TRAFFIC VEHICLE MONITORING USING CNN

Language: English

Published by Omniscriptum, LAP Lambert Academic Publishing, 2026

6209583245 / 9786209583247

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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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Softcover

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Item description from seller

This item is printed on demand - it takes 3-4 days longer - Neuware -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. 76 pp. Englisch.…

Seller Inventory # 9786209583247

Title
TRAFFIC VEHICLE MONITORING USING CNN
Author
Tejas Mali
Publisher
Omniscriptum, LAP Lambert Academic Publishing
Publication year
2026
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6209583245
ISBN 13
9786209583247
Dimensions
220x150x33 mm

BuchWeltWeit Ludwig Meier e.K.

Bergisch Gladbach, Germany

5-star seller

AbeBooks seller since January 11, 2012

Shipping rates from Germany to U.S.A.

Item5 to 15 business days5 to 15 business days
First item£ 19.23£ 19.23
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BuchWeltWeit Ludwig Meier e.K.

Germany