The main objective of this process is to detects and count the number of animals for future estimation to save animals.
It is important to make a count of animals as they are being extinct now a days, so to save them we have to keep a note properly so that we can take important measures to save them. In existing method there is only manual checking where a human being need to present to keep a count of animals. Which take so much of time to identify the animals. To overcome those problems we are introducing an automatic identifying and counting the animals by using deep learning methods. This process gives an accurate results to detects and keep proper count of animals.
Keywords: Object detection, OpenCV, MobileNet SSD, Deep Learning
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Hard Disk: 160GB
Camera: Webcam
S/W Configuration:
Operating System: Windows 7/8/10
IDE: Pycharm
Libraries Used: Numpy, IO, OS, CV2
Technology: Python 3.6+