THE RETAIL BULLETIN - The home of retail news
Home Page
News Categories
Christmas Ads
Commentary
Department Stores
Electricals & Technology
Entertainment
Fashion
Food & Drink
General Merchandise
Grocery
Health & Beauty
Home & DIY
Interviews
Property
Retail News
Retail Solutions
Shopping Centres, High Streets & Retail Parks
Sports & Leisure
Retail Events
THE Retail Conference 2022
Retail Women In Leadership 2022
Digital Transformation Strategy 2022 Part 2
Omni Channel Futures 2023
Upcoming Retail Events
Past Retail Events
Retail Insights
Retail Solutions
Advertise
About
Contact
Subscribe for free
Terms and Policies
Privacy Policy
Sensormatic Solutions by Johnson Controls expands its computer vision offering to address retail’s most pressing challenges

Sensormatic Solutions, the leading global retail solutions portfolio of Johnson Controls, has expanded its computer vision analytics offering, which focuses on driving sales, reducing risk and enhancing the shopper… View Article

RETAIL SOLUTIONS

Sensormatic Solutions by Johnson Controls expands its computer vision offering to address retail’s most pressing challenges

Sensormatic Solutions, the leading global retail solutions portfolio of Johnson Controls, has expanded its computer vision analytics offering, which focuses on driving sales, reducing risk and enhancing the shopper experience.

The company’s computer vision solutions are created in partnership with Intel and optimised for retail using proprietary Sensormatic IQ artificial intelligence (AI) algorithms. With Sensormatic Solutions’ computer vision capabilities, retailers can leverage existing video infrastructure and a smart hub appliance to tap into the data needed to open a world of problem-solving solutions across the retail landscape.

First introduced in 2021, Sensormatic Solutions’ computer vision offering can be easily deployed using a smart hub device in conjunction with existing camera infrastructure, to facilitate streamlined, cost-effective adoption of next-generation AI in retail environments. Computer vision automates tasks and derives meaningful information from video footage in real time, helping to strengthen loss prevention efforts, provide insights on shopper behaviour and maintain safe environments for shoppers and assistants.

The flexible architecture of this solution allows retailers to tailor systems to their unique needs. Computer vision analytics can be used to address a wide range of real-world challenges, including customer engagement, stocking, labour allocation, loss prevention, shopper satisfaction and much more. Current capabilities include:

  • Shelf Sweep Detection: monitors shelf activity for large-scale removal of items so that in-store personnel can take pre-emptive measures to mitigate theft. Alerts assistants of low stocks and tracks the movement of high-value items that are taken from shelves.
  • Vehicle Alert: monitors car parking areas to identify unauthorised or abandoned vehicles and to monitor customer wait times in order to mitigate organised retail crime (ORC) and improve customer experiences.
  • Loitering Monitoring: helps retailers to mitigate ORC events by identifying individuals lingering in low-traffic areas after business hours, when criminal activity is more likely to occur.
  • Group Detection Alert: monitors any groups entering or forming within stores and alerts assistants to help prevent ORC events.
  • Traffic Pattern Insights: observes paths to purchase and shopper movements throughout the floor to facilitate more effective layouts, stocking and more.
  • Slip-and-Fall Detection: monitors sales floors for shoppers who may have injured themselves on the premises.
  • Audience Measurement: provides insights into shopper demographics and sentiments so that retailers are equipped with the necessary data to curate exceptional shopping experiences by tailoring marketing plans, promotions and offerings to their unique customer base.
  • Dwell Time Measurement: analyses the length of time customers spend engaging with different displays to help retailers evaluate the effectiveness of their campaigns and promotions.

‘We’re working side-by-side with incubator customers to identify and design timely solutions that target the most challenging retail problems; our computer vision offering allows us to solve these problems and streamline operations using existing video infrastructure,’ said Subramanian Kunchithapatham, chief technology officer at Sensormatic Solutions. ‘The technology architecture allows retailers to add and remove computer vision analytics capabilities as needed to complement their current solutions. The latest enhancements can help retailers to learn about customer behaviour, mitigate losses and develop better shopping experiences, while also allowing them to look beyond loss prevention for video integration.’

These product enhancements come at a time when the popularity of AI-based video monitoring is growing in the retail industry. A recent study conducted by Sensormatic Solutions and Coresight found that 43% of retail leaders surveyed currently use AI to analyse in-store video, and a further 31% expect to adopt these solutions in the next 1-3 years. Sensormatic Solutions is at the forefront of this growing market and has recently been named one of Business Innovation Group’s 2022 AI Excellence Award winners for its computer vision capabilities.

Sensormatic Solutions’ new computer vision technologies are available now, and new use cases that address additional retail challenges are being developed for release in the near future. For more information about leveraging existing video infrastructure to improve operations, strengthen loss prevention and gain a better understanding of shopper behaviour, click here.

Email this article to a friend

You need to be logged in to use this feature.

Please log in here

Subscribe For Retail News

THE NEXT EVENT

See all upcoming events

LATEST VIDEO

UKG LifeWork ALL: Register your place now to hear more. RETAIL HR 21 Sept LONDON
UKG LifeWork ALL: Register your place now to hear more. RETAIL HR 21 Sept LONDON

Watch video >