Dynamic traffic rule violation monitoring system using automatic number plate recognition with SMS feedback

2017 ◽  
Author(s):  
R. Shreyas ◽  
B. V. Pradeep Kumar ◽  
H. B. Adithya ◽  
B. Padmaja ◽  
M. P. Sunil
Keyword(s):  
Monitoring System ◽  
Rule Violation ◽  
Dynamic Traffic ◽  
Traffic Rule

scholarly journals Traffic Violation Detection using Principal Component Analysis and Viola Jones Algorithms

2019 ◽  
Vol 8 (3) ◽  
pp. 5549-5555
Keyword(s):  
Principal Component Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Rule Violation ◽  
Face Features ◽  
The Face ◽  
Principal Component Analysis Algorithm ◽  
Traffic Violation ◽  
Pca Algorithm ◽  
Traffic Rule

This paper describes an application to detect traffic rule violation using principal component analysis algorithm(PCA).The proposed system will detect crowded bikes using PCA and Viola Johnson algorithms. The viola-Jones computation is seen as convincing in order to check and focus the face features. The face acknowledgment is strategy of perceiving region of face from a picture of one or different individuals together. The perceived face is removed in the proposed using the viola-Jones estimation. This application uses camera to recognize the amount of faces in the edge which identifies with number of people going in a bike. As indicated by the organization controls only two adults or two adults and one adolescent are permitted to go in a bike. We use Violo Johnes and PCA Algorithm to perceive the appearances to choose the amount of faces in the edge. Consequently the endeavor derives that through this structure we execute OCR to check the number plate to recognize the bike liberating with numerous people. This is a customized system to keep up a vital good ways from the accident by driving past the limited part on bike. At the point when our system perceives the over-trouble vehicle, the number plate of the vehicles is discovered using OCR.

scholarly journals Traffic Rule Violation Monitoring and Reporting System

2019 ◽  
Vol 8 (9) ◽  
pp. 1916-1919
Keyword(s):  
Reporting System ◽  
The Other ◽  
Control Room ◽  
Rule Violation ◽  
The People ◽  
Traffic Rule

In India Road mishaps are expanding step by step thus there is a need to plan a framework that permits identifying Vehicle moving in the Wrong Route. Physically checking is tedious errand. So to conquer this issue another proposed framework is planned which does not require any human capture. It will discover the vehicle which in Moving in the Wrong Rout and furthermore sends vehicle number to Vehicle client to decrease the opportunity of accidents. In the fundamental streets a portion of the people will picks the alternate way path as the single direction course, Due to this the mishaps may cause. This undertaking comprises of picture preparing for discover vehicle which in Moving in the Wrong Route and discover number plate. Utilizing GSM sent SMS to Control Room. The primary point of this venture is to identify the vehicles which are moving the other way

Monitoring des Arzneimittelmissbrauchs 2006 bei Klienten von Suchtberatungsstellen (PHAR-MON)

2007 ◽  
Vol 53 (7) ◽  
pp. 65-77 ◽  
Author(s):  
Susanne Roesner ◽  
Heinrich Küfner
Keyword(s):  
Monitoring System

<span class="fett">Hintergrund und Zielsetzung:</span> PHAR-MON ist ein Monitoring-System, das die auf dem deutschen Markt befindlichen Arzneimittel in ihrer Bedeutung für die Entwicklung von Missbrauch und Abhängigkeit in Suchtberatungsstellen überwacht. </p><p> <span class="fett">Methodik:</span> Klienten ambulanter Beratungsstellen werden im Rahmen der Standarddokumentation zu ihrem Arzneimittelkonsum befragt und Fälle eines abhängigen Konsums, eines schädlichen Gebrauchs oder eines Missbrauchs in PHAR-MON dokumentiert. </p><p> <span class="fett">Ergebnisse:</span> Im Jahr 2006 wurden insgesamt 448 Meldungen von 276 überwiegend alkohol- und drogenabhängigen Klienten in das Monitoring einbezogen. Tranquilizer vom Benzodiazepin-Typ wurden in allen Klientengruppen mit Anteilen zwischen 29,1 % und 35,3 % am häufigsten dokumentiert. An benzodiazepinabhängige Klienten werden zunehmend auch Nicht-Benzodiazepin-Hypnotika verordnet. Bei opioidabhängigen Klienten war im Zeitraum der letzten fünf Jahre ein Anstieg im missbräuchlichen Substitutionsmittelkonsum von 14,9 % auf 33,8 % zu verzeichnen. </p><p> <span class="fett">Schlussfolgerungen:</span> Das Risiko gefährlicher Wechselwirkungen zwischen Arzneimitteln mit Alkohol und Drogen sollte stärker als bisher in die ärztliche Verordnungsentscheidung einbezogen werden.

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