Estimating Queue Lengths and Wait Times Using Camera Images

This patent describes a system that uses cameras to count people in a line and estimate how long they will have to wait, then sends that information to their phones.

What it covers

This patent outlines a method for automatically estimating the number of people in a queue and their expected wait time at a venue. It works by receiving multiple images, each showing a different part, or 'segment,' of the queue. A central server then processes these images using two different techniques: for some images, it estimates the number of people by analyzing how many pixels correspond to guests; for others, it directly detects and counts individual people visible in the image. Once the total number of guests in the queue is estimated, the system calculates the current wait time or the earliest entry time, and sends this information as a notification to the devices of venue guests. For example, a theme park guest could receive a notification on their phone saying, 'The wait for the roller coaster is 30 minutes,' based on real-time camera analysis.

What it doesn't cover

• —Does not cover systems that rely solely on manual counting or non-image-based sensors to estimate queue length.
• —Does not cover systems that only use a single, wide-angle image to estimate the entire queue without segmenting it.
• —Does not cover systems that exclusively use pixel estimation without also detecting and counting individual guests in at least some images.
• —Does not cover systems that estimate queue metrics but do not send notifications to individual guest devices.
• —Does not cover methods of estimating wait times that do not involve image analysis of the queue itself.

The clever bit

The novelty lies in combining two distinct image analysis methods—pixel estimation for broader coverage and individual detection for precision—across different segments of a queue, then delivering this real-time, actionable information directly to guests' devices.

Why it matters

This technology is important for improving customer experience in crowded environments like theme parks, airports, and large retail stores. By providing real-time wait times, venues can help guests make informed decisions, potentially reducing frustration and improving overall satisfaction. It also allows venues to better manage staff and resources based on actual crowd levels.

Real-world examples

• 1.Theme park ride wait time displays
• 2.Airport security line wait time estimates
• 3.Concert venue entry queue management
• 4.Large retail store checkout line monitoring
• 5.Museum exhibit queue management