THERMAL IMAGING BASED ANIMAL INTRUSION USING ARTIFICIAL INTELLIGENCE.
In these paper, we propose a Deep learning Algorithm Deep Neural network substitution method of predicting untamed animals such as elephants in increase in population density and agriculture. The most valuable thing is security and social expense. It is not necessary to put human lives in jeopardy....
| Publicado en: | Turkish Journal of Physiotherapy Rehabilitation Vol. 32; no. 2; pp. 2252 - 2258 |
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| Autores principales: | , , , |
| Formato: | pictorial tables/charts Journal Article |
| Publicado: |
Turkish Journal of Physiotherapy & Rehabilitation
2021
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| Acceso en línea: | Ver este registro en EBSCOhost |
| Sumario: | In these paper, we propose a Deep learning Algorithm Deep Neural network substitution method of predicting untamed animals such as elephants in increase in population density and agriculture. The most valuable thing is security and social expense. It is not necessary to put human lives in jeopardy. Highdefinition thermal imaging cameras change the original human watches (watch towers) in the proposed system. Feature Extraction offers a broad overview of the images taken and helps in the preprocessing of the image. The given system has overcomes the errors and has higher efficiency than the present image detecting multiscale algorithms like Haarcascade Classifier and Hog description. By the usage of multiple hidden layers like conv2D, maxpoolD, Flatten and Dense the animal is predicted and it are often viewed by the user within the shell of python. |
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