TRAFFIC VEHICLE MONITORING USING CNN

Language: English

Published by LAP LAMBERT Academic Publishing, 2026

6209583245 / 9786209583247

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  • New
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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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Softcover

Condition: New

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Item description from seller

nach der Bestellung gedruckt Neuware - Printed after ordering - 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.…

Seller Inventory # 9786209583247

Title
TRAFFIC VEHICLE MONITORING USING CNN
Author
Tejas Mali
Publisher
LAP LAMBERT Academic Publishing
Publication year
2026
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6209583245
ISBN 13
9786209583247
Item weight
131 grams
Dimensions
220x150x5 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

Item7 to 10 business days5 to 7 business days
First itemUS$ 39.05US$ 50.21
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