Traffic Flow Video Detection System Based on Line Scan CMOS Sensor

2012 ◽  
Vol 7 (1) ◽  
pp. 478-483 ◽  
Author(s):  
Zhanwen Liu ◽  
Shan Lin ◽  
Kunlun Li ◽  
Anguo Dong
Keyword(s):  
Traffic Flow ◽  
Detection System ◽  
Line Scan ◽  
Cmos Sensor ◽  
Video Detection ◽  
On Line

Design of On-Line Detection System for Paper Defects Based on Line-Scan Camera

2014 ◽  
Vol 536-537 ◽  
pp. 268-271
Author(s):  
Ping He ◽  
Chao Liu ◽  
Meng Wang ◽  
Sheng Mei Cao
Keyword(s):  
High Efficiency ◽  
Detection System ◽  
Low Cost ◽  
Digital Camera ◽  
Line Detection ◽  
Detection Scheme ◽  
Line Scan ◽  
On Line ◽  
Increasing Demand ◽  
Technology Level

Paper defects mean that there are some defects in the paper such as hole, emboss, and fold during the paper production, which mainly results from the limitation of technological level. In the past time, artificial visual inspection and off-line checking were often used to detect the paper defects. However, its shortcoming was highlighted along with the improvement of industrial technology level and increasing demand for paper. In order to realize the online detection and markers for paper defects, the project designs the on-line detection system based on line-scan digital camera. Firstly, the principle and detection scheme of the system for the paper defects was presented. Then the overall structure of the system was designed. After that, the hardware circuit of the system was designed using TMS320F2812 as main control chip. It mainly consists of the function of each module and the working process of the system. Finally, the software of the image acquisition system was presented. With the experimental verification, the system has advantages of low cost, high efficiency and strong resistance to interference. The functions and indexes achieved the design requirements.

A Novel Video Detection System on Traffic Flow Inspection

2012 ◽  
Vol 182-183 ◽  
pp. 440-444
Author(s):  
Zhan Wen Liu ◽  
Shan Lin ◽  
Sheng Gen Dou
Keyword(s):  
Image Segmentation ◽  
Traffic Flow ◽  
Clustering Algorithm ◽  
Dynamic Range ◽  
Detection System ◽  
Image Data ◽  
Image Sensor ◽  
Imaging Device ◽  
The Core ◽  
Video Detection

A prototype of video detection system applied to traffic flow inspection is developed, which uses CMOS linear image sensor with high resolution 2K pixels and wide dynamic range as the core of imaging device. It combines FPGA with DSP as the core of acquisition and processing of massive image data. Moreover, a novel multiscale and hierarchical clustering algorithm for image segmentation is presented. Based on the theory of graph spectral, the algorithm can construct a new graph by analyzing the feature of an original image at different clustering scales, so that image segmentation can be accomplished easily to segment the image. The simulation results show that the row scan speed of this system can reach to 1000 lines per second, the resolution being 2048 pixels.

Based on line scan CCD print image detection system

2015 ◽  
Author(s):  
Lifeng Zhang ◽  
Kai Xie ◽  
Tong Li
Keyword(s):  
Detection System ◽  
Image Detection ◽  
Line Scan ◽  
On Line

Multi-lane traffic flow monitoring and detection system based on video detection

2020 ◽  
Vol 38 (2) ◽  
pp. 1287-1298
Author(s):  
Xue Liu ◽  
Xiaowei Wang ◽  
Zhaosheng Yang
Keyword(s):  
Traffic Flow ◽  
Detection System ◽  
Flow Monitoring ◽  
Video Detection

On-Line Measuring System for Urban Highway Traffic Flow Based on Video Detection Technique

2010 ◽  
Vol 108-111 ◽  
pp. 713-717
Author(s):  
Chen Ning
Keyword(s):  
Traffic Flow ◽  
Recognition Rate ◽  
Transportation Systems ◽  
Detection Technique ◽  
Measuring System ◽  
Highway Traffic ◽  
Horizontal Projection ◽  
Moving Vehicle ◽  
Video Detection ◽  
On Line

In intelligent transportation systems (ITS) for urban highway-nets, the data of traffic flow is very important to control and lead to traffic. According to chromatic aberration between vehicles and road surfaces in images caught from moving vehicles, a new method is proposed to analyze on-line traffic states based on video detection technique. firstly video for 10 frame/second sampling, difference operation of same region of two neighbored image is used to detect moving vehicle very quickly on measurement strap; secondly the result of difference was grayed ,horizontal projection and adaptive threshold methods are adopted to recognize moving vehicle and type of vehicle by statistical analysis, which is very expedient, accurate and quick. The results of experiments show that the correct recognition rate of this system reaches up to 96%.And the combination of phase control of road control, which can intelligent lead to traffic by on-line and satisfies the requirements of practical application.

Driving Mode at Pothole-Subsidence Pavement Based on Wheel Path

2012 ◽  
Vol 524-527 ◽  
pp. 847-851 ◽  
Author(s):  
Yu Long Pei ◽  
Cheng Yuan Mao ◽  
Mo Song
Keyword(s):  
Traffic Flow ◽  
Detection System ◽  
Asphalt Pavement ◽  
Average Rate ◽  
Driving Mode ◽  
Road Section ◽  
Lateral Distance ◽  
Video Detection ◽  
Normal Diameter ◽  
Vehicle Trajectory

Considering the fact that the forms of asphalt pavement potholes, subsidence and cement pavement potholes (collectively defined as pavement pothole-subsidence) are similar and they can influence traffic flow significantly, we put forward to use indexes such as Tangential Diameter Length, Normal Diameter Length, Depth, Lateral distance, etc to describe the characteristics of pothole-subsidence, and we also adopt AutoScope-2004 video detection system aided by artificial judging to investigate in the surveyed road section. According to different wheel paths, driving modes was classified into three types, influences of various pothole-subsidence on driving mode and speed was analyzed. We came up with conclusions as follows: one is that pothole-subsidence significantly influenced the variation of vehicle trajectory, 78.5% vehicles altered their driving direction, and the average rate of speed descent is over 20%.

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