Abstract
Abstract: Today, even without the help of technology, monitoring wildlife has become a challenging job. To address this problem, we have developed a solution for animal classification cameras that can detect and store data of these animals in SD card. The system can also be used to protect wildlife in zoos. The system is also able to identify new species. When a new species is discovered, it stores its data in a separate database for further study. It is also possible to control the system remotely if there is internet in the area. The system uses Python-based code that includes pretrained classification models. We have used the pi camera to feed live footage to the Raspberry Pi. It then uses the OpenCV module to segment the image into frames and compares the obtained frames with the pretrained module and gives labels accordingly. The system and stored data can also be accessed through the mobile application Rasp Controller and through computer using the software named VNC viewer. The system is also able to move from one place to another and also as it is a part of whole system it is also remotely monitored.
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