Application of machine vision to traffic monitoring and control

1989 ◽  
Vol 38 (3) ◽  
pp. 112-122 ◽  
Author(s):  
R.M. Inigo
Keyword(s):  
Machine Vision ◽  
Traffic Monitoring ◽  
Monitoring And Control ◽  
And Control

Cloud-Driven Traffic Monitoring and Control Based on Smart Virtual Infrastructure

2017 ◽  
Author(s):  
Vladimir Hahanov ◽  
Wajeb Gharibi ◽  
Eugenia Litvinova ◽  
Svitlana Chumachenko ◽  
Arthur Ziarmand ◽  
...  
Keyword(s):  
Traffic Monitoring ◽  
Monitoring And Control ◽  
Virtual Infrastructure ◽  
And Control

scholarly journals Automatic Number Plate Recognition System Using Optical Character Recognition

2019 ◽  
pp. 986-992 ◽  
Author(s):  
Monika Arora ◽  
Anubha Jain ◽  
Shubham Rustagi ◽  
Tushar Yadav
Keyword(s):  
Embedded System ◽  
Character Recognition ◽  
Optical Character Recognition ◽  
Recognition System ◽  
Traffic Monitoring ◽  
Monitoring And Control ◽  
Monitoring And Control System ◽  
Vehicle Owner ◽  
Optical Character ◽  
And Control

In the last few decades, the number of active vehicle population has increased drastically which has made it difficult for the authorities to keep a track of them as well as to identify the vehicle owner in case of any traffic violation. Automatic Number Plate Recognition System (ANPR) is a real-time machine-intelligent and embedded system which identifies the characters directly from the image of the number plate. Due to crucial research and development of technology and the increasing use of vehicles, the need for a machine-oriented recognition and monitoring system is of immense importance. The technology has become a major requirement and is playing a crucial role in a vast sea of applications related to automated transport monitoring and control system such as traffic monitoring, challan management, detection of stolen vehicles, electronic payment of tolls on highways or bridges, parking lots access control, etc. This technology requires extensive mobility and station flexibility which causes it to be installed on such hardware that is very mobile enough so that the operator can use it very efficiently. ANPR System through the use of Optical Character Recognition (OCR) makes the system to be used as an application on smartphones. This provides the operator to use the system and identify number plates by just capturing the image and processing by neural networks working in the background of OCR. The ANPR system as a whole will result in easy and safe monitoring of the traffic and to keep an easy record in case of any violation. Also, it will save individuals to save their time in standing at long queues at toll taxes and paying cash which will be done with the ANPR system and using E-wallet.

scholarly journals Traffic Monitoring Using Cloud Computing and RFID Technology

2021 ◽  
Vol 25 (1) ◽  
pp. 19-25
Author(s):  
Bartosz Pawłowicz ◽  
Mateusz Salach ◽  
Bartosz Trybus ◽  
Konrad Żak
Keyword(s):  
Traffic Control ◽  
Traffic Monitoring ◽  
Control Algorithms ◽  
Rfid Technology ◽  
Monitoring And Control ◽  
Street Traffic ◽  
Control Devices ◽  
And Control ◽  
Exhaust Gas Emissions ◽  
Special Meaning

The article presents the architecture and implementation of a street traffic monitoring system. It uses RFID identifiers to recognize vehicles, including special meaning, such as ambulances, city buses, vehicles with reduced exhaust gas emissions. Traffic data is sent to the IoT Hub service in the Azure cloud. On their basis, road situations are analyzed and decisions are made regarding traffic control. Control information is fed back to traffic control devices by means of street lights, barriers, information boards. The article describes the method of communication with the computing cloud and the possibilities of implementing traffic monitoring and control algorithms using IoT Hub.

Cloud traffic monitoring and control

2013 ◽  
Author(s):  
Vladimir Hahanov ◽  
Wajeb Gharibi ◽  
Baghdadi Ammar Awni Abbas ◽  
Svetlana Chumachenko ◽  
Olesya Guz ◽  
...  
Keyword(s):  
Traffic Monitoring ◽  
Monitoring And Control ◽  
And Control
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