International Journal of Computer Network and Information Security(IJCNIS)
ISSN: 2074-9090 (Print), ISSN: 2074-9104 (Online)
Published By: MECS Press
IJCNIS Vol.10, No.12, Dec. 2018
A Novel Infrared (IR) Based Sensor System for Human Presence Detection in Targeted Locations
Full Text (PDF, 469KB), PP.34-40
Human presence detection is a continuously sought of an issue by the scientific community. Visual camera-based technologies have emerged recently with low cost and easy usage. However, these technologies have been increased the user privacy issues. Hence it is highly essential to design a human detection system without compromising the user privacy, comfort, cost and easy deployment. The pyroelectric infrared (PIR) based sensor systems are introduced however this technology is incapable to detect the presence of stationary human because it can detect the fluctuating signals only. In this paper, we have proposed a novel infrared (IR) based sensor system to detect the human presence either mobile or immobile in targeted locations with high accuracy. The proposed infrared (IR) sensor is designed to sense the heat radiation emitted by the human body, it detects the human presence accurately in targeted locations. The proposed IR based sensor system has successfully deployed in a targeted location and tested successfully for detecting the human presence and also other objects.
Cite This Paper
Kakelli Anil Kumar, Omkar Dhadge,"A Novel Infrared (IR) Based Sensor System for Human Presence Detection in Targeted Locations", International Journal of Computer Network and Information Security(IJCNIS), Vol.10, No.12, pp.34-40, 2018.DOI: 10.5815/ijcnis.2018.12.04
A. D. Alzughaibi, H. A. Hakami, and Z. Chaczko., Review of Human Motion Detection based on Background Subtraction Techniques. International Journal of Computer Applications, 2015, 122(13):975–8887.
S. Narayana, R. V. Prasad, V. S. Rao, T. V. Prabhakar, S. S. Kowshik, and M. S. Iyer., PIR sensors: characterization and novel localization technique. 14th Int. Conf. on Information Processing in Sensor Networks, 2015, 142–153.
K. Lee, C. Y. Choo, H. Q. See, Z. J. Tan, and Y. Lee., Human detection using Histogram of Oriented Gradients and human body ratio estimation. Proceedings of 3rd IEEE International Conference on Computer Science and Information Technology, 2010, 4: 18–22.
M. Hein, R. Stöber, M. Meiler, D. Schaller, R. Zehle, G. Fischerauer, J. Bauer, J. Bürner, T. Becher, M. Feller, and J. Maul., Sensor solutions for an energy-efficient and user-centered heating system. Journal of Sensors and Sensor Systems, 2017, 6(1):27–35.
R. Bogue., Recent developments in MEMS sensors: a review of applications, markets and technologies. Sensor Review, 2013, 33(4):300–304.
M. Popescu, B. Hotrabhavananda, M. Moore, and M. Skubic., VAMPIR - An Automatic Fall Detection System Using a Vertical PIR Sensor Array. Proceedings of the 6th International Conference on Pervasive Computing Technologies for Healthcare, 2015.
X. Jin, S. Member, S. Sarkar, A. Ray, and S. Gupta., Target Detection and Classification Using Seismic and PIR Sensors. IEEE Sensors Journal, 2012, 12(6):1709–1718.
L. Wang., Human infrared signal recognition using single PIR detector. Proceedings of 4th International Congress on Image and Signal Processing, 2011, 5:2664–2668.
A. Gupta and B. Thomas., A New Revolutionary Infrared Life Detection System Using ATmega168. International Journal of Embedded Systems and Applications, 2012, 2(3):117–122.
C. Deutsch, R. Krger, K. Saito, S. Yamashita, Y. Sawanoi, B. Beime, and P. Bramlage., Comparison of the Omron RS6 wrist blood pressure monitor with the positioning sensor on or off with a standard mercury sphygmomanometer. Blood Pressure Monitoring, 2014, 19(5):306–313.
S. Parnin and M. M. Rahman., Human Location Detection System Using Micro-Electromechanical Sensor for Intelligent Fan. IOP Conference Series: Materials Science and Engineering, 2017, 184:1.
A. A. S. Mohammed, W. A. Moussa, and E. Lou., High-performance piezoresistive MEMS strain sensor with low thermal sensitivity. Sensors, 2011, 11(2):1819–1846.
S. Ferdoush and X. Li., Wireless sensor network system design using Raspberry Pi and Arduino for environmental monitoring applications. Procedia Computer Science, 2014, 34:103–110.
J. T. W. Kuo, L. Yu, and E. Meng., Micromachined thermal flow sensors-A review Micromachines, 2012, 3(3):550–573.
A. A. Chandra, Y. Lee, B. M. Kim, S. Y. Maeng, S. H. Park, and S. R. Lee., Review on sensor cloud and its integration with arduino based sensor network. International Conference on IT Convergence and Security, 2013.
F. Erden and A. Çetin., Hand gesture based remote control system using infrared sensors and a camera. IEEE Transactions on Consumer Electronics, 2014, 60(4):675–680.