Live anomaly tracking
Employee behavior trends
Data source integration
Unified access and video
The challenge
Enhancing security with AI-powered surveillance
A leading French aerospace and defense company aimed to enhance security by analyzing access control data and surveillance footage to detect anomalies. They aimed to reduce false alarms, improve true positive detections, and support operators in assessing alerts effectively.
Key challenges
Need for higher threat detection accuracy
Scope for better surveillance
Gain smarter insights
Reduce false alarms
The solution
Optimizing security with AI
AI anomaly detection
Tracked anomalies
Applied ML for behavior analysis
Built monitoring dashboard
Data insights
Integrated access and video data
AI-driven pattern detection
90% of anomaly identification
Implementation approach
1
Smarter surveillance
Reduced false alarms
Optimized sensors
Improved analytics
2
Behavior monitoring
Flagged anomalies
Tracked trends
Predicted risks
3
Data intelligence
Merged external data
Automated reporting
Improved accuracy
The impact
Enhanced security and behavioral insights
Real-time alerts
Live anomaly tracking
Enhanced security
Flagged access
Behavior insights
Analyzed trends
Compared patterns
Spotted anomalies
Data fusion
Merged video and access data
Integrated external sources
Unified employee view
Looking ahead
Advanced AI
Enhance anomaly detection accuracy
Data integration
Expand data sources for deeper insights
Proactive security
Automate risk prediction and response
