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:
The visual AI system monitors the physical state of security gates in real time, using video analytics to determine whether a gate is open or closed.
Retailers can set custom time limits for how long a gate may remain open. If the gate stays open beyond this threshold, the system treats it as a potential security breach.
When the time limit is exceeded, the platform instantly raises an alert. Notifications are sent to the security team via the SAI Alerts app or integrated store systems, prompting immediate action.
All gate events and alerts are logged for audit and review, supporting compliance and operational analysis.
SAI security gate monitoring is a feature of the SAI visual AI platform. It uses computer vision on your CCTV feeds to detect when security gates at store exits, especially after self-checkout counters, are left open longer than allowed, and alerts your security team in real time.
After paying, shoppers scan their receipt to open the exit gate. SAI’s AI watches these gates through your cameras and raises an alert if a gate stays open beyond your set time, so shoppers can’t leave without the receipt check.
Yes. SAI analyses your existing CCTV feeds using machine learning, so you don’t need special cameras or new hardware.
AI gate detection uses video analytics to decide whether a gate is open or closed. SAI does this continuously and in real time, and triggers an alert when a gate stays open longer than the time limit you set.
Yes. All gate events and alerts are logged, so your team can review incidents, support compliance and audits, and analyze patterns over time to improve store operations.
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.