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| # TrafficSentinel AI | |
| # Automated Traffic Violation Detection & Classification System | |
| # Gridlock Hackathon 2.0 — Flipkart × BTP | |
| """ | |
| TrafficSentinel AI uses a novel Hierarchical Scene Understanding Pipeline (HSUP) | |
| to detect, classify, and document traffic violations from surveillance imagery. | |
| Architecture: | |
| Layer 1: Adaptive Scene Conditioning (degradation-aware preprocessing) | |
| Layer 2: Multi-Scale Entity Detection + Tracking (YOLOv11 + SAHI + BoT-SORT) | |
| Layer 3: Scene Graph Construction (spatial relationship reasoning) | |
| Layer 4: Violation Reasoning Engine (rule + ML hybrid) | |
| Layer 5: Evidence Generation + e-Challan (legal-grade output) | |
| """ | |
| __version__ = "1.0.0" | |
| __author__ = "TrafficSentinel Team" | |