Traffic Vehicle Monitoring Using CNN (Paperback)

Language: English

Published by LAP Lambert Academic Publishing, 2026

6209583245 / 9786209583247

  • Softcover
  • New
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Seller: CitiRetail, Stevenage, United KingdomCitiRetail

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Softcover

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Paperback. This project presents an advanced, AI-powered surveillance system specifically engineered to enhance road safety and enforce traffic regulations concerning two wheeler riders. The system autonomously detects helmet violations and illegal triple-riding-two of the most prevalent and hazardous traffic infractions involving motorcycles-using a synergy of real-time video analysis and deep learning techniques. At the core of the detection pipeline is YOLOv8, a state-of-the-art object detection model acclaimed for its high-speed inference and remarkable accuracy, enabling it to identify motorcyclists, count riders, and determine helmet usage with precision in live video feeds. The visual data is processed using OpenCV, which captures and refines each frame for effective object detection. In tandem with this, the system incorporates an Automatic Number Plate Recognition (ANPR) module, powered by Easy OCR, to accurately extract license plate information from detected vehicles once a violation is confirmed. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Seller Inventory # 9786209583247

Title
Traffic Vehicle Monitoring Using CNN (Paperback)
Author
Tejas Mali
Publisher
LAP Lambert Academic Publishing
Publication year
2026
Condition
new
Binding
Paperback
Language
English
ISBN 10
6209583245
ISBN 13
9786209583247

CitiRetail

Stevenage, United Kingdom

5-star seller

AbeBooks seller since June 29, 2022

Shipping rates from United Kingdom to U.S.A.

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