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@article{171882,
        author = {Bindushree T and Amruthavarshini P and M K Sandeep and M R Manohar and Dr. Chandrika J and Mrs .Shruthi A S},
        title = {EcoTrap: Protecting Wildlife – Smart Traps for a Greener Tomorrow},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {8},
        pages = {1391-1395},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=171882},
        abstract = {Human-wildlife conflict is a significant global chal- lenge, with increased interactions between wildlife and human activities raising ecological, economic, and ethical concerns. This requires innovative and humane solutions for wildlife manage- ment. The project, EcoTrap, is an intelligent trapping system that integrates advanced image processing techniques and IoT technology to enhance the precision and efficiency of wildlife management practices. The system employs computer vision algorithms to detect and identify specific species of wildlife, meaning that only targeted animals are captured with a minimal probability of capturing nontargeted species. EcoTrap has also used motion detection and real-time image analysis to minimize false triggers, optimizing the mechanism of trapping. Additionally, it uses IoT sensors that provide essential information such as location, timestamp, and photographic evi- dence of the animal trapped. This information is automatically transmitted to wildlife guards and forest officers so that rescue operations can be executed in time and with adherence to ethics. By integrating technology with humane practices, EcoTrap aims at improving the efficacy of wildlife management efforts, conservation of biodiversity, and reduction in human-wildlife conflicts.},
        keywords = {},
        month = {January},
        }