Automatic tracking object using simple robotic arm / Siti Khairani Alias
Material type:
TextPublication details: Kuantan, Pahang : UMP, 2010Description: xv, 74 p. : ill. (some col.) ; 30 cm. + 1 computer discISBN: - THE0006888(Local)
- Automatic tracking object using simple robotic arm [computer file]
| Item type | Current library | Call number | Copy number | Status | Date due | Barcode | |
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Final Year Report
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UMPLIB PEKAN | TK6680 .K43 2010 rs Bc. (Browse shelf(Opens below)) | 1 | Not for loan | 0000058472 | ||
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Final Year Report
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UMPLIB PEKAN | CD 5412 | TK6680 .K43 2010 rs Bc. (Browse shelf(Opens below)) | 1 | Not for loan | 0000058473 |
Project paper (Bachelor of Electrical Engineering (Electronics)) -- Universiti Malaysia Pahang - 2010
Bibliography : p. 71-74
This project is about improvement on the available technology on Closed Circuit Television Camera (CCTV). Nowadays, numerous shops and premises are equipped with CCTV. But, the CCTVs are only mounted on walls and could not detect movement that came out of its angle of surveillance. Therefore, if the CCTV camera is made movable and not static, then it could solve the problem on blind spot by making it movable according to the movement, even outside its angle of surveillance. The main objective of this project is to study the possibility to make the CCTV detectable and recognize any movements from outside its area of surveillance and to study the implementation of the CCTV on a simple robotic arm. The methods that will be used in this project are by using both software and hardware. On software, the image processing on MATLAB as well as Advantech Data Acquisition Card (DAQ) software will be used while on the hardware part, a simple robotic arm will be used and Advantech Data Acquisition Card (DAQ) is also useful for interfacing the software to the hardware. The tools that will be used is a PC, Advantech Data Acquisition Card (DAQ), a simple robotic arm and also a webcam which will represent as a CCTV in this study. The result of this project is that by using image processing on MATLAB could detect and recognize movements that are suspicious. The conclusion of this project is that this detection system could hundred percent detect and track suspicious movements in a control environment.