Identify unusual movement patterns like cart push-outs and unauthorized exits to mitigate risks and safeguard your assets.
Retail theft costs businesses over $100 billion annually, with organized retail crime and opportunistic theft on the rise. Preventing theft requires more than traditional, reactive surveillance. In public and retail environments, security often fails because standard cameras cannot effectively track individual movement to identify abnormal patterns that signal potential theft or unauthorized behavior.
Our i3Ai Trajectory Anomaly is the advanced solution. It leverages powerful Ai to track and analyze movement, comparing customer trajectories against expected patterns to immediately detect and flag anomalies as they occur. This intelligent system transforms surveillance data into actionable insights.
The system continuously tracks and analyzes individual movement within your store or facility, learning what normal shopping routes looks like and identifying unusual patterns such as moving directly to exits without interacting with checkout areas or bypassing secure zones.
Advanced Ai compares detected movement against expected behaviors, instantly flagging anomalies for investigation. This includes cart push-outs through unauthorized exits, self-checkout bypass attempts, and other established movement patterns signaling potential theft.
For enhanced security, Trajectory Anomaly integrates seamlessly with i3’s Ai Sentry solution to capture facial data of individuals exhibiting abnormal behavior—providing additional identification for theft prevention, case building, and creating watchlists of known offenders.
Aggregate incident data over time to identify trends and patterns. Use these insights to refine security strategies, optimize store layouts, and deploy staff more effectively to address potential risks before they escalate.
Stop cart push-outs and detect self-checkout bypass, reducing external theft by 90% and protecting merchandise.
Identify shoplifting patterns and unauthorized exit attempts, preventing losses and enabling proactive security responses.
Monitor and track unauthorized access attempts, detecting unusual movement in high-security areas and loading docks.
Enhance safety in large venues (airports, train stations, etc.) by quickly detecting abnormal movement patterns that could signal security risks or criminal activity.
i3Ai Trajectory Anomaly uses advanced Ai algorithms that learn normal movement patterns specific to your environment. The system achieves over 95% accuracy in identifying genuine anomalies while minimizing false positives, adapting to your unique store layout and customer flow patterns.
Yes. It integrates seamlessly with existing surveillance cameras and works exceptionally well when paired with i3Ai Sentry for photo matching recognition. The system also connects with your security protocols and incident management systems via API.
It specifically detects individuals attempting to push carts or leave through areas not designated for customer exits, which is a common way external theft is attempted.
i3Ai Trajectory Anomaly sends instant alerts to security personnel with video footage and trajectory visualization. When integrated with i3Ai Sentry, it also captures facial images for identification. All incidents are logged with detailed analytics for trend analysis and case building.
Absolutely. Built on enterprise-grade infrastructure, i3Ai Trajectory Anomaly scales from single stores to multi-location enterprises. The Ai learns location-specific patterns while providing centralized management and cross-location analytics to identify broader theft trends.
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