Publication: TreeSpirit: Illegal logging detection and alerting system using audio identification over an IoT network
Type:
Article
Date
2018-02-19
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE
Abstract
Illegal logging has been identified as a major problem in the world, which may be minimized through effective monitoring of forest covered areas. In this paper, we propose and describe the initial steps to build a new three-tier architecture for Forest Monitoring based on Wireless Sensor Network and Chainsaw Noise Identification using a Neural Network. In addition to detection of chainsaw noises, we also propose methodologies to localize the origin of the chainsaw noise.
Description
Keywords
TreeSpirit, Illegal logging, logging detection, lerting system, audio identification, IoT network
Citation
P. G. Kalhara, V. D. Jayasinghearachchi, A. H. A. T. Dias, V. C. Ratnayake, C. Jayawardena and N. Kuruwitaarachchi, "TreeSpirit: Illegal logging detection and alerting system using audio identification over an IoT network," 2017 11th International Conference on Software, Knowledge, Information Management and Applications (SKIMA), 2017, pp. 1-7, doi: 10.1109/SKIMA.2017.8294127.
