THE WILDLIFE ANIMAL DETECTION IN RESIDENTIAL AREA

COMPUTER ENGINEERING

The “Wildlife Animal Detection in Residential Areas” project aims to bolster the safety and efficiency of residential areas by integrating advanced computer vision techniques. Focusing on the detection of wildlife near homes at specific distances, the project utilizes the YOLOv3 model. In addition, it employs OpenCV for real-time video processing and incorporates voice alerts for immediate driver notification. In addition to employing OpenCV for real-time video processing, our system integrates voice alerts for immediate driver notification upon detecting wildlife nearby. The camera module's integration enables the precise and prompt detection of wild animal intrusion, which, when discovered, notifies the users through notifications so that they can notify the authorities without endangering the animals in the process. The device's functionality is also assessed by analyzing real-world data, which is helpful in securing living areas. Let's examine this cutting-edge device in more detail and show how it can lower the hazards of wildlife incursions into residential areas. Moreover, IoT-based SMS alerts enable remote monitoring, ensuring homeowners and local authorities are informed of wildlife activity in residential vicinities.

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