Head Count System Using Artificial Intelligence Method Information Technology Essay

dot Count System use Artificial Intelligence Method Information Technology Essay come upThis report is developing the formulate called Head Count System utilise Artificial Intelligence Method. This report compresses the introduction, belles-lettres re muckle, method actingology, suffer design, closure and discussion, put up management and conclusion of the take to.For the starting of this report, in that location provide shows more than(prenominal) on the products ( brainiac count arranging) description, background, aims and objective. Next, this report attempt come forward discuss more on the products fate much(prenominal) as hardw ar and bundle. There pass on research or survey on the hardware and packet those git be causal agent on designing the product. afterward the research or survey, this report depart include details more into the specification of this drift. several(prenominal) discussion go forth also be done on the ashess computer computer schedulemeing code, dimension of the hardware, and the liaisoning incision and c subject that are chosen to use.The key point of this confound is on the artificial intelligence. Fuzzy logic, uneasy entanglement, neurofuzzy, induction algorithmic rules and genetic algorithms are the emblem of the artificial intelligence engine. This report will discuss on the structure, method and application behind the absolute artificial intelligence engine in literature review. Furthermore, the detail discussion on neural network programme such(prenominal) as Hopfield network and harbor vector machine will carry out in the methodology. Some of the ensure processing programming will explained in that chapter too. later all the basic theory and methodology, the substantive work on designing this project will proceed in project design. There got three main programming those are attend acquisition, network and counting form will elaborate in take to the woods chart and mannequin. Al l the investigate run and discussion on this project will call down in the following chapter too.Finally, the conclusion will stop all the processes on research, design and building for this project in the polish off of the report. In the conclusion, the achievement, distribution and weakness of this project will state out too. With the recommendation as the ending of this report, this project is hoping can be change in future development.IntroductionHead count system is employ in everywhere and any time in the reality life. figuring the amount of drumhead counts is a must since the world started no be in which occasion such as lecture halls, parties, ballrooms and so on. Nowadays, there is still use a traditional ways to wee-wee the full amount of the head count. The ways are using such care count one by one manually by a person assigned tick attendance using paper to personality down and so on. Otherwise, some advance ways to get the head count such as using smart c ard to get the head count through a manually scanning thingamabob manually balk in through a control server and so on.Following the trend of the technology grown, a lot of mechanisation products redeem been created or designed. These kinds of products are now available in the merchandise to cringe the idle of time and faculty on unnecessary purposes. If the head count system also can detect or interference the amount of head count mechanically, there will be change magnitude the efficiency of work and prevent the resource is wasted. 1Background of the projectHead Count System using Artificial Intelligence Method is designed and developed head count system that is able to intelligently check the total payoff of head counts entering or exiting an enclosed location. This system can automatically determine the number of head count by using sensors and combination with artificial intelligence engine. So, this project will be built based on software and hardware too. Some more t he interfacing subterfuge is needed for this project to link up the hardware adopt to computer. This is because the artificial intelligence programming will write in software in computer and the input of sensor will direct get through the interfacing device.MethodologyAfter the literature review on the project is done, the specification of the project is decided. This project will be use MATLAB as the programmer to write the code of Neural Network which is one of the AI engine, as the software part. Be slopes that, USB dividing line is chosen as the interfacing device to link the software and hardware. The hardware of this project is built by thermic imaginativeness camera 13Thermal Imaging CameraAll materials, which are supra 0 degrees Kelvin (-273 degrees C), emit infrared heartiness. The infrared energy emitted from the measured object is converted into an electrical signal by the imaging sensor (microbolometer) in the camera and displayed on a monitor as a color or monochro me caloric range of a function. 23Infrared is a form of electromagnetic radiation, radio waves, microwaves, ultravio allow, visible loose, X-rays and gamma rays the same. All of these forms in concert constitute the electromagnetic spectrum, are similar, the speed of light they emit energy in the form of electromagnetic waves despicable. Each other band in the spectrum of the main difference is their wavelength, and the related amount of wave energy to carry. For example, bit gamma ray wavelengths than visible light millions of times smaller, the wavelength of radio waves oer a billion times is visible. 23With the technical explanations above, there show that thermal imaging camera is not affect by any light level and it is better than a normal camera by this point. utilize thermal imaging camera in this project will reduce the faulty cause by light level to minimum.MATLABMATLAB is a high-ranking language of technical computing. MATLAB can utilise to wide application, includ ing stunt woman processing, expectant processing, financial analysis, control design, and data communications. In hear processing, both 2-D and three-D graphical image is able to service. Using MATLAB, technical computing problems can be solved faster than using traditional programming languages, such as C and C++. Besides that, inside MATLAB software contains a lot of useful toolbox. All the toolbox can be link up and federal agency together. While programming in MATLAB, if any function command that not familiar can be get more information on that command by typing help followed with the command. With entire advantages shown above, MATLAB is chosen as the software platform for this project. 21MATLAB is the platform using to running on all the sample method programming shown above. From the root on examen neural network sample programming, single-layer perceptron and multi-layer perceptron are good in use on data pattern classification. Hopfield network is suitable in image restore application. Then support vector machines and kernel function are used in pattern analysis especially in demo sleuthing system. For image processing sample programming, Kirsch edge detection and canny edge detection are good edge spy solving. Shape recognition can be use Houdorff-based image semblance to implement. Gabor function can be applied with support vector machines for face detection. Lastly, one-dimensional Gaussion function is used in signal processing, but in image processing where two-dimensional Gaussian can be apply to it.After some preliminary work on so galore(postnominal) programming, the Support Vector Machines has been chosen as the design programming on this project. The programming shown above is just the major of the programming linking with this project. The main agreement chosen Support Vector Machines is this network combine both neural network and image processing method.Result and DiscussionIn this project result and discussion, the three ma in parts will be discussed in detail on the result. The three main parts are image acquisition able to get the input from sensor, train the network with support vector machines deally with no error and headcount system able count correctly.Figure 9 show the result on image acquisitionFor the image acquisition programming, it can test with PC camera. PC camera is set as the input in the programming. Right-hand side image on reckon 9 at above shows the view point of the camera afterwards the program is started. If there got any effort occurred in the view point of the camera, the image will be captured. left field side image on figure 9 at above shows the result of captured image after motion occurred. The discussion above state all the basic function on this program and the result will show as figure in the real project.Figure 10 show the result on main program on creating networkFigure 10 at above show the result after run the programming of support vector machines. The right-h and(a) side of the figure 10 at above shows a prompt wag for the user chooses the step to perform on this program. If Generate Database is pressed, the program will commit the image database to the workspace and there will shows Loading HeadCount and Loading non-HeadCount as shown at left-hand side, first two contentions on figure 10. If the spillage Create SVM is pressed, the support vector machines network will be created. Some information of the network will be show out as shown at left-hand side, after first two lines on figure 10. To test the network is just press the Test on Photos button. After the button is pressed, another menu will prompt out is let the user to select the sample image for testing. After the sample is selected, the program will run automatically until the result come out. The program will circle all the headcount based on the network. If there got error, the program can let the user to retrain it regarding to same sample. In the experiment on this proj ect, one sample that contains some possibly of the combination and viii different orientation of headcount is created to use as the testing sample. Lastly, the menu will close if the Exit is pressed.Figure 11 show the result on graphical user interface output for counting systemFor the counting system, GUI is created to show the result of the number of headcount as shown at right-hand side in figure 11 and the input image have been captured as shown at left-hand side in figure 11. The result is counted based on these theories If the objects of first image touch the upper line then(prenominal) the objects of the following image touch the lower line, this mean the objects are moving in. If the objects of first image touch the lower line then the objects of the following image touch the upper line, this mean the objects are moving out.ConclusionThis report shows the complete process on designing this project. After complete the literature review, this can help on choosing the hardwar e, software or interfacing device to use. Methodology of this project shows majority method or solution to do this project in both building hardware and the software programming. More testing and simulations are done to get better solution. The complete steps or procedures of this project are show in the project design with the flow chart. Practical testing is also done and the result has been show and discuss distinctly.This project fully achieves the entire objective stated above. For the main objective on researching type of artificial intelligence engine has fully achieved. The definition, architecture, algorithm of all type of artificial intelligence such as fuzzy logic, neural network, neurofuzzy, induction algorithm and genetic algorithm have been explained and stated in the literature review. Summary in literature review support the point of achieve the main objective and constitute the objective of determine the type of interfacing device to use for connecting hardware an d software is achieved. By comparing the two types of the interfacing devices such as USB cable and RS232, USB cable has a better speed than RS232 cable. So USB cable is chosen. The investigating and testing the sample programming on both neural network and image processing in methodology is to achieve one of the objectives. That objective is investigated on the programming language for the artificial intelligence engine. There is not sole(prenominal) achieve the objective and some additional investigating on image processing is adding on. Design software and GUI which able to simulate the system model, and implement the prototype hardware to get the inputs are achieved objectives too. PC camera is used to get input with the worked programming and GUI indicate the number of headcount prove that these objective is achieved. The result is show and discussion clearly on above.The contributions and benefits of this project is save the life from emergency is happen, reduce the waste of time and energy on unnecessary purposes, increase the efficiency of work, and this project is ease to use head count system with fully automatically function.The weaknesses and disadvantages of this project is limit in light level on PC camera, time consuming and memory consuming on operate the system is high.Reference and Bibliographyhttp//www.freepatentsonline.com/20090271240.pdf (Accessed 30 October 2010)http//www.headcountsystems.com/counting_technology.html (Accessed 9 October 2010)http//www.911headcount.com/solutions.html (Accessed 9 October 2010)http//pragmatick.com/ (Accessed 10 October 2010)http//www.sensourceinc.com/ (Accessed 16 October 2010)http//www.countwise.com/products_overview.php (Accessed 16 October 2010)http//www.infodev.ca/buildings.html (Accessed 17 October 2010)http//www.trafsys.com/people-counters.aspx (Accessed 17 October 2010)http//en.wikipedia.org (Accessed 6 November 2010)http//www.wtec.org/loyola/kb/c1_s1.htm (Accessed 6 November 2010)http//www.reference forbusiness.com/management/A-Bud/Artificial-Intelligence.html (Accessed 23 October 2010)http//www.zaptron.com/literature/neurofuzzy.htm (Accessed 24 October 2010)http//www.mathworks.com/products/daq/supportedio14005.html (Accessed 30 October 2010)http//www.automationdirect.com/static/specs/pe18mmfaled.pdf (Accessed 31 October 2010)http//www.roboticsconnection.com/p-23-sharp-gp2d120-ir-sensor.aspx (Accessed 31 October 2010)http//www.interfacebus.com/usb-cable-diagram-30.html (Accessed 31 October 2010)http//faculty.olin.edu/bstorey/Notes/Card.pdf (Accessed 30 October 2010)http//www.dataq.com/support/documentation/pdf/misc/MatlabAdaptor.pdf (Accessed 30 October 2010)http//www.neuralwiki.org/index.php?title=Programming_the_USB-6008_with_Matlab (Accessed 31 October 2010)http//en.wikipedia.org (Accessed 31 October 2010)http//www.mathworks.com/products/matlab/description1.html (Accessed 14 November 2010)http//www.developers.net/intelisdshowcase/view/47 (Accessed 21 November 2010)http//www. inmes.hr/pdf/thermography.pdf (Accessed 28 November 2010)http//www.phon.ucl.ac.uk/ phratry/shl9/roel2a/smits2a.htm (Accessed 5 December 2010)http//www.dtreg.com/mlfn.htm (Accessed 12 December 2010)http//www.learnartificialneuralnetworks.com/hopfield.html (Accessed 19 December 2010)http//www.dtreg.com/svm.htm (Accessed 26 December 2010)http//crsouza.blogspot.com/2010/03/kernel-functions-for-machine-learning.html (Accessed 26 December 2010)http//www.mathworks.com/products/image/ (Accessed 2 January 2011)http//www.cvmt.dk/education/ command/f09/VGIS8/AIP/canny_09gr820.pdf (Accessed 2 January 2011)http//mathworld.wolfram.com/GaussianFunction.html (Accessed 9 January 2011)http//www.pages.drexel.edu/weg22/can_tut.html (Accessed 16 January 2011)https//ece.uwaterloo.ca/ece327/old/2007t1/proj/doc/proj.pdf (Accessed 23 January 2011)http//www.cs.cornell.edu/dph/hausdorff/hausdorff1.html (Accessed 30 January 2011)http//www.cs.cornell.edu/vision/hausdorff/hausmatch.html (Accessed 13 February 201 1)http//www.cnbc.cmu.edu/tai/papers/pami.pdf (Accessed 20 February 2011)