Retailers will be able to use our facial surveillance analytic to help solve crimes faster than ever before. Every camera in every store will capture every face that comes into a view. Each of these face captures is stored and indexed as an event, including associated time stamp and another metadata. Once a person of interest is identified, retail security will be able to search quickly for every instance of that person appearing in any of that retailers stores. If the store has compiled a list of undesirable patrons these face matches can also be used to generate real time alerts to allow security to interdict the customer and ask them to leave or take other appropriate action.

Stop crime and vehicle-related liability with our powerful License Plate Recognition Analytic. You will be able to Improve surveillance by cataloging license plate events for parking lots, drive-up windows and entry gates. Using this analytic with our forensic search to locate and track even partial plate numbers.

Instantly search and receive alerts based on motion, direction, speed, color and size. Protect entry ways, parking lots and other critical areas with this analytic. Combine with other analytics for faster investigation times.

Store managers can improve sales performance and customer satisfaction with Boston’s powerful Queue Management analytic. Monitor customer lines and cashier availability at registers through a simple notification interface, and dramatically reduce wait times. Additionally, managers can gain insights using Boston’s Average Wait Time, Average Queue Size, and Queue Flow Rate analysis.

With Boston’s Demographics Analytic you will be able to estimate customer count and identify them by age and gender. Gain valuable intelligence to better understand what merchandise to stock. Compare counting estimates against point-of-sale (POS) transactions to understand foot traffic conversion. Run reports over time to gain business intelligence. Test advertisements by understanding what demographics respond to the ad.

You will be able to create real time events. For example, the Demographics Analytic extends the ability of the facial surveillance analytic to identify customers by age. A retailer could set up a real time alert for example, if someone under 21 after 9pm.

Using custom integration with data systems, trigger events to change digital signage based on age or gender when customers entering store.

Run reports showing each hour or user-customizable time intervals using Time Series reports. Histogram reports can be grouped by age and gender, with a total count for each category. Run a report daily, weekly, or monthly to understand trends. Save reports as a .csv file to use in Microsoft Excel. Customize reports by assigning values to age groupings or age cutoffs. From a security stand point you will now be able to use forensic search to narrow searches for suspects by gender and age. For example, search for a male suspect between the ages of 20 and 30 years old over the past 3 hours. Results appear in seconds

Retailers can use Boston’s People Counter to Count Store Traffic with Accuracy and Reliability. Our People Counter reliably detects how many people enter or leave a store. Even under changing lighting conditions and shadows, the People Counter achieves a high level of accuracy. Based on 3D imaging technology, Boston’s People Counter can record any number of people simultaneously. The counting remains accurate, regardless of the number of people.