Mosquito Detection using Deep Learning based on Acoustics

Authors

  • Ankur Singh Bist
  • Mohd Mursleen
  • Lalit Mohan
  • Himanshu Pant
  • Purushottam Das

Keywords:

deep learning, dense convolution networks, Feature Pre-processing, acoustic.

Abstract

Deep learning based techniques are becoming popular because of its stability. Success of voice analytics can be seen because in various applications like alexa, siri etc. Behind the scenes main concept is to generate and analyze features so that it can be applicable in real world. In this paper we are proposing a deep learning based pipeline for mosquito detection. Hardware integration with software techniques will create device that can meet need of end user. Further AI Nano Jetson and flying machine are used to complete the end goal.

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References

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Published

2021-02-28

How to Cite

Bist, A. S. ., Mursleen, M. ., Mohan, L. ., Pant, H. ., & Das, P. . (2021). Mosquito Detection using Deep Learning based on Acoustics. The Journal of Contemporary Issues in Business and Government, 27(1), 1036–1041. Retrieved from https://cibgp.com/au/index.php/1323-6903/article/view/616

Issue

Vol. 27 No. 1 (2021): The journal of contemporary issues in business and government

Section

Articles

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