Smart Wildlife Alert System Using Hybrid Deep Learning to Monitor Animal Activity

The Smart Wildlife Alert System (SWAS) is a sophisticated solution designed to mitigate human-wildlife conflicts and conserve biodiversity by leveraging advanced technology.Human-wildlife conflicts pose significant challenges globally, leading to economic losses, property damage, and threats to both human and animal safety.SWAS integrates various technologies such as sensors, cameras, and artificial intelligence to detect and monitor wildlife activity in vulnerable areas.The system employs a network of sensors strategically placed in wildlife habitats to detect movement and sound patterns associated with animal presence.These sensors are equipped with environmental monitoring capabilities to collect data on factors like temperature, humidity, and vegetation density, providing valuable insights into wildlife behaviour and habitat conditions.Upon detecting wildlife activity, the sensors trigger cameras to capture images or videos of the animals, which are then analysed using machine learning algorithms to identify species and behaviour.The Smart Wildlife Alert System represents a significant advancement in wildlife management and conservation, offering a proactive and technology-driven approach to mitigate human-wildlife conflicts.By facilitating early detection and response to wildlife activity, SWAS aims to minimize negative interactions between humans and animals while promoting coexistence and sustainable biodiversity conservation.