ECOGUARD: artificial intelligence technology for the detection of illegal logging in the amazon

Authors

  • Mathias Sebastián Huamán Zevallos I.E. N° 20955-19 “Valle Hermoso”
  • Fredd Martin Quispe Barzola I.E. N° 20955-19 “Valle Hermoso”

Keywords:

Deforestation, amazon, illegal, detection, artificial intelligence

Abstract

The study aimed to propose the development of a distributed system capable of automatically detecting illegal logging activities in large areas of the Amazon. The Arduino Nano Sense 33 Ble board, GPRS module, ESP 32 board, ESP32 module and a 2500 mAh rechargeable battery were used for its construction; meanwhile, the progression of the codes was carried out on the Edge Impulse platform. The study concludes with the prototype of an automated technological detection system using the sound of chainsaws

Author Biographies

Mathias Sebastián Huamán Zevallos , I.E. N° 20955-19 “Valle Hermoso”

Third grade secondary education student at Educational Institution No. 20955-19 “Valle Hermoso” in 2024, Huarochiri- Lima provinces.

Fredd Martin Quispe Barzola, I.E. N° 20955-19 “Valle Hermoso”

Third grade secondary education student at Educational Institution No. 20955-19 “Valle Hermoso” in 2024, Huarochiri- Lima provinces.

Downloads

Published

2025-02-10

How to Cite

Huamán Zevallos , M. S., & Quispe Barzola, F. M. (2025). ECOGUARD: artificial intelligence technology for the detection of illegal logging in the amazon. Revista Kuskanchaq, 3(1), 51–63. Retrieved from https://kuskanchaq.org/index.php/kuskanchaq/article/view/52

Issue

Vol. 3 No. 1 (2025)

Section

Reportes