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

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.

2013 ◽  
Vol 791-793 ◽  
pp. 1987-1991
Author(s):  
Hui Ding

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.


2021 ◽  
Vol 2143 (1) ◽  
pp. 012031
Author(s):  
Suning Gong ◽  
Zhiying Huan ◽  
Mingmei JI ◽  
Xinxin Chen ◽  
Yuanqiu Bao

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.


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