Lighting system for camera barcode detector
Lighting control system for Camera based barcode reader is a system that automatically controls the illumination of the barcode lighting device by sensing the light intensity reflected off the barcode. Automatic light sensing, comparing the intensity level and illumination control have been develope...
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2009
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TK Electrical engineering Electronics Nuclear engineering Al-Gailani, Samir Ahmed Lighting system for camera barcode detector |
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Lighting control system for Camera based barcode reader is a system that automatically controls the illumination of the barcode lighting device by sensing the light intensity reflected off the barcode. Automatic light sensing, comparing the intensity level and illumination control have been developed in order to reduce light reflection from the barcodes. In this project, microcontroller is used to implement the light control strategies such as turn on or off the number of LEDs automatically and thus controls the brightness of the light source. The system has been designed in such a way that, it can capture the barcodes and process them perfectly under different lighting conditions. The different lighting conditions are produced by barcodes printed on different objects such as shiny covers, plastic wraps, round shaped bottle etc. The camera lens is used to detect the light intensity and to send the correct signal to microcontroller to perform the suitable actions. Thus, it reduced the use of extra sensor circuit for light sensing. A digital to analog convertor is used to convert the binary codes into analog voltages. This voltage is supplied to the power circuit for controlling the light intensity. The microcontroller is pre-programmed to do this task efficiently. Finally, some laboratory experiments have been conducted to validate the efficiency of the control circuit. |
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Thesis |
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Master's degree |
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Al-Gailani, Samir Ahmed |
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Al-Gailani, Samir Ahmed |
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Al-Gailani, Samir Ahmed |
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Lighting system for camera barcode detector |
title_short |
Lighting system for camera barcode detector |
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Lighting system for camera barcode detector |
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Lighting system for camera barcode detector |
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Lighting system for camera barcode detector |
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lighting system for camera barcode detector |
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Universiti Teknologi Malaysia, Faculty of Electrical Engineering |
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Faculty of Electrical Engineering |
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2009 |
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http://eprints.utm.my/id/eprint/12025/6/SamirAhmedGailaniMFKE2009.pdf |
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my-utm-ep.120252017-09-14T04:19:56Z Lighting system for camera barcode detector 2009-11 Al-Gailani, Samir Ahmed TK Electrical engineering. Electronics Nuclear engineering Lighting control system for Camera based barcode reader is a system that automatically controls the illumination of the barcode lighting device by sensing the light intensity reflected off the barcode. Automatic light sensing, comparing the intensity level and illumination control have been developed in order to reduce light reflection from the barcodes. In this project, microcontroller is used to implement the light control strategies such as turn on or off the number of LEDs automatically and thus controls the brightness of the light source. The system has been designed in such a way that, it can capture the barcodes and process them perfectly under different lighting conditions. The different lighting conditions are produced by barcodes printed on different objects such as shiny covers, plastic wraps, round shaped bottle etc. The camera lens is used to detect the light intensity and to send the correct signal to microcontroller to perform the suitable actions. Thus, it reduced the use of extra sensor circuit for light sensing. A digital to analog convertor is used to convert the binary codes into analog voltages. This voltage is supplied to the power circuit for controlling the light intensity. The microcontroller is pre-programmed to do this task efficiently. Finally, some laboratory experiments have been conducted to validate the efficiency of the control circuit. 2009-11 Thesis http://eprints.utm.my/id/eprint/12025/ http://eprints.utm.my/id/eprint/12025/6/SamirAhmedGailaniMFKE2009.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering 1. http://en.wikipedia.org/wiki/Barcode_reader [3/10/2009]. 2. Radu Ciprian Bilcu, Adrian Burian, Markku Vehvilainen, “Image Preprocessing for Bar Code Detection in Mobile Devices”, IEEE International Conference on Acoustics, Speech and Signal Processing. 2006. ICASSP 2006 Proceedings. 3. Ruwan Janapriya, Lasantha Kularatne, Kosala Pannipitiya, Anuruddha Gamakumara,Chathura de Silva and Nalin Wickramarachchi, An Intelligent Algorithm for Utilizing a Low Cost Camera as an Inexpensive Barcode Reader, ERU Symposium 2003, Sri Lanka. 4. Chunhui Zhang, Jian Wang, Shi Han, Mo Yi, Zhengyou Zhang ,Automatic real-time barcode localization in complex scenes, ,IEEE International Conference on Image Processing. 2006. 5. S.-C. J. Li, J. Xu, and T. Pavlidis, A Window-Based Barcode Acquisition System, Proc. SPIE. vol. 2181, pp.125-132, 1994. 6. H.-Y. Liao, S.-J. Liu, L.-H. Chen, and H.-R. Tyan, A Barcode Recognition System Using Backpropagation Neural Networks, Engineering Applications of Artificial Intelligence, vol.8, no.1, pp.81-90, 1995. 7. Kuo-Yang Tu, Chien-Hua Chen, Analysis of Camera’s Images Influenced by Light Variation, SICE, 2007 Annual Conference, 17-20 Sept. 2007 8. Shih-Chang Hsia and Po-Shien Tsai, Efficient Light Balancing Techniques for Text Images in Video Presentation Systems, IEEE transactions on circuits and systems for video technology, VOL. 15, NO. 8, AUGUST 2005 9. Zhixin Shi and Venu Govindaraju, Zhixin Shi and Venu Govindaraju, Historical Document Image Enhancement Using Background Light Intensity Normalization, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004. 10. Andrew Ross, “Getting the Most from a Camera-Based Sorting System”, Industrial Equipment News, http://www.ien.com/article/gettingmost- from/3472. 11. Mitsunori Miki, Tomoyuki Hiroyasu and Kazuhiro Imazato, (2004). Proposal for an Intelligent Lighting System, and Verification of Control Method Effectiveness, Proceedings of the 2004 IEEE Conference on Cybernetics and Intelligent Systems Singapore, 1-3 December, 2004. 12. Raffaele A. Cetrulo et al, Smart camera with an integrated Lighting controller, United States Patent- 5,101,275 13. Percy F. Shadwell, Jacksonville, FL, Synthetic barcode system and Method, United States Patent- 2008/0149721 Al 14. Ian E. Ashdown, Integral ambient light and Occupancy sensor having a linear Array of sensor element and a Segmented slit aperture device, United States Patent- 5,834,765 15. Chin-Long Chen, Mu-Yue Hsiao, Surasak K. O’ Trakoun, William W Shen, ‘ Barcode Scanner With Adjustable Light Source Intensity’ , United States Patent, 5,581,071. 16. Lawther et al, Ambient light sensitive automatic flash control circuit, United States Patent, 5,713,055. 17. Meksavan et al., Optical scanner head for processing barcode data and method of manufacture, United States Patent, 6,581,838 Bl. 18. Donald E. Drumm, PORTABLE BAR CODE SIMULATOR DEVICE AND METHOD, United State Patent, 2002/0074404 Al 19. How Barcode Scanners Work, Carolina Barcode Inc., http://www.carolinabarcode.com/how-barcode-scanners-work-a-69.html |