Author has focused on developing bird detection algorithm to detect birds and keep it away from the specified section without creating any sort of harm to it. our main goal is to identify the birds through our state of the art novel bird detection technique. in this thesis the comprehensive study of all kind of bird detection techniques developed so far are described thoroughly. based upon the requirement of our application best algorithm was chosen and changes in the existing algorithm were made accordingly. researchers implemented several different methods such as the use of sonic cannons and nets in the past but they proved ineffective in reducing bird predation, as these birds got accustomed to such sounds. dispersing the birds would require some kind of recognition software. two type of bird detection algorithms are developed 1) morphological techniques and 2) template matching technique. by using these two algorithms, both the stationary birds and moving birds can be detected.