Sensormatic Solutions by Johnson Controls Expands Computer Vision Offering to Address Retail’s Most Pressing Challenges
Johnson Controls' Sensormatic Solutions has launched an innovative computer vision analytics platform aimed at enhancing retail operations. This technology uses existing video infrastructure to provide real-time insights for loss prevention, shopper behavior, and inventory management. Key features include shelf sweep detection and vehicle monitoring, which help retailers mitigate theft and improve customer experiences. With growing interest in AI-driven solutions, 43% of retail leaders already utilize AI for video analytics, while 31% plan to adopt it soon.
- Launch of computer vision analytics enhances retail loss prevention and customer engagement.
- Utilizes existing video infrastructure, facilitating cost-effective implementation.
- 43% of retail leaders currently employ AI-driven video analytics, indicating strong market demand.
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- Johnson Controls brand Sensormatic Solutions’ innovative technology architecture offers flexible, computer-vision-powered analytics to facilitate next-generation loss-prevention solutions, traffic monitoring, inventory intelligence, and shopper behavior activity insights
- Real-time insights on retail-specific use cases can help leaders make proactive, informed decisions
- Sensormatic Solutions’ computer vision technology leverages existing video infrastructure investments and is easy to deploy
NEUHAUSEN,
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 behavior, and maintain safe environments for shoppers and associates.
This solution’s flexible architecture 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, labor allocation, loss prevention, shopper satisfaction, and more. Current capabilities include:
- Shelf Sweep Detection: Monitors shelf activity for large-scale removals of items so in-store personnel can take pre-emptive measures to mitigate the theft. Alerts associates of low stocks, and tracks the movement of high-value items that are taken from shelves
- Vehicle Alert: Monitors parking lots to identify unauthorized vehicles, abandoned vehicles, and customer wait times to mitigate organized retail crime (ORC) and improve customer experiences
- Loitering Monitoring: Helps retailers 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 for groups entering or forming within stores and alerts associates 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 premises
- Audience Measurement: Provides insights into shopper demographics and sentiments so 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: Analyzes 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, and our computer vision offering allows us to solve these problems and streamline operations using existing video infrastructure," said
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
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 behaviors, visit sensormatic.com/computer-vision.
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