Retailers face mounting losses from shoplifting and self-checkout fraud, prompting investments in security gates at store exits. However, these gates often remain open for extended periods, undermining their effectiveness. SAI visual AI platform addresses this challenge with its Security Gate Monitoring feature, which uses advanced computer vision to detect when gates are left open beyond a configurable threshold. The system raises real-time alerts and notifies the security team. This feature integrates seamlessly with existing CCTV infrastructure, offering scalable, cost-effective protection for retailers.
Security Gate Monitoring refers to the use of technology to oversee the status and operation of gates positioned at store exits, especially those outside self-checkout (SCO) counters. These gates are designed to ensure customers scan their receipts (often using the QR code on their receipts) before exiting the store. If gates remain open too long, shoppers may leave without proper verification. The Security Gate Monitoring feature tracks gate activity, detects anomalies, and triggers alerts when gates are open longer than allowed.
SAI platform analyzes CCTV feeds using machine learning algorithms, transforming standard cameras into intelligent security assistants. Here’s how the Security Gate Monitoring feature of the platform operates:
Yes. Retailers can configure the maximum allowed open time for each gate based on store policies and risk profiles.
Alerts are sent via the SAI Alerts app, store management systems, or directly to handheld devices, ensuring immediate visibility.
The system can be configured to recognize scheduled maintenance or authorized overrides, preventing false alarms.