Wildlifeintrusion is proved to be lethal for both human beings and animals.
Humanwildlife conflict is the major problem that leads to crop damage, injuriescaused to both human and elephant. In this system we have proposed elephantintrusion monitoring using IoT. The wild animals are captured by using a camera.
A GSM notification along with the alarm is sent to the forest officialsindicating that the animal has been detected in the forest borders and isapproaching the human habitat. The proposed system also focuses on atmosphericmonitoring and therefore it overcomes the drawbacks of existing system. Thus, wehave developed a prototype model that allows persistent detection andmonitoring.Keywords:IoT (Internet of things), camera, wildlifemonitoring, atmospheric monitoring GSM, alarm. Introduction: Therapid increase in human population has led to the conversion of forest landinto human settlements. Due to this, the wild animals face shortage of food andwater.
However, wildlife is greatly affected due to deforestation and forcingthem to move into human habitats. It creates great loss to property and lives. InTimes of India it has been reported that over 1300 people died due to tigerelephant attacks in India over the past three years. Thus, humans face gravedanger and the time to recover from the major loss is negligible. Human animalinteraction can prove dangerous for both species and therefore there is a needfor an intelligence surveillance and alert system. Human animal conflict isincreased to a greater extent.
A number of factors include elephant habitat structure,weather, animal life etc. Forest fire is an important threat that occursfrequently due to the natural changes, human activities and other factors. Inthe recent years there is a consistent increase in the forest fires that causesdamage to crops, wildlife as well as to humans. Therefore, a network basedwireless sensor is used for forest fire detection to achieve high resolutionaccuracy for the early detection. The approach focuses on detectinganimals and sending warning messages using GSM and alarm. The humidity of theforest is measured and maintained.
The main aim of our work is to alert thepeople in and around the forest borders and to prevent their lives. Inuncontrolled field environments like desert, forest or trees it is desirable todevelop computer vision tools instead of performing manual field observation.These, automated tools helps in many efficient and reliable studies.