ResNetDetect

Early Automatic Detection of Forest Fires Using Residual Learning Neural Networks


ResNetDETECT

Early Automatic Detection of Forest Fires Using Residual Learning Neural Networks

 

Objective

Develop an early automatic forest fire detection system using residual learning neural networks. The networks to be developed shall present an excellent ability in the detection of small smoke plumes in images gathered in the visible light wavelengths due to two main reasons:

  • The neural networks will be deep and their architecture will be chosen among several possible and optimized for the task in hands
  • The network training will be done using images created with highly advanced Generative Adversarial Networks as well as using a large number of real images gathered by CICLOPE system during several years.

LISBON HEADQUARTERS

Rua Alves Redol, 9

1000-029 Lisboa

Tel. +351 213 100 450

Fax. +351 213 100 445

 

LEIRIA

Morro do Lena - Alto do Vieiro, C

2411-901 Leiria

Tel. +351 244 843 424

Fax. +351 244 843 435

 

 AVEIRO

Rua da Boavista (AIDA) | ZI Taboeira - Alagoas

3800-115 Aveiro

Tel. +351 234 302 409

Fax. +351 234 302 499

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