Articoli correlati a TRAFFIC VEHICLE MONITORING USING CNN
Sinossi
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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Risultati della ricerca per TRAFFIC VEHICLE MONITORING USING CNN
Foto dell'editore
Traffic Vehicle Monitoring Using CNN
Print on DemandDa: PBShop.store US, Wood Dale, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Codice articolo L0-9786209583247
Compra nuovo
EUR 49,46
Spedizione gratuita
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: Più di 20 disponibili
Foto dell'editore
Traffic Vehicle Monitoring Using CNN
Print on DemandDa: PBShop.store UK, Fairford, GLOS, Regno Unito
Valutazione del venditore 5 su 5 stelle
PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Codice articolo L0-9786209583247
Compra nuovo
EUR 48,03
Spedizione EUR 3,94
Spedito da Regno Unito a U.S.A.
Spedito da Regno Unito a U.S.A.
Quantità: Più di 20 disponibili
Foto dell'editore
Traffic Vehicle Monitoring Using CNN
Editore:
LAP Lambert Academic Publishing, 2026
ISBN 10: 6209583245
ISBN 13: 9786209583247
Nuovo
Brossura
Da: California Books, Miami, FL, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: New. Codice articolo I-9786209583247
Compra nuovo
EUR 51,58
Spedizione EUR 2,68
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: Più di 20 disponibili
Immagini fornite dal venditore
TRAFFIC VEHICLE MONITORING USING CNN
Editore:
Omniscriptum, LAP Lambert Academic Publishing, 2026
ISBN 10: 6209583245
ISBN 13: 9786209583247
Nuovo
Taschenbuch
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. 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. Codice articolo 9786209583247
Compra nuovo
EUR 43,90
Spedizione EUR 23,00
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 2 disponibili
Immagini fornite dal venditore
TRAFFIC VEHICLE MONITORING USING CNN
Editore:
LAP LAMBERT Academic Publishing, 2026
ISBN 10: 6209583245
ISBN 13: 9786209583247
Nuovo
Taschenbuch
Da: AHA-BUCH GmbH, Einbeck, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. 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. Codice articolo 9786209583247
Compra nuovo
EUR 49,63
Spedizione EUR 35,00
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 1 disponibili
Foto dell'editore
Traffic Vehicle Monitoring Using CNN (Paperback)
Editore:
LAP Lambert Academic Publishing, 2026
ISBN 10: 6209583245
ISBN 13: 9786209583247
Nuovo
Paperback
Da: CitiRetail, Stevenage, Regno Unito
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: new. 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. Codice articolo 9786209583247
Compra nuovo
EUR 52,97
Spedizione EUR 44,26
Spedito da Regno Unito a U.S.A.
Spedito da Regno Unito a U.S.A.
Quantità: 1 disponibili
Immagini fornite dal venditore
TRAFFIC VEHICLE MONITORING USING CNN
Editore:
LAP LAMBERT Academic Publishing Feb 2026, 2026
ISBN 10: 6209583245
ISBN 13: 9786209583247
Nuovo
Taschenbuch
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 76 pp. Englisch. Codice articolo 9786209583247
Compra nuovo
EUR 43,90
Spedizione EUR 60,00
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 1 disponibili
Immagini fornite dal venditore
TRAFFIC VEHICLE MONITORING USING CNN
Editore:
LAP LAMBERT Academic Publishing, 2026
ISBN 10: 6209583245
ISBN 13: 9786209583247
Nuovo
Taschenbuch
Da: preigu, Osnabrück, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. TRAFFIC VEHICLE MONITORING USING CNN | Tejas Mali (u. a.) | Taschenbuch | Englisch | 2026 | LAP LAMBERT Academic Publishing | EAN 9786209583247 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Codice articolo 134745819
Compra nuovo
EUR 39,45
Spedizione EUR 70,00
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 5 disponibili