Motorcycle image analysis with nanoelectronics platform
This research investigated of image tracking and edge detection for motorcycle in various lighting and weather conditions with nanoelectronics platform. The platform capability in different resolution and threshold level also evaluated. Comparison between field programmable gate array (FPGA) hardwar...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2018
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| Online Access: | http://psasir.upm.edu.my/id/eprint/65404/1/20.pdf |
| _version_ | 1796978091121180672 |
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| author | Mat Nong, Mohd Ali Md Yusof, Juraina Sabil, Suzila Mohd Sidek, Roslina |
| author_facet | Mat Nong, Mohd Ali Md Yusof, Juraina Sabil, Suzila Mohd Sidek, Roslina |
| author_sort | Mat Nong, Mohd Ali |
| collection | UPM |
| description | This research investigated of image tracking and edge detection for motorcycle in various lighting and weather conditions with nanoelectronics platform. The platform capability in different resolution and threshold level also evaluated. Comparison between field programmable gate array (FPGA) hardware platform and (MATLAB) software platform has been made. Developed framework showed great accuracy in segmentation of motorcycle plate number in daylight compared to rainy daylight and night condition. System developed has the processing time less than 40 milliseconds in various critical conditions such as daylight, rainy daylight and night conditions. The output image was analyzed by comparing the accuracy of bounding box and edges which is displayed in different conditions, threshold level, resolutions and distances. The result showed different performance for each condition. The output image is clear with pixel 1024 x768 in daylight, rainy and night. Meanwhile image quality getting blur while used low pixel resolutions such as 640 x 480, 720 x 480 and 800 x 600. Total speed for each image processing is 30 frames per second. The ability of this system captured motorcycle image is 5 to 15 meter in daylight, rainy and night. Analysis with Histogram level and contrast stretching method showed performance in hardware is improved rather than software [1-6]. |
| first_indexed | 2024-03-06T09:49:36Z |
| format | Conference or Workshop Item |
| id | upm.eprints-65404 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T09:49:36Z |
| publishDate | 2018 |
| record_format | dspace |
| spelling | upm.eprints-654042018-10-08T02:27:22Z http://psasir.upm.edu.my/id/eprint/65404/ Motorcycle image analysis with nanoelectronics platform Mat Nong, Mohd Ali Md Yusof, Juraina Sabil, Suzila Mohd Sidek, Roslina This research investigated of image tracking and edge detection for motorcycle in various lighting and weather conditions with nanoelectronics platform. The platform capability in different resolution and threshold level also evaluated. Comparison between field programmable gate array (FPGA) hardware platform and (MATLAB) software platform has been made. Developed framework showed great accuracy in segmentation of motorcycle plate number in daylight compared to rainy daylight and night condition. System developed has the processing time less than 40 milliseconds in various critical conditions such as daylight, rainy daylight and night conditions. The output image was analyzed by comparing the accuracy of bounding box and edges which is displayed in different conditions, threshold level, resolutions and distances. The result showed different performance for each condition. The output image is clear with pixel 1024 x768 in daylight, rainy and night. Meanwhile image quality getting blur while used low pixel resolutions such as 640 x 480, 720 x 480 and 800 x 600. Total speed for each image processing is 30 frames per second. The ability of this system captured motorcycle image is 5 to 15 meter in daylight, rainy and night. Analysis with Histogram level and contrast stretching method showed performance in hardware is improved rather than software [1-6]. 2018 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/65404/1/20.pdf Mat Nong, Mohd Ali and Md Yusof, Juraina and Sabil, Suzila and Mohd Sidek, Roslina (2018) Motorcycle image analysis with nanoelectronics platform. In: 2nd International Symposium on Advanced Materials and Nanotechnology (i-SAMN 2018), 15-16 Aug. 2018, The Everly Putrajaya, Malaysia. (pp. 32-33). http://www.samn2018.upm.edu.my/doc/20.pdf |
| spellingShingle | Mat Nong, Mohd Ali Md Yusof, Juraina Sabil, Suzila Mohd Sidek, Roslina Motorcycle image analysis with nanoelectronics platform |
| title | Motorcycle image analysis with nanoelectronics platform |
| title_full | Motorcycle image analysis with nanoelectronics platform |
| title_fullStr | Motorcycle image analysis with nanoelectronics platform |
| title_full_unstemmed | Motorcycle image analysis with nanoelectronics platform |
| title_short | Motorcycle image analysis with nanoelectronics platform |
| title_sort | motorcycle image analysis with nanoelectronics platform |
| url | http://psasir.upm.edu.my/id/eprint/65404/1/20.pdf |
| work_keys_str_mv | AT matnongmohdali motorcycleimageanalysiswithnanoelectronicsplatform AT mdyusofjuraina motorcycleimageanalysiswithnanoelectronicsplatform AT sabilsuzila motorcycleimageanalysiswithnanoelectronicsplatform AT mohdsidekroslina motorcycleimageanalysiswithnanoelectronicsplatform |