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Traffic Sign Recognition using Deep Learning and Image Processing

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  • Traffic Sign Recognition using Deep Learning and Image Processing

Thesis Nest built a real-time TSR system that detects, classifies, and tracks road signs from dashcams/CCTV to power driver-assist alerts and infrastructure analytics. Optimized for small, distant signs, it handles night, rain, glare, and regional icon sets.

Highlights:

  • Multi-stage DL pipeline (detector → classifier/OCR → tracker)
  • Edge-first deployment (Jetson/IPC) or cloud GPU
  • Sub-second latency with live overlays & APIs
  • Country profiles (km/h / mph), configurable alerts, searchable event logs
  • Privacy by design: on-prem processing, minimal data retention

Impact: Safer driving, better speed compliance, and actionable route insights—without replacing your existing cameras.

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