AI Intrusion Detection Engine
Improve operational efficiency with intelligent alarm classification
AP Sensing's AI Intrusion Detection Engine uses machine learning with Distributed Acoustic Sensing (DAS) to automatically detect, classify and localize multiple third party intrusion and interference activities simultaneously, enabling faster, more confident decisions while reducing operating costs.
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Detected Activities
The AI Intrusion Detection Engine supports simultaneous recognition of multiple activity types, such as
- Excavator digging
- Manual digging
- Fence tampering (climbing, cutting...)
- Person walking
- Pile driving
- Drilling with auger
- Jackhammering
- And more
Alarm Quality
Multi-Class Recognition
Recognizes a wide range of intrusion and interference activities. Delivers accurate classification across long distances and changing acoustic conditions.
Simultaneous Event Recognition
Recognizes multiple events simultaneously. Delivers reliable alarming by distinguishing concurrent activities in parallel.
High Alarm Accuracy
Detection and classification optimized to reduce nuisance alarms while maintaining operational confidence.
Precise Localization
Configurable alarm zones pinpoint events accurately and support fast, targeted response.
Ready to Scale
Scalable, Interoperable Monitoring
Designed for long distances and simultaneous multi-asset monitoring.
Secure and Upgradable by Design
Built-in security. Seamless updates ensure access to ongoing improvements and expanding detection classes over system lifetime.
Integration, Visualization & Operations
Supports visualization with SmartVision and can interoperate with third-party solutions.
Versatile Use Across Critical Infrastructure
Power Grid Monitoring
Automated detection, classification and localization of third party intrusion (TPI) activities supports the protection of critical grid assets and improves operational response.
Pipeline Monitoring
Multi-activity third party intrusion (TPI) monitoring with configurable zones and classification enables efficient response and supports asset protection along pipeline corridors.
Railway Monitoring
Detect, classify and localize relevant activities along railway routes to enhance situational awareness and operational efficiency.
Perimeter Monitoring
Detect, classifly and localize intrusion-related activities, such as walking and fence attacks, to strengthen perimeter protection for critical infrastructures.
Product Features
AI-Based TPI Detection and Classification |
AI-driven detection of third party intrusion (TPI) and interference activities using Distributed Acoustic Sensing (DAS).
Proven DFOS Expertise |
Built on decades of fiber-optic sensing experience and deep domain knowledge in Distributed Acoustic Sensing.
Powered by AP Sensing DAS Platform |
Leverages a robust DAS foundation for automated, high-confidence detection of multiple activity types.
Simultaneous Multi-Activity Detection |
Detects and classifies multiple activities in parallel for comprehensive situational awareness.
Advanced Alarm Management |
Configurable zoning, aggregation, and verification logic help reduce nuisance and false alarms.
Adaptive Machine Learning |
Algorithms are tuned to real acoustic environments, ensuring consistent performance over long distances.
Operational Visualization Support |
Provides clear, intuitive visualization tools to support efficient monitoring across sites and assets.
Future-Ready and Upgradable |
Designed for seamless updates, enabling continuous improvements and expansion to new detection classes.
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