not, has its own queue and wait time data. Estimated wait times are automatically updated when there is a sudden influx of new visitors at the back of the line. The same technique applies if a group of people leave the queue. Real-time group counting analytics is not simply about counting the number of people in a space; it is about tracking individuals as they enter, move through, and leave a given environment with certain patterns. With a wealth of historical information at your fingertips, you have the potential to stay ahead of the crowd, prevent service disruptions, and be proactive about the number of people and resources needed on a given day or at a given time.