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008			240229s20239999th u m tt 000 a eng d
035			_a.b1242190x
099			_aAIT RSPR no.DSAI-23-02
100	0		_aAung Zar Lin
245	1	0	_aDeep learning combined with homography based vision algorithm for trench dimension estimation
260			_aPathum Thani, Thailand : _bAsian Institute of Technology, _c2023
300			_a27 leaves : _bill.
490	1		_aResearch studies project report ; _vno. DSAI-23-02
500			_aA research study submitted in partial fulfillment of the requirements for the degree of Master of Science in Data Science and Artificial Intelligence, School of Engineering and Technology
502			_aResearch Studies Project Report (M. Sc.) - Asian Institute of Technology, 2023
520			_aOne of the crucial components of the waterworks authority is the installation of water pipes. Water pipes that require less maintenance and last longer should be installed prop erly and in accordance with industry standards. To install a water pipe, the construction procedure begins by digging a trench that has a specific width and depth. Trench-digging errors, such as using the wrong width and depth for the trench or using incorrect trench profiles, will result in water pipe damage. That might eventually result in water pipe leaks, which are very challenging to find and correct. In my research, a single camera will be used to capture an image of the trench. The YOLO v4 object detection algorithm is used to detect the trench profile. A homography matrix calculation is performed to convert image coordinates to real world coordinates. There are many different ways to calculate a homography matrix. In this research, I create the homography from co-planar points. Using the homography, the dimensions of the trench can be estimated using Euclidean distance between points P1 and P2. The algorithm received the error less than 10 percent when the camera distance is less than 800 cm and the camera angle is less than 20 degrees.
650		0	_aDeep learning (Machine learning)
650		0	_aTrenchs _xSafety measures _xData processing
700	1		_aDailey, Matthew N., _eChairperson
700	0		_aMongkol Ekpanyapong, _eExamination Committee
700	0		_aChaklam Silpasuwanchai, _eExamination Committee
710	2		_aAIT Fellowship, _eScholarship Donor
810	2		_aAsian Institute of Technology. _tResearch studies project report ; _vno. DSAI-23-02
856	4	0	_3Full-Text _uhttp://203.159.5.9/ait-thesis/detail.php?q=B20426
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