SensAI FloodScan Infrastructure

Edge Computing Scenarios & Communication Flow for Pit Monitoring

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Real-time Image Processing

Digital cameras capture pit interior images with edge-based processing to detect blockages, debris accumulation, and structural damage without requiring cloud connectivity.

Low LatencyPrivacy PreservedBandwidth Efficient
Source: P4438AU Patent Document - Image Analysis
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Sensor Fusion Processing

Edge processors combine data from light sensors, depth sensors, and cameras using advanced fusion techniques to provide comprehensive pit status assessment.

Multi-modalIntelligentAccurate
Source: P4438AU Patent Document - Data Fusion
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Pattern Recognition & Learning

Local pattern recognition processors build and maintain knowledge about drainage patterns, enabling classification of blockage types and severity determination.

Machine LearningAdaptiveSelf-improving
Source: P4438AU Patent Document - Machine Learning
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Predictive Modeling

LSTM neural networks trained on historical data predict drain status changes, enabling proactive maintenance scheduling and preventing system failures.

PredictiveProactiveCost-effective
Source: P4438AU Patent Document - Prediction
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Mesh Network Optimization

Local processing enables intelligent mesh network routing and healing, optimizing data transmission paths between sensor nodes.

Self-healingOptimizedResilient
Source: P4438AU Patent Document - Networking
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Critical Alert Processing

Edge computing enables immediate detection and prioritized transmission of critical drainage system failures without waiting for cloud processing.

ImmediatePrioritizedReliable
Source: P4438AU Patent Document - Alert System