Python
Computer Vision
2010
ID: 1CP0651
Multi-Traffic Scene Perception Based On Images
Keywords:
Computer
Vision,
OpenCV,
Image
Processing,
Traffic
Scene
Analysis,
Weather
Detection,
Image
Segmentation
Project Synopsis & Overview
This project analyzes traffic scene images to identify visual characteristics under different weather and lighting conditions, including rain, snow, fog, and nighttime environments. Using OpenCV, LAB color space conversion, image preprocessing, and image segmentation, the system extracts relevant features to assess road visibility and traffic conditions. A web-based interface presents analyzed images alongside location details to support traffic monitoring and road safety assessment.
Complete Technical Specifications
| Project ID | 1CP0651 (DB ID: 651) |
| Project Title | Multi-Traffic Scene Perception Based On Images |
| Domain Division | Python |
| Sub-Domain / Tech | Computer Vision |
| IEEE Year | 2010 |
| Package Price | ₹6500 |
| Created Date | Oct 31, 2026 |
Project Price
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₹8000
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