Animal Recognition using Helium Drone

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  evaluation process

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  importing and setting data points

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  model is predicting

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  input image

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  output

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  drone prototype

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  working of drone

The issue of security and surveillance is very paramount in forest areas where both humans and animals try to intervene, mainly in RFs, and which cause many accidents across the forest corridors that lead to death of many animals and humans. Therefore, we intend to avert these accidents by using helium drone surveillance with thermal cameras. This drone will detect and identify the animals that move along the borders with the help of a thermal camera. This drone can withstand any harsh conditions and won't be affected by rain due to the usage of hydrophobic plastic. It is 24/7 surveillance and can stay up in the air without any help of rotors or fans due to the main body being made up of helium which can easily stay in air. And it just needs rotors to lift up and maneuver its direction. These drones are designed to work autonomously

Built With

• cnn
• hardware
• jupyter
• tensorflow