This paper discusses about a performance study on object detection method and algorithm used in digital image processing. The method and algorithm were implemented in both software and hardware based. Object detection technique in digital image is very important for the surveillance and automation application. A total of six methods being focused and discussed in this paper which include fixed method, background subtraction method, new inter-frame difference method, optical flow method, temporal difference method, and artificial neural network method. They are the most common used method in the digital image object detection technique. The new interframe difference method has found to be the main method in vision cutter project.