Detection and Recognition of Animals Using Yolo Algorithm

Animal recognition and tracking systems have the potential to provide accurate and cost-effective monitoring of animal populations and their behaviour in the wild, which can be crucial for conservation efforts and ecological research. This study explores the utilization of the YOLO version 3 object detection and recognition algorithm, in conjunction with Firebase technology, to trigger an application that sends real-time data to nearby safari vehicles for animal tracking purposes. However, it is important to consider the ethical and privacy concerns of both the animals and the people involved when developing and using animal recognition and tracking systems and to ensure that adequate training and support are provided for users, particularly in cases where it involves interaction with wild animals.