STOP SHOPLIFTER

Shoplifting preventing based on a face recognition system

GET PRESENTATION

4 - 5

months investment
return period

> 10 000

retail items already included
in a single security circuit

minutes - full deployment time

Features

SECURITY
MARKETING

REAL TIME

Real-time incident detection and response

IMMEDIATE DATA EXCHANGE

Stores and the HQ can send data to each other immediately

NOTIFICATION SYSTEM

24-hour scanning of persons under surveillance

SERIAL ANALYSIS

Searching incidents involving the same participants

DISCIPLINE

Improving discipline and performance control

ONE-OF-A-KIND ALGORITHM

Face recognition even under adverse conditions

NEW CAPABILITIES

Traffic measuring of a certain point-of-sale

ACCURATE FIGURES

Visitor data by time and day

LONG-STANDING CUSTOMERS

Identifying regular and key customers

SEARCH AND FILTERS

Handy search, event filtering, and audience segmentation

How it works?

Result

RATE CONTROL OF UNKNOWN ORIGIN LOSS

PROJECTED EFFECT OF IMPLEMENTATION

COST TRANSPARENCY (OPEX, CAPEX)

REDUCING THE ROLE OF THE HUMAN FACTOR

Stop-Shoplifter

The "Stop-Shoplifter" information and analytical system allows for the maximum reduction of losses from theft, fraud, and other malicious activities in any shopping malls and stores. This system has the widest coverage in Russia and CIS countries, an up-to-date archive, and utilizes advanced algorithms achieving the following metrics:

99 %

Facial recognition
accuracy:

97 %

Gender identification

95 %

Age determination

0.3 seconds

Video stream processing speed

The theft prevention system allows for undesirable situations to be prevented in real-time. Online data exchange between system users enables the creation of a unified security perimeter for the retail network and fosters a safe, shopper-friendly environment in the store. The "Stop-Shoplifter" IAS continuously monitors the sales floor, which helps reduce the number of instances of non-payment, theft, and other incidents.

Modern Algorithms

Deliver top performance in uncontrolled filming environments, such as a sales floor. They are capable of recognizing a person's face even when attempts are made to conceal it.

Easy Integration and Quick Launch

The system has minimal requirements for the retail network's IT infrastructure and can utilize the company's existing technical resources.

The "Stop-Shoplifter" IAS is registered in the Russian Software Registry and complies with all current information security requirements. The system's functionality is particularly relevant for retail businesses, distribution centers, and other locations handling inventory and material assets. The system reduces financial losses from shoplifting, eases the workload of employees by automating some control functions. It serves not only as a rapid response tool but also as a preventive measure, reducing the number of unpaid items and conflicts in the monitored area. The IAS easily integrates with other enterprise accounting and management platforms, making it a versatile solution for retail and other sectors requiring fraud protection.

The system's primary objective is to prevent losses caused by the actions of forgetful shoppers. To achieve this, the following functionality has been implemented:

Detection and prevention of theft

in retail establishments using facial recognition technology, enabling timely incident response and prevention;

Prompt alerting of security services

upon the re-appearance at any point in the retail network of an individual identified as a potential offender – thus creating a unified security perimeter for the enterprise and the industry; и головным офисом

Online information exchange

for coordinating actions and rapid response between retail locations and the head office;

Real-time monitoring

of conflict situations, theft, and attempted non-payment for goods;

Provision of precise analytics and statistics

including unique visitor counts, and determination of customer gender and age.

To start working with the "Stop-Shoplifter" IAS, you need surveillance cameras connected to a computer and a stable communication channel for accessing the analytics services and information cloud.

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