/

Case Studies

/

Detect anomalous activity through AI-powered video streams

Detect anomalous activity through AI-powered video streams

Detect anomalous activity through AI-powered video streams

How AI-powered video surveillance analysis enhanced security and operational efficiency

How AI-powered video surveillance analysis enhanced security and operational efficiency

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