scholarly journals ITLCS Based on OpenCV Image Processing Technology

2021 ◽  
Vol 2143 (1) ◽  
pp. 012031
Author(s):  
Suning Gong ◽  
Zhiying Huan ◽  
Mingmei JI ◽  
Xinxin Chen ◽  
Yuanqiu Bao
Keyword(s):  
Image Processing ◽  
Control System ◽  
Traffic Congestion ◽  
Light Signal ◽  
Traffic Signal ◽  
Processing Technology ◽  
Motor Vehicles ◽  
Traffic Light ◽  
Road Density ◽  
Image Processing Technology

Abstract With the rapid growth of the number of motor vehicles in the city, traffic congestion is more serious every day, part of it is caused by the coding delay with the red light on, not real traffic jams, now we need a control system that can really change the traffic flow. In this paper, ITLCS (intelligent traffic signal control system) based on OpenCV image processing technology is proposed to adjust the timing of traffic signal according to road density, instead of setting a level that is balanced with other lanes, so that high-load traffic lanes can be used for a long time. The camera facing the roadway in the system takes pictures of the driving route, then takes pictures of the driving density of pedestrians and vehicles, and compares each image through processing technology, after the system is processed, the traffic light signal timing can be adjusted immediately, which greatly reduces the time spent on the inactive green light and can effectively deal with the traffic congestion problem.

Researches on Image Processing Technology Used in Bamboo Weaving Machine

2011 ◽  
Vol 204-210 ◽  
pp. 1070-1073
Author(s):  
Lei Zhang ◽  
Hong Li Gao ◽  
Ming Heng Xu ◽  
Shi De Xiao ◽  
Peng Du
Keyword(s):  
Image Processing ◽  
Control System ◽  
Automatic Control ◽  
Automatic Control System ◽  
Rational Interpolation ◽  
Processing Technology ◽  
Minimum Width ◽  
Weft Direction ◽  
Image Processing Technology ◽  
Short Time

A new bamboo weaving machine, in which automatic control system is employed, is introduced in this paper. The system deals with the images firstly, and then controls bamboo weaving by means of electromotor and transmission devices. Different algorithms, such as lift wavelet, bivariate rational interpolation and Ostu are used in image processing. The minimum width of the bamboo filament is 0.7mm. The maximum number of the bamboo filament in the warp and weft direction is 360 and 430 respectively. Various beautiful bamboo artware can be weaved automatically by this machine in a short time.

scholarly journals Adaptive Traffic Light Control Based on Actual Condition Using Google Map API

2019 ◽  
Vol 3 (2) ◽  
pp. 61
Author(s):  
Adi Sabwa Isti Besari Arkanuddin ◽  
Selo Sulistyo ◽  
Anugerah Galang Persada
Keyword(s):  
Control System ◽  
Traffic Control ◽  
Traffic Congestion ◽  
Actual Condition ◽  
Light Control ◽  
Traffic Light ◽  
Road Density ◽  
Traffic Light Control ◽  
Traffic Control System ◽  
Google Map Api

Traffic congestion is one of the main problems in transportation sector and it causes a lot of drawbacks to public. The traffic light system is used to reduce the level of occurring traffic congestion. Generally, the available traffic light systems use a fixed time setting. This old traffic control system is no longer able to manage the ever-changing traffic conditions effectively and efficiently, causing a long queue of vehicles. To overcome this problem, a traffic light control system that can adapt to actual conditions of road density and can run automatically is offered. This system utilizes Google Map API as a road density data source. The result of this study is a traffic control system that can adjust the green light time duration based on the obtained density values and density trends, simulation of this adaptive system as well as simulation results analysis. A prototype of this adaptive control system was also produced in this study.

Research on the Design of Intelligent Access Control System Based on Radio Frequency Technology and Image Processing Technology

2013 ◽  
Vol 791-793 ◽  
pp. 1987-1991
Author(s):  
Hui Ding
Keyword(s):  
Image Processing ◽  
Control System ◽  
Access Control ◽  
Radio Frequency ◽  
Communication Technology ◽  
Computer Technology ◽  
Research Topic ◽  
Processing Technology ◽  
Image Processing Technology ◽  
Access Control System

With the continually development of computer technology and modern communication technology, radio frequency technology and image processing technology become the important component of modern security system. In particular, the application of the intelligent access control system of the two technologies becomes a hot research topic in the field. This article first briefly analyzes the principle of radio frequency technology and establishes intelligent access control system based on radio frequency technology and image processing technology. It analyzes the theory and application compatibility of this system which provides technical support and theoretical basic for the researches in this field to some extent.

Design of Lighting Intelligent Control System Based on OpenCV Image Processing Technology

2021 ◽  
Vol 29 (Supp01) ◽  
pp. 119-139
Author(s):  
Suning Gong ◽  
Rakesh Kumar ◽  
D. Kumutha
Keyword(s):  
Image Processing ◽  
Control System ◽  
Traffic Flow ◽  
Public Transportation ◽  
Traffic Control ◽  
Urban Areas ◽  
Light Signal ◽  
Image Processing Technique ◽  
Traffic Density ◽  
Traffic Light

The high growth of vehicular travel in urban areas, in particular, requires a traffic control system that optimizes traffic flow efficiency. Traffic congestion can also occur by large de-lays in Red Light etc. The delay in lighting is difficult to code and does not rely on real traffic density. It follows that traffic controls are simulated and configured to better meet this rising demand. So, in order to avoid the traffic control problem, the Adaptive Intelligent Traffic Light control system (AITLCS) has been proposed based on OpenCV and Image processing technique. The system proposed is designed to ensure smooth and efficient traffic flow for daily life as well as emergency and public transportation safety. Based on the road density instead of the levels set the proposed system provides the timing for the traffic light signal so that a highly loaded side switched on over long periods compared with the other lanes. It can also be used at an intersection with traffic signs, which controls the traffic light signal at the intersection. If timers are smart to predict the exact time, the system is more efficient because it reduces the time spent on unintended green signal significantly. With the help of OpenCV software, this paper aims to have a signal management SMART solution that will be cost-effective at the end. The system consists of a camera facing a lane taking pictures of the route we want to travel and then the density of the pedestrian and vehicle is taken and compared with each image employing image processing. Such images are processed effectively to learn the density of traffic.

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