1 Wildlife Net-Gamekeepers using Sensor Network (original) (raw)
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Wildlife net-gamekeepers using sensor network
Proceedings of the 6th ACM SIGCOMM workshop on Network and system support for games - NetGames '07, 2007
Wildlife lies in vast and wide areas where human gamekeepers work as protectors. The task of recognizing poachers in protected areas is tedious, tiring, and requires huge manpower and computational overhead. A fully automated system cannot accurately identify every such poacher. This paper proposes a conceptual system based on sensor network, which will provide amusement for cyberspace gamekeepers while protecting the wildlife. For this, the sensory data from the park is mapped to a game-like virtual environment. Cyberspace gamekeepers will access the system and play the game. While playing, they will help to conserve the wildlife in national parks by pattern recognition of intruders in the game. The sensor network in the proposed system will use microphone, accelerometers and wireless transmission system.
A Sensor Based Anti-Poaching System in Tanzania National Parks
In recent years poaching incidents has been massively increased encompass slaughtering of endangered species in Tanzania and Africa in totality. Different initiatives has been taken world widely including establishment of International Anti-Poaching foundation (IAPF). Tanzania in particular has taken several initiatives on the matter at different time including sending her own military army across the borders of National parks as an attempt to eradicate poaching activities. However poachers are still continue to put a bullet on the heads of these species of monumental importance. The main idea presented in this paper involve employing a modern and a sophisticated technology in which poachers will be left behind and being netted easily there by eliminating Poaching activities. The idea utilize animals themselves with sensors as mobile biological sensors (MBS) mounted with sensor fusion (having visual, infrared camera and GPS) that transmits the location of MBS, access points for wireless communication and a central computer system which classifies animal actions.
Anti-poaching System to Detect Poachers and Conserve Forest Ecosystem
IRJET, 2022
poaching has been defined as the illegal hunting or capturing of wild animals, usually associated with land use rights. in this project, we explore surveillance and target detection applications with radio detection as the primary means of sensing. radiofrequency (RF) sensing techniques are the next generation technologies, which offer distinct advantages over traditional means of sensing used for surveillance and target detection applications. this project proposes a system where using of intelligent sensors that would detect human activity within these forests and pass such information to a central control center for monitoring so that they can gear up and muster up for evasive action. the cell phone detector sensor will detect emissions from phones in the 0.8 to 2.5 GHz RF range. any signal from any cell phon e w ill trigger a message from the unit along with its location code to the central server. the PIR sensor is an inexpensive sensor that detects the intruder motion. the sensor can detect up to 7-12 meters and covers up to an angle of 108°. the PIR is accompanied by a camera module which clicks an image of the scene, compresses into and uploads to the central server. the camera module is capable of capturing color pictures and providing a compressed version (JPEG) of the same. it uses a not so expensive camera module from 'ARDUCAM' that has a resolution of 2 mp. the interface to the micro controller is via a i2c (inter integrated circuit) for controlling the CMOS image sensor(ov2640). at the moment it is not known if the PIR sensor can be triggered by animals as well. in such a case it might be useful as a animal census unit as well. the device will be waterproof and ruggedized, they will be pole mounted, mounted on trees or other suitable natural structures or on a mobile platform that can be left around anywhere in the area of interest.
A Novel Smart Tag-Based Vigilance System for Human Against Wildlife Threats on Iot
Regular Issue, 2020
India has 1.37 billion people and still the population is growing, therefore government is putting immense pressure on land to build homes and factories irrespective to wild inhabitants. Also, government in the process of taking endless effort in aspiration for economic growth of country by rushing through projects, sometimes without proper safeguards and deforestation. Deforestation and urbanisation are becoming a major concern. Which in turn results, human wildlife conflicts. This is a matter of serious alarm in balancing the competition for land between people and animals. Due to the above-mentioned reason the tribal people who dwell in and around the forest area suffer from the human and wild animal conflicts. The occurrence is mainly due to the unawareness of their migration of animal inhabitants in and around the living area due to scarcity of food and water. It has been visualized and propounded as an idea towards the people who dwell in the tribal forest areas, and encounter such kind of human wild life conflict problems through the articles in daily news. It's a major problem to be concerned, because this conflict has led to the extinction, reduction of numerous species, uncountable human deaths and economic losses. Recent advances in our understanding of conflict have led to a growing number of positive conservation but unfortunately with technology gaps.
Contributions of sensor networks to improve gaming experience
24th IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2010, 2010
Wireless sensor networks (WSNs) have evolved from primary military applications into everyday life. Sensor networks rapidly began spreading to civil applications like environment monitoring, education, intrusion detection, motion sensing, gaming experience, among others. Wireless sensor networks are thought to lead to a world plenty of smart objects in the future. In addition, gaming is a widely recognized part of our cultural landscape and as old as our human ancestors. The earliest computers were very slow and the interaction with the user was rudimental. In the early 40's, computers evolved, and programmers started to develop new virtual worlds and surprising ways of interaction between the user and the machine. Following the growing popularity of computer games and the common use of wireless sensor networks, we survey on how both technologies can be combined together to provide a better gaming experience.
Wildlife Detection and Intrusion Alert System
IJARCCE
Wild animal intrusion has always been a persisting problem. A lethal conflict is below way among India's developing population and its wildlife limited to ever-shrinking forests and grasslands. In forest and agricultural zones, human animal conflict is quite an issue where enormous amounts of resources are lost and human life is threatened. The reason behind animals attacking humans cannot be confined to a single cause. Certain animal attacks happen due to humans provoking them and others are purely based on instinct which is often the case and for which nothing can be done. There are no specific reasons for animals attacking humans based on instincts. In any way, animal attacks are daunting. Apart from posing a threat to human life, Crop damage caused by animal attacks resulting in reducing the crop yield is also yet another consequence. Hence their activity must be monitored continuously in order to take action in case of animal intrusion in attack prone areas. Due to the diverse nature of movement and physical sizes of wild animals, it is a challenging task to track these animals or perform surveillance. In order to tackle the issue, we are developing a system to monitor these areas that will detect the intrusion of wild animals using image processing where classification is performed using Deep learning algorithms. Suitable action is taken based on the type of intruder and an alert is sent if the type matches the predefined wild animal datasets.
Automated wildlife monitoring using self-configuring sensor networks deployed in natural habitats
2007
To understand the complex interactions among animals within an ecosystem, biologists need to be able to track their location and social interactions. There are a variety of factors that make this difficult. We propose using adaptive, embedded networked sensing technologies to develop an efficient means for wildlife monitoring. This paper surveys our research; we demonstrate how a self-organizing system can efficiently conduct real-time acoustic source detection and localization using distributed embedded devices. * Email: vlad.trifa@ieee.org † The work presented here was mainly carried out at UCLA.
International Journal of Advances in Scientific Research and Engineering (ijasre), 2022
The results have been shown that the people especially farmers living at the edge of Volcanoes National Park (VNP) practiced agricultural business due to the fertile soil found in the region. The rising number of agronomies in the zone, number of tourists, and illegal forest users such as poaching, and deforestation cause wild animals to get out of their habitats. Therefore, forest animals present a likely risk to damage crops whenever they get out of the forest. The current systems such as "Buffer Wall also known as wall of stones" was manually operated; electric fence systems resulted in death and pain to wild animals. The primary creation of this paper is to develop an Automatic Escaped Animal Detection and Monitoring System. Due to the development of automatic systems for detecting and monitoring all moving wild animals and intruders, it was stated that using automation at Buffer wall could be helpful for both wild animals and farmers keeping safe. The objectives of developing an Automatic Escaped Animal Detection and Monitoring System were to reduce the probability of crop raids, death and injuries between wild animals and farmers, warning the wild animals using of buzzer, speaker with a recorder voice of lion and block of LEDs to remain in their habitats and the notifications sent to the park officials related to the wild animals getting out of the forest. This system should primarily use sensing devices to detect and monitor their presence. The study reveals that the people especially farmers living at the edge of Volcanoes National Park (VNP) can be protected using this system. The specialty of this technological system developed was to automate manual and improve the current systems by using Arduino NANO Microcontroller to execute system's operations, GPS NEO 6M for locating moving wild animal, Ultrasonic sensor for detecting wildlife and calculating its speed, PIR sensor to detect intruders, GSM SIM900 to notify park rangers, reduction of crop raiding, and finally reducing the death and pain of wild animals caused by the current systems.
IJERT-A Review of Animal Intrusion Detection System
International Journal of Engineering Research and Technology (IJERT), 2020
https://www.ijert.org/a-review-of-animal-intrusion-detection-system https://www.ijert.org/research/a-review-of-animal-intrusion-detection-system-IJERTV9IS050351.pdf Image processing and IoT sensor monitoring network technology has taken the evolutions of sensors to a completely different level. The conflicts between human and animal become a major problem in the agriculture field and in the forest zone which leads to human life in danger and also losing a huge quantity of resources. To solve this problems animal intrusion alert system can be used with wireless sensors and sends an automatic alert message to the landowner also to forest officials with an image. This can make early warning notification to take a suitable action depends on the type of intruder. The sensor will detect the movement of the animal and the camera will capture the image, using image processing techniques the captured image is classified via a microcontroller, then GSM module will send the alert notification SMS to the forest department or the landowner. This survey is used to understand various steps, tools, and experimental setups to save human life from animal intrusion.