FPGA Implementation and Evaluation of a Real-Time Image-Based Vibration Detection System with Adaptive Filtering

2020 ◽  
Vol E103.A (12) ◽  
pp. 1472-1480
Author(s):  
Taito MANABE ◽  
Kazuya UETSUHARA ◽  
Akane TAHARA ◽  
Yuichiro SHIBATA
Keyword(s):  
Real Time ◽  
Adaptive Filtering ◽  
Detection System ◽  
Fpga Implementation ◽  
Vibration Detection ◽  
Real Time Image ◽  
Time Image

scholarly journals Image Processing Based Intelligent Traffic Controller

2012 ◽  
pp. 13-17
Author(s):  
Vikramaditya Dangi ◽  
Amol Parab ◽  
Kshitij Pawar ◽  
S.S Rathod
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Traffic Management ◽  
Detection System ◽  
Emergency Vehicle ◽  
Pollution Levels ◽  
Real Time Image ◽  
Wide Scale ◽  
Traffic Management System ◽  
Time Image

The frequent traffic jams at major junctions call for an efficient traffic management system in place. The resulting wastage of time and increase in pollution levels can be eliminated on a city-wide scale by these systems. The paper proposes to implement an intelligent traffic controller using real time image processing. The image sequences from a camera are analyzed using various edge detection and object counting methods to obtain the most efficient technique. Subsequently, the number of vehicles at the intersection is evaluated and traffic is efficiently managed. The paper also proposes to implement a real-time emergency vehicle detection system. In case an emergency vehicle is detected, the lane is given priority over all the others.

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