Forest intrusion detection system with sensor network

Abstract

An intrusion detection system was developed to detect illegal entries to guarded forest areas and thus help the prevention of timber theft and other damages, caused by illegal activities. The system contains accelerometers, magnetometers and geophones to provide high detection reliability and fast reaction time. The performance of the proposed system is illustrated by real measurements.This full text paper was peer-reviewed at the direction of IEEE Instrumentation and Measurement Society prior to the acceptance and publication.978-1-4799-6144-6/15/$31.00 ©2015 IEEE

Post-Logging Estimation of Loblolly Pine (Pinus taeda) Stump Size, Area and Population Using Imagery from a Small Unmanned Aerial System

“…Similarly, timber trespass is the unintentional harvest of another person's timber; this usually occurs while legally logging a site adjacent to where the trespass occurs. Timber theft and trespass are common problems worldwide [1]. Both carry a civil penalty in most US states and the thief/trespasser, if caught and convicted, is usually required to pay damages in excess of the market value of the illegally harvested timber at the time the harvest occurred [2].…”

An efficient and low cost realization of LoRa based real-time forest protection system

“…Forest protection works utilizing various technologies include: cloud-assisted green internet of things (IoT) framework [4], artificial neural network [5], wildfire prediction system using deep neural network to predict the intensity of wildfire based on the various environmental parameters such as temperature, humidity, soil moisture, and pressure [6], Remote sensing technology [7], temperature and humidity sensors integrated with Zigbee communication technology [8], a forest fire detection and monitoring system enabled with Wi-Fi [9], Raspberry Pi based IoT system with GSM [10], and fire detection using sensors, satellite system and unmanned arial vehicles (UAVs) using wireless routing algorithm [11]. The development of wireless sensor network (WSN) based intruder detection system using a magnetometer, accelerometer, and geophone sensors has been discussed in [12]. This system detects the arrival and location of vehicles to prevent timber thefts to a larger extent.…”

Advanced seismic signal processing techniques for detection and bearing estimation of footsteps and vehicular signals

“…Urban surveillance systems were initially established as vision-based intelligent transport systems [15][16][17] or intelligent indoor/outdoor surveillance system [18][19][20] using network of cameras. Subsequently, distributed sensor based surveillance systems were built for variety of applications including landslide detection [21,22], avalanche detection [23], forest intrusion detection [24], perimeter security [25] etc. Most of these sensor systems used seismic sensors because of their ability to detect ground movements caused by both natural sources such as landslides, earthquakes and man-made sources such as human footsteps, vehicles etc.…”

“…Furthermore, seismic signals are less susceptible to change in lighting conditions or acoustic interference that may affect video cameras and microphones, respectively [26]. Seismic sensors are combined with one or more sensing technologies such as microphones [27], radar [28], video cameras [29], passive infrared, infrasound [30], ultrasonic, magnetome-ters [24] depending on the surveillance application. Hence, there is a necessity for improved algorithms that are aimed towards processing seismic signals for surveillance ap- Seismic waves and wavefields have been well researched for several decades by seismologists.…”

“…Subsequently, distributed sensor based surveillance systems were built for different types of surveillance applications including landslide detection [21,22], avalanche detection [23], forest intrusion detection [24], perimeter security [25] etc. The forest intrusion detection system in [24] uses geophones, accelerometers and magnetometers to detect vehicles entering into or moving around in a protected area. The geophone and accelerometers detect seismic vibrations caused by vehicles from a distance of 2-10 m. In order to increase reliability, the system contains large number of sensors connected over a network to detect vehicles.…”