scholarly journals Multithreading Application for Counting Vehicle by Using Background Subtraction Method

2020 ◽  
Vol 14 (3) ◽  
pp. 309
Author(s):  
Yohanssen Pratama ◽  
Puspoko Ponco Ratno
Keyword(s):  
Data Acquisition ◽  
Real Time ◽  
Video Processing ◽  
Intelligent Transportation System ◽  
Road Traffic ◽  
Ccd Camera ◽  
Acquisition Time ◽  
Application Performance ◽  
Typical Application ◽  
Before And After

Image and video processing has become important part in intelligent transportation system (ITS) application, especially for collecting road traffic data. Pictures that already collected by a charged coupled device (CCD) camera usually being processed by several image processing algorithms and the application’s code will be executed in a large number of iteration because many algorithms are getting involved in processing the frame which captured by the camera. Typical application will process the first frame until finish and then continue to the next frame, so the application must wait until the first frame being processed. If the algorithms that executed quite complex and have a significant running time there will be a dropped frame and the time difference between data acquisition and real time video is divided by large margin. We proposed an implementation of multithreading to boost the application performance so the data can be acquire in real time and every new frame could be processed in short time. The application performance before and after using a multithreading is known by comparing the data acquisition time that stored in the database. The application effectiveness could define by running a multiple video streaming in same resolution.

scholarly journals TEM Random & Ultra-fast Precession ED Tomography for analysis of nm crystals

2014 ◽  
Vol 70 (a1) ◽  
pp. C371-C371 ◽  
Author(s):  
Stavros Nicolopoulos ◽  
Mauro Gemmi ◽  
Alexander Eggeman ◽  
Paul Midgley ◽  
Athanassios Galanis
Keyword(s):  
Electron Microscopy ◽  
Electron Diffraction ◽  
Data Acquisition ◽  
Automatic Measurement ◽  
Ccd Camera ◽  
Acquisition Time ◽  
Diffraction Tomography ◽  
Organic Pigments ◽  
Precession Electron Diffraction ◽  
Data Acquisition Time

Since the invention of Precession Electron Diffraction (PED) in Transmission Electron Microscopy (TEM) by Vincent & Midgley [1] in 1994 and mainly after the introduction of dedicated PED devices to different TEM, the structure of various nano-sized crystals have been solved by Electron Crystalography. The most popular technique that was recently developed based on beam precession is the 3D Precession Diffraction Tomography (PEDT) [2]. A series of ED patterns are collected every 10while the sample is tilted around the goniometer axis. By the automatic measurement of ED intensities (ADT 3D software), the unit cell, crystal symmetry and the detailed crystal structure can be determined. A large number of crystal structures, such as complex metals, alloys, organic pigments, MOF, catalysts etc., have been solved by the 3D PEDT technique. A drawback of 3D PEDT (especially for beam sensitive materials) is the long acquisition times (45–120 min), due to the time consuming step of tracking the crystal under the beam during tilting. To deal with this problem, we have developed two novel approaches: the Random Electron Diffraction Tomography (rPEDT) technique and the Ultra-Fast 3D diffraction tomography (UF PEDT) [3]. By rPEDT technique, a sample area (few microns), where several crystals in different (random) orientations are present, is scanned rapidly using an ASTAR precession device (NanoMEGAS SPRL). PED patterns of all scanned crystals are collected by a fast speed CCD camera (up to 120 frames/sec; 8/12 bit). Concerning UF PEDT, the data acquisition time can be 10-20 times faster compared to hitherto 3D PEDT procedure. UF PEDT can be applied when the crystal shift is stable and reproducible during tilting the sample for a specific tilt range. Thus, such crystals can be tracked by shifting the beam following the crystal displacement during tilting (using ASTAR beam scanning). Obtained PED patterns can be recorded with a fast CCD camera, while crystal is tilted. As a conclusion, rPEDT and UF-PEDT can be considered as breakthrough techniques in electron crystallography as they can be performed in any commercial TEM. Both techniques reduce considerable 3D intensity data acquisition time, and allow the analysis of unknown compounds, including beam sensitive organic crystals, as fast techniques prevents crystal beam damage. The authors acknowledge financial support from EU ESTEEM-2 project (European Network for Electron Microscopy www.esteem2.eu).

Real Time Defects of Beer Bottle Detection System Based on DSP

2008 ◽  
Vol 392-394 ◽  
pp. 414-418 ◽  
Author(s):  
B. Ren ◽  
Tan Cheng Xie ◽  
X. Nan
Keyword(s):  
Real Time ◽  
Video Processing ◽  
Detection System ◽  
Processing System ◽  
Ccd Camera ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Experimental Result ◽  
Detection Techniques ◽  
Video Images

The paper analyses the problem of beer bottles detection techniques on the beer bottles production line, uses digital image processing technique on the beer bottles online defect detection. The paper puts forward the designing ideas of the hardware, developing flow of the software and the algorithm of beer bottles detection. TMSDM642 is used to set up the real-time video processing system of the hardware .The hardware system is mainly composed of three parts: the part of memory, the part of the input and the part of the output. When beer bottles are put into the work area, the video images of the bottle-mouth and bottle-bottom will be gained by the CCD camera, firstly, preprocessing is used to eliminate video image noise. Secondly, the image segmentation algorithm is used to detect defects in video images. Lastly the goal of extracting defects will be accomplished. The experimental result indicated that this system may effectively exam the flaw or the unqualified beer bottles.

scholarly journals A Method for Traffic Calming Using Radio Transmitter

2017 ◽  
Vol 2017 ◽  
pp. 1-9
Author(s):  
Amin Mirza Boroujerdian ◽  
Samane Sheikhy
Keyword(s):  
Video Processing ◽  
Intelligent Transportation System ◽  
Transportation Safety ◽  
Speed Limit ◽  
Speed Reduction ◽  
Traffic Calming ◽  
Innovative Methods ◽  
Before And After ◽  
Voice Message ◽  
Major Factors

Excessive speed is one of the major factors in transportation safety assessment and is influenced by road geometric design, vehicle properties, and driving pattern. Exploiting innovative methods along with the conventional ones has been proven to be effective in road safety to control the speed limit. In this study, a supplementary tool is introduced to help drivers to observe the speed limit. In line with this objective, the effectiveness of Voice Sign System (VSS) as an Intelligent Transportation System is evaluated. In order to measure the speed, video processing software is used. Moreover, SPSS is utilized to perform statistical analysis and compare upstream and downstream speeds before and after a message transmission. The study is conducted in Yadegar-e-Imam expressway, located in Tehran, to evaluate the effectiveness of a voice message. The message reads as follows: “Observe the Speed Limit.” The results reveal that VSS is an effective tool for speed reduction as well as the speed limit observation in expressways. The study shows that the speed is reduced by 18% on average, and speed limit observation is improved by 46.5%, out of which 18.2% is direct and 28.3% is indirect influence of VSS.

Image Processing and Recognition System Based on DaVinci Technology for Coal and Gangue

2011 ◽  
Vol 130-134 ◽  
pp. 2107-2110 ◽  
Author(s):  
Yi Ding Zhao ◽  
Ming Feng Sun
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Video Processing ◽  
High Performance ◽  
Ccd Camera ◽  
Recognition System ◽  
Auxiliary Equipment ◽  
Digital Video Processing ◽  
Real Time Image ◽  
Time Image

In this paper, an image processing and recognition system of the coal and gangue has been studied. We adopt digital video processing technology of high performance---DaVinci technology to design the system, which is made up by the chip DM6437 and some peripheral auxiliary equipment. The system takes advantage of the high performance of the chip to process the real-time image collected by the CCD camera. The system uses optimized image processing and recognition algorithms, and makes the recognition of coal and gangue by the different characteristic of their histograms. In the system, the histogram and processing image of coal and gangue can be displayed on the monitor.

scholarly journals Integrated Multi-Sensor Real Time Pile Positioning Model and Its Application for Sea Piling

2020 ◽  
Vol 12 (19) ◽  
pp. 3227
Author(s):  
Yilin Xie ◽  
Qing Wang ◽  
Lianbi Yao ◽  
Xiaolin Meng ◽  
Yusong Yang
Keyword(s):  
Real Time ◽  
Ccd Camera ◽  
Satellite System ◽  
Scale Invariant ◽  
Sift Algorithm ◽  
Before And After ◽  
Positioning Method ◽  
Global Navigation Satellite ◽  
The Right ◽  
Structural Engineers

The traditional pile positioning method for offshore piling uses the intersection of lines of sight with two or three theodolites. This method has certain limits, including using post-mission pile positioning, being time-consuming and lacking position accuracy. A novel pile positioning model using four kinds of sensors (GNSS—Global Navigation Satellite System receivers, tiltmeters, laser rangefinders and calibrated CCD cameras) for sea piling was developed. Firstly, with Real Time Kinematics (RTK) GNSS and tiltmeter data, the piling ship’s position and attitude was achieved in real time, and then the coordinates of the pile center in the Ship Fixed Coordinate System (SFCS) were calculated by a laser rangefinder and a CCD camera data. Finally, using the coordinate transformation, the coordinates of the pile center construction were figured out and used to guide the pile movement to the right place in real time. Because of the poor RTK GNSS vertical accuracy (normally 2–3 cm) and complex piling ship structure, it is difficult to get the accurate penetration value per hammering, which is a very important parameter for structural engineers. A Scale Invariant Feature Transform (SIFT) algorithm was created to get the pixel difference between the two pile images captured before and after one hammering, respectively, which was then used to calculate the penetration. A case study on the piling ship named “YangShanHao” with the sensors and algorithms was also described and discussed in the paper. The results showed the high accuracy of the proposed position model and the pile sinking distance of the pixel, thanks to the SIFT algorithm.

Analysis of Finger Joint Kinematics Before and After MCP Joint Arthroplasty

2003 ◽  
Author(s):  
David McNeal ◽  
Bassem elHassan ◽  
Farid Amirouche ◽  
Mark Gonzalez
Keyword(s):  
Data Acquisition ◽  
Range Of Motion ◽  
Real Time ◽  
Hand Function ◽  
Joint Arthroplasty ◽  
Joint Position ◽  
Time Data ◽  
Real Time Data ◽  
Before And After ◽  
Fresh Frozen

The purpose of this study is to assess the kinematical changes in the flexion of the finger joints after MCP arthroplasty. Angular joint position in relation to its corresponding excursion was used to quantify the kinematics of the finger. The assessment used real time data acquisition and fresh-frozen cadaver hands. Several important benchmarks were considered in analyzing the data. First of all, the initiation of the digit was considered. When a tendon is pulled, motion is normally observed in the DIP first, followed by the PIP, and finally the MCP. This order should be maintained after the arthroplasty. For our kinematics study, it is also important to note any significant increase or decrease in the time of the initiation. Other benchmarks we considered include the starting and ending angle of the joints. The start and ending angle is important when studying the overall range of motion of the digit. The overall range of motion affects basic hand function and is one measure of successful arthroplasty. Excursion was also considered as an overall measure of how well the prosthesis mimics the original joint. Large changes in excursion could indicate that the original center of rotation has not been maintained.

A real-time push system on road traffic information

2014 ◽  
Author(s):  
Yang Xu ◽  
Zhang Zhenjiang ◽  
Liu Yun
Keyword(s):  
Real Time ◽  
Road Traffic ◽  
Traffic Information
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