<img src="https://pubads.g.doubleclick.net/activity;xsp=4610191;ord=1?" width="1" height="1" border="0" style="position: absolute;">

How smart video analytics helps you avoid checkout queues

For 50 percent of customers long waiting lines at checkouts are a major shopping annoyance. Here’s how smart queue management helps retailers significantly improve customer experience in their stores.
waiting lines computer vision
Author: Andy Penfold
Sep 17, 2020 5:00:00 AM
4 min read

Queues in stores arise when too many visitors encounter too few available cash registers. We have all experienced this situation and were annoyed especially when in a hurry. The larger a store and the more visitors shop, the greater the risk that a large number of people will rush to the checkouts at the same time. 

Busy checkouts could be avoided if retailers were able to keep a constant eye on all visitors. That's why retailers should rethink video surveillance. Their video systems can do much more than traditional use cases such as theft control. 

Subscribe for Updates

Queue management systems combining IoT security cameras and AI video analytics help businesses improve customer experience in stores by reducing waiting times at checkouts. During the COVID 19 pandemic, smart queue management also includes monitoring and ensuring compliance with social distance rules.

Smart surveillance in retail

What if your surveillance cameras could automatically detect when traffic jams build up at your store's checkouts and notify your staff in time to make more checkouts available?

This is exactly what networked cameras equipped with the latest video analytics technology from our Application Store can do to help you increase customer satisfaction. Specific apps give your cameras new capabilities far beyond security. 

Video Analytics applications for smart queue management

Detect & inform when queues at checkouts form

Detect & inform when over occupancy near checkouts appears

Detect & inform when many people move towards checkouts

Detect & analyze over occupancy through structural weaknesses in store layout

For each of these applications, smart security cameras can automatically trigger actions, such as informing employees. Connected to other systems, such as information displays in stores, cameras can also be used to further automate processes. 

The earlier retailers realize that queues will form at checkouts, the sooner appropriate measures can be taken to avoid them. That's why some retail camera apps even allow you to predict incidents before they happen. Time is money…

Worth reading: How smart video analytics helps retailers survive in tough times

Ready-to-use retail apps in our Application Store

Here are some exciting apps that you can install with a few clicks (provided your camera uses our common camera OS). New apps are constantly being added, more detailed information about each app you can find in our Application Store.

AI Retail: allows you people counting, crowd estimation, queue management, computation of occupancy and over occupancy (see screenshot above) and generating heat-maps of your store. 

retail analytics by ai teck

Source: Aitech

FLOW Retail: provides full-area people counting and tracking, queue detection, queuing times calculation, queue statistics, detection of hot spots or peak hours.

retail video analytics by flow-retail

Source: RCE Systems

Worth reading: What if the “new normal” in retail was 10x smarter than the old one?

RetailFlux Shopper Flow: detect and visualize in-store shopper activities with high accuracy heat-map, zone and route analysis to detect structural weaknesses in sales floor layout.

smart video analytics from retailflux

RetailFlux Queue: analyze all aspects of shopper activities inside your store and predict queue density events using latest AI algorithms.

Source: Linkanalytix

SAIMOS Count and Heatmapping: enables occupancy monitoring and analytics with multiple cams in stores.

smart video analytics from saimos-count

Source: ONG-IT GmbH

This is just a selection of apps designed specifically for retail security cameras, available in our Application Store. Browse through and be inspired!

Visit Application StoreGet to know more about our smart retail solutions.

How to start getting more out of your camera system

New AI technologies for IoT cameras offer retail users and system integrators endless possibilities to boost their businesses.

Surveillance camera users should start considering their cameras as business-all rounders, which can increase not only security but also sales success in stores. 

Security system integrators should use the examples given above to inspire their customers and create new groundbreaking retail solutions.

Did you like this article? Follow us on LinkedIn and Twitter to get all the latest information about Security and Safety Things including when and where to meet us at our event days.

Security & Safety Things provides you with everything you need to take your business to the next level: our open platform for IoT cameras, camera OS and marketplace for the latest AI apps. Sign up for our newsletter to stay informed. 

Topics: Retail, All

Recommended for You

How IoT is reshaping the future of video surveillance

Smartphones are the prototype of devices in the IoT. Security cameras will soon play a similar role for safety and security. In this article you will learn how new technologies and applications change the game in this industry.
Read More
6 min read

75+ start-ups that revolutionize Computer Vision in IoT

Computer Vision is a mega trend in IoT technology. We take a look at the top most interesting companies & startups in industry! 
Read More
7 min read

Start-Ups that Change the Game in Video Analytics & Deep Learning

Data is the fuel that drives applications in the IoT. Videos from IP cameras for security purposes contain more than just video information. 
Read More
7 min read