Real Time Detection of Predators near the Domestic Animal’s Shelter Based on the Artificial Intelligence (AI) and Internet of Things (IoT)
Mayur Pillewan, Om Rachalwar, Nikhil P. Wyawahare, Sampada Wazalwar, Smita Rajesh Kapse · 2024
India is an agricultural country where farmers grow various types of crops on their agricultural lands using organic fertilizers. These fertilizers are provided by farm animals such as cows, bulls, goats, sheep, and many more. These animals also provide daily-need products like milk, fertilizer, and raw materials to industries, and help farmers improve their financial conditions. Due to these reasons, farmers raise these animals and take care of them. However, these animals face various problems in animal shelters, including wild animal attacks that kill them. To protect domestic animals from wild animal attacks, farmers use different methods like fencing, guard animals, and safe shelters, as well as eliminating food sources and making the property less attractive to predators. But despite these efforts, wild animal attacks on domestic animals still happen. Approximately 1000 domestic animals are killed by wild animal attacks every year. Therefore, a proper solution is required to address this problem by using artificial intelligence and IoT technology. This paper proposes a model to solve this problem using AI and IoT. The model detects wild animals near animal shelters and sends this information to farmers’ smartphones. The model is deployed on Raspberry Pi and IoT sensors. Deep learning algorithms are used for wild animal detection and were developed using TensorFlow Lite. To alert the farmer in case any wild animals are detected near the animal shelters, Twilio API messages are sent to their mobile phones.