Scylla — Suspicious Shopping Behavior Detection

Scylla: AI-Based Suspicious Shopper Behavior Detection to Prevent Theft

Scylla’s AI solution automatically analyzes CCTV footage to detect potential theft and suspicious or dangerous behavior—ensuring your security systems remain consistently effective and reliable.

Scylla Suspicious Shopping Behavior Detection

How it works:

● Behavior Analysis: Scylla detects actions such as hiding items in bags or backpacks—behaviors that may indicate attempted theft.
● Checkout Zone Exclusion: The system excludes checkout areas from analysis, where customers are allowed to pack purchased items.
● Instant Alerts: When suspicious behavior is detected, Scylla sends alerts to security personnel’s devices, including a short video of the incident.
● Integration: The system easily integrates with existing surveillance cameras and processes multiple video streams simultaneously.

Loss Reduction:

Retail theft causes significant financial losses—Scylla helps minimize these by detecting suspicious activity early.

Safety Support:

Timely detection of suspicious behavior enhances the safety of both staff and customers.

Efficiency:

Automating the process allows security personnel to focus on other critical tasks.

High Accuracy:

Scylla achieves detection accuracy of up to 97%, significantly reducing false alerts.
Real-Time Response:

The system operates in real time, enabling instant reaction to incidents.
Scalability:

Scylla processes multiple video streams simultaneously, making it suitable for stores of any size.
Enhanced Integration:

Easily integrates with existing surveillance systems without the need for additional hardware.

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