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Smart Surveillance: A Nature Ecological Intelligent Surveillance System with Robotic Observation Cameras and Environment Factors Sensors

Jinchao Zhu, Hongpeng Wang, Han Danhua, Jingtai Liu

Year
2018
Citations
8

Abstract

There are many ecological problems such as the greenhouse effect, air pollution, biodiversity loss. Nature environmental monitoring and wildlife detection by rangers in the wild could be arduous and dangerous. Intelligent ecological environment surveillance system for wildlife and environment factors is necessary. In this paper, we present a new design of the nature ecological intelligent surveillance station with environment factors sensors and robotic observation cameras which can detect wildlife that appear in the field of vision and sequentially track them actively by robotic pan-tilt-zoom cameras according to their rarity. Several such stations form a smart surveillance system to detect wildlife and monitor environment factors in a field. Based on this system, the activities and living habits of wildlife and the climate changes in the forest can be effectively and constantly monitored by the cooperation of multiple devices such as robotic pan-tilt-zoom cameras, wind speed and direction sensors, temperature and humidity sensors, pm2.5 concentration sensors configured in this system. The experiments demonstrate the feasibility and effectiveness.

Keywords

WildlifeComputer scienceZoomEnvironmental monitoringReal-time computingField (mathematics)Environmental scienceRemote sensingEnvironmental resource managementEcology

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