Real time automatic object detection by using template matching for protecting pipelines

This research aims to design and develop the program that is capable of comparing the aerial photographs taken by drone for the oil pipeline surveying. This survey traditionally required the personnel to drive along the pipeline route and report any activities which might cause the damages to the pipelines back to the company. The survey in this nature will cause the smoke emitted from the car's exhaust pipe that affects the environment and pose a risk to the operating personnel. The program has been designed and developed to enhance drone's flight capabilities as well as reduce a risk for the personnel in drive surveying and lessen down the working time. This photo comparison system is able to indicate the details of location including the province and district which has been trespassed and capable of alarming such trespassing so that the personnel may verify undertake necessary actions. The test results suggested that the program can read the coordinate embedded with the video files and able to identify the trespass or the event that pose a potential risk to the pipeline.