Publication:
TreeSpirit: Illegal logging detection and alerting system using audio identification over an IoT network

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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.

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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.

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