Simulation Analysis of Information-Based Animal Observation System

There are many animal species have extinct from the earth because of the behavior of human being, such as killing and the change of habitat environment due to climate change, contamination and pollution, etc. The close-in observation is a way for counting and identifying the animal, which is on the verge of distinction. The conventional way in animal observation is by vehicle/foot on land and by vessel at sea that is not only man-power consuming, but costly, ineffective and weather limited. This paper aims at using a new information technology for dolphin observation instead of man-power on board vessel. A concept of responsive action in observation operation is applied carrying out by an information-based observation system which consists of hydrophone laid on the sea floor, camera/IR camera carried by Quadrocopter, and land control center. For verifying the effectiveness of this information-based observation system, the Monte Carlo simulation model is developed. The results showed this information-based observation system is more effective than the man-power, and the concept of the search in area of uncertainty (AOU) can make a significant improvement in detecting dolphin.