Design of Wild Animal Detection and Rescue System with Passive Infrared and Ultrasonic Sensor based Microcontroller

Yusman (Department of Electronic Engineering, Politeknik Negeri Lhokseumawe Lhokseumawe, Indonesia)
Aidi Finawan (Department of Instrumentation Engineering, Politeknik Negeri Lhokseumawe Lhokseumawe, Indonesia)
Rusli (Department of Electronic Engineering, Politeknik Negeri Lhokseumawe Lhokseumawe, Indonesia)

Proceedings of MICoMS 2017

eISBN: 978-1-78756-793-1

ISSN: 2516-2853

Publication date: 4 May 2018

Abstract

Purpose – The purpose of this research is to design and build a wild animal pest repellent device with combination of passive infrared (PIR) sensor and ultrasonic signal based on microcontroller as system controller. The PIR sensor is used to detect the presence of wild animal objects and ultrasonic signals to interfere with the hearing.

Design/Methodology/Approach – The design of the system is built based on microcontroller as the system controller. The system as a whole includes hardware and software. The design of hardware consists of the system design on the transmitter side and the system design on the receiver side, while the software in the of system are algorithms using C language programming.

Findings – The resulting repellent device can detect animals approaching up to a distance of 5 m and may interfere with its hearing with a 40 kHz ultrasonic frequency up to a distance of 20 m. The system also uses remote monitoring devices using 433 MHz radio frequency up to a distance of 60 m.

Research Limitations/Implications – Each animal has different hearing frequencies, as well as some wild animals, but the hearing frequencies of wild animals are generally at ultrasonic frequencies. The frequency of animal hearing may vary from audio frequency to ultrasonic frequency, so ultrasonic wave emission testing with varying frequencies is required.

Practical Implications – This research combines systems on transmitters and receivers, with real-time monitoring of wild animal positions, and it can be possible to monitor the position of more detailed animals by installing more types of sensors as well as increasing the number of sensors.

Originality/Value – This paper may provide additional insight into the hearing frequencies of animals and may also serve as comparable papers for similar studies.

Keywords

Citation

Yusman, , Finawan, A. and Rusli, (2018), "Design of Wild Animal Detection and Rescue System with Passive Infrared and Ultrasonic Sensor based Microcontroller", Proceedings of MICoMS 2017 (Emerald Reach Proceedings Series, Vol. 1), Emerald Publishing Limited, Leeds, pp. 415-422. https://doi.org/10.1108/978-1-78756-793-1-00042

Publisher

:

Emerald Publishing Limited

Copyright © 2018, Yusman, Aidi Finawan and Rusli.

License

Published in the Emerald Reach Proceedings Series. Published by Emerald Publishing Limited. This article is published under the Creative Commons Attribution (CC BY 4.0) licence. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this licence may be seen at The full terms of this licence may be seen at http://creativecommons.org/licences/by/4.0/legalcode


1. Introduction

Gardening communities in their management often face pest constraints that can reduce or frustrate the harvest in the future. Wild animals besides disturbing plants can also attack villagers and threaten the safety of the soul. The traditional way of expelling wild animals is by ringing trumpets that are specially made and have been handed down from generation to generation. The trumpet is made of buffalo horns carved in such a way and able to make a sound that makes some wild animals uncomfortable and running. Based on the above problems, it is necessary to have a system or device that can expel or keep wild animals of garden plant predators such as cows, goats, pigs, civets, and monkeys from the plantation area.

The purpose of this research is to design and build wild animal pest repellent device with a combination of passive infrared (PIR) sensor and ultrasonic signal based on microcontroller as a system controller. The method used is that the system emits ultrasonic waves according to the range of hearing frequency of wild animals. The frequency released will have an effect that can interfere with the hearing of wild animals. Objects of wild animals will be detected with PIR sensors, then ultrasonic devices will emit a hearing-loss frequency wave. The system will also transmit the animal zone data detected to the monitoring post with telemetry indicator display.

2. Literature review

2.1. Telemetry

Telemetry is the process of measuring the parameters of an object (objects, space, and natural conditions), in which results show that measurements are sent to other places through the process of sending data either by cable or without using the cable (wireless), then the data are to be used directly or need to be analyzed. In general, the telemetry system consists of six supporting parts, namely measuring object, sensor, transmitter, transmission line, and receiver.

In the purest sense, telemetry is a technology that allows data acquired in one location to be monitored and displayed in another (Dondelinger, 2013). The telemetry system is a remote measurement system with faster data acquisition, more easily, automatically and a wider range of areas. In the telemetry system, the commonly used radio frequencies are Ultra High Freg (UHF) and Very High Freg. (VHF). Their use is possible through 400–500 MHz (UHF) and 100–200 MHz (VHF) frequencies, microwaves (micro wave), radar (radio aid to detection and ranging), satellite, and cellular (GSM and CDMA).

2.2. Sensor PIR

PIR sensor is a sensor used to detect the presence of infrared rays. PIR sensor is passive, meaning this sensor does not emit infrared rays but only receive infrared radiation from outside. One of the PIR sensor modules available on the market is the HC-SR501 type. Figure 1 shows the appearance of PIR HC-SR501 sensor module (Chodon et al., 2013).

Figure 1. Passive Infra Red Sensor Module

Figure 1.

Passive Infra Red Sensor Module

2.3. Arduino uno microcontroller

Arduino-Uno uses the Atmega328 programmable integrated circuit with 6 analog inputs and 14 digital i/o pins. Arduino-Uno operates at 5 V, which is acceptable in most sensor devices (Sidik et al., 2016), 16 MHz ceramic crystal resonators, USB connections, adapter sockets, ICSP header pins, and reset buttons. This is what is needed to support microcontroller easily connected with USB power cable or AC adapter power supply cable to DC or also battery.

2.4. Hearing frequencies of some animals

Hearing frequency test in animals is different from the commonly used method with humans to report voluntarily if there is an audible sound. When determining the frequency range in animals, investigators usually have to first train animals to respond to the sound stimulus provided by choosing between two actions. Table 1 shows estimates of different species of hearing ranges with attempts to apply the same cut-off criteria for all, using data from Fay (1988) and Heffner and Heffner (2007).

Table 1.

Estimated Range of Hearing Frequency of Species

Species Approximate Range (Hz)
Human 64−23,000
Dog 67−45,000
Cat 45−64,000
Cow 23−35,000
Horse 55−33,500
Sheep 100−30,000
Civet 16−44,000

2.5. Radio frequency 433 MHz

Radio frequency is an electromagnetic wave that propagates in space as a basis for many different communication systems. Due to their varied characteristics, radio waves of different frequencies are used not only for broadcasting but also on cordless devices, telephone, television, radar, navigation, and other communications systems such as telemetry systems. The working of 3-pin RF RF315/433 MHz transmitter and receiver modules is as follows in sending/transforming the secrete information (Agarwal, 2017).

3. Research and design method

A physical parameter can be measured using sensors and transducers, the results of sensor measurements can be observed indicators in real-time. However, sometimes the measurement data from the sensor must be observed remotely due to environmental factors, difficult to reach remote places. With some alternative data transmission medium, the measurement data of a physical parameter can be sent and observed remotely using a system called telemetry.

3.1. Hardware design

The hardware system consists of two parts, namely the dispenser part or its detector, and the receiving part or place of monitoring. The sender section serves to detect the presence of objects, in this case the infrared passive sensor that works. PIR sensors are able to detect live objects that move, especially large ones. The sender section also serves to transmit sound waves that interfere with the hearing of wild animals, in this case the ultrasonic sensors that work. The transmitter system is shown in Figure 2(a). While the receiver serves to monitor the movement of wild animals, if in any zone there are wild animals, the system at the receiver will turn on the indicator according to the zones. The indicators will continue to burn until the wild animals move away from the range of ultrasonic waves. The system at the receiver is as shown in Figure 2(b).

Figure 2. Transmitter and Reeiver Block Diagram

Figure 2.

Transmitter and Reeiver Block Diagram

3.2. Software design

The algorithm of the wildlife detection and repulsion system consists of two sides, the algorithm on the transmitter side and the receiving side as in Figure 3(a) and (b).

Figure 3. Flowchart on Transmitter and Receiver Side

Figure 3.

Flowchart on Transmitter and Receiver Side

4. Result and outside

4.1. PIR sensor testing

PIR sensor testing is done using equipment consisting of computer unit, microcontroller, and PIR sensor. The measurement system is configured as shown in Figure 4. This test aims to determine the sensitivity level of PIR sensors to the detection of objects in the form of wild animals.

Figure 4. PIR Sensor Sensitivity Measurement

Figure 4.

PIR Sensor Sensitivity Measurement

Table 2.

PIR Sensor Output Voltage to Animal Detection Distance

Animals PIR sensor voltage based on distance (V)
1 m 2 m 3 m 4 m 5 m 6 m 7 m
Cow 3.3 3.3 3.3 3.3 3.3 0 0
Goat 3.3 3.3 3.3 3.3 3.3 0 0
Monkey 3.3 3.3 3.3 3.3 3.3 0 0
Civet 3.3 3.3 3.3 3.3 3.3 0 0

The result of sensitivity measurement of PIR sensor shows that the voltage of the sensor PIR sensor to wild animal variation is the same that is 3.3 V. This is because the PIR sensor has an output of digital level. This 3.3 V voltage is a digital level for high logic, while 0 V is a digital level for low logic. The range reaches the object indicating that the PIR sensor can still detect at a distance of 5 m for all types of animals tested, as shown in Table 2.

4.2. Ultrasonic sensors testing

Ultrasonic signal testing is performed by making several variations of ultrasonic frequency within the range of hearing of wild animals, as shown in Table 3. Several variations of ultrasonic frequency were tested against four wild animal species including 25 kHz, 30 kHz, 35 kHz, and 40 kHz. This signal is formed through programming on a microcontroller as a wave generator. Ultrasonic signal with a frequency of 25 kHz has a period of 4 × 10−5 s. Then this period of time is divided into two parts, that is, 75% for low signal and 25% for high signal.

Table 3.

Effect of Frequency Ultrasonic Signal on Animals

Frequency 25 kHz 30 kHz 35 kHz 40 kHz
Range of Disturbance (m)
Cow 15 15 20 20
Goat 15 20 20 20
Monkey 15 20 20 20
Civet 15 15 20 20

The effect of 25 kHz ultrasonic signals on animals in Table 3 indicates that all animals tested can be subject to hearing disturbances at a distance of up to 15 m. This ultrasonic wave distance is highly dependent on the radiant power of the signal. The higher the emission power is offset by the ability of ultrasonic devices, the further the radiated distance.

Figure 5. From a 40 kHz Ultrasonic Signal on the Oscilloscope

Figure 5.

From a 40 kHz Ultrasonic Signal on the Oscilloscope

Testing ultrasonic signal with a frequency of 40 kHz has a period of 2.5 × 10−5 s. Then the period of time is divided into two parts, that is, 75% or 18 µs for low signal and 25% or 7 µs for high signal, and waveform at a frequency of 40 kHz is shown in Figure 5. Influence of 40 kHz ultrasonic signal to animals indicates that animals of cow, goats, monkeys, and civets are still subject to hearing distances up to 20 m and have not increased the range of hearing loss as shown in Figure 6.

Figure 6. Graphic Range of Interference versus Ultrasonic Frequency

Figure 6.

Graphic Range of Interference versus Ultrasonic Frequency

5. Conclusion

After implementation design of wild animal detection and rescue system with PIR and ultrasonic sensor based on microcontroller the following conclusions can be drawn:

  • PIR sensor is used to detect animals in the form of cow, goats, monkeys and civets with a voltage output of 3.3 V up to a maximum distance of 5 m.

  • Ultrasonic signal with a frequency of 40 kHz is the highest frequency that can be produced on this wild animal repellent device because of the limitations of ultrasonic speakers used with frequency response 3–40 kHz.

  • Frequency 40 kHz is the most disturbing frequency of hearing of all wild animals that are tested at distances up to 20 m.

References

Agarwal, T. (2017). “RF Module – Transmitter & Receiver”. Available: https://www.elprocus.com/rf-module-transmitter-receiver/.

Chodon, P. (2013). “Passive Infrared (PIR) Sensor Based Security System”. International Journal of Electrical, Electronics and Computer Systems, Vol. 14, No. 2.

Dondelinger, R. (2013). “The Fundamentals of Telemetry Systems”. Biomedical Instrumentation & Technology. Vol. 47, No. 1, pp. 6975.

Fay, R.R. (1988). “Hearing in Vertebrates: A Psychophysics Databook”. Hill-Fay Associates, Winnetka, IL.

Heffner, H.E. and Heffner, R.S. (2007). “Hearing Ranges of Laboratory Animals”. Journal of the American Association for Laboratory Animal Science, Vol. 46, No. 1, pp. 1113.

Sidik, M.A.B., Rusli, M.Q.A., Adzis, Z., Buntat, Z., Arief, Y.Z., Shahroom, H., Nawawi, Z. and Jambak, M.I. (2016). “Arduino-Uno Based Mobile Data Logger with GPS Feature”. TELKOMNIKA, Vol. 13, No. 1, pp. 250259.

All papers within this proceedings volume have been peer reviewed by the scientific committee of the Malikussaleh International Conference on Multidisciplinary Studies (MICoMS 2017).

The authors would like to thank the Unit of Research and Community Service of Lhokseumawe State Polytechnic which has provided funds for the implementation of this research. The authors are also grateful to the Telemetry Laboratory of Electrical Engineering – Lhokseumawe State Polytechnic which has facilitated this research activity.

Corresponding author

Yusman can be contacted at
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Introduction
Acknowledgement I
Acknowledgement II
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