| Autor: |
Joseph K. Paul, Karthikay Gundepudi, Tankala Yuvaraj |
| Rok vydání: |
2020 |
| Předmět: |
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| Zdroj: |
2020 IEEE 17th India Council International Conference (INDICON). |
| DOI: |
10.1109/indicon49873.2020.9342131 |
| Popis: |
With the ceaseless threat to the animals in the forest, poaching has made them vulnerable. The increased demand in boasting of pride in holding animal assets has crossed the limit, which made poachers, money-\\making entities in the black market. Continuous monitoring by the park rangers would be a tedious task and may not even be done properly at times too. Accompanying to the current world technological advancements in the Internet of Things and Deep Learning; Object detection has become an effortless job. The goal of our research is to achieve a feasible perspective on anti-\\poaching. The result of our solution gives the best suitable approach towards reducing the poaching of animals by using Unmanned Aerial Vehicles. These UAVs are the future aerial robots and are capable of performing multiple tasks in numerous fields. Advanced technical tools like Raspberry Pi, Computer Vision, and Encryption can tackle world-class problems to some extent. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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