Published Paper Details:

Computer vision library (OpenCV)object classifier. This is a problem that can be overcome with Haar cascade .Object recognition is an important feature of computer science. Object recognition penetrates deeper and deeper into the common territory of the information society, and is useful where it is needed. This paper describes one such possibility using the Haar cascade classifier. Images are usually processed at a lower level first to improve image quality, such as noise reduction. The image is then processed at a higher level, for example to recognize the pattern. The system detects the object in question by moving window over the image. Each stage of the classifier marks a particular area as either positive or negative, as defined by the current position of the window. Positive means that the object was found, negative means that the specified object was not found in the image. The focus is on case studies of vehicle detection and counting systems and the potential in semi-closed areas as a statistical feature. The purpose of the system to be developed is to make daily life easier and richer.