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i-manager's Journal on Embedded Systems (JES)

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Volume 9 Issue 2 January - June 2021

Research Paper

Implementation of Electronic Nose to Detect LPG Leakage

S. N. Patil * , S. R. Ghatge , A. M. Pawar *

, Department of Electronics, Tuljaram Chaturchand College of Arts, Science and Commerce, Baramati, Maharashtra, India.

Department of Electronics, Gopal Krishna Ghokhale College, Kolhapur, Maharashtra, India.

Patil, S. N., Ghatge, S. R., and Pawar, A. M. (2021). Implementation of Electronic Nose to Detect LPG Leakage. i-manager's Journal on Embedded Systems, 9(2), 1-6. https://doi.org/10.26634/jes.9.2.17990

Abstract

The application of smart electronic instruments to detect leakage of inflammable or poisonous gases in the environment has significant importance in agricultural, industrial, smart home, and domestic applications. Detecting LPG through an early warning system at home, hotels, restaurants, and LPG warehouses can prevent fire accidents and save lives and avoid economic losses. Recent developments in digital electronics technology are more reliable in designing smart electronic systems to sense gas, and measure its concentration numerically. Using the AVR Atmega16 microcontroller on-chip tools, an electric nose design has been developed to detect LPG leakage. For present system, LPG sensor Figaro 813 and ferrite based sensor interfaced with on-chip ADC of AVR microcontroller has been used. It has a high level of agreement with the actual values and can detect the presence of LPG due to a leakage. In this paper, the results of both sensors are interpreted. The device is primarily intended to assist and enhance the security of smart kitchens.

References

[1]. Ladgaonkar, B. P., Patil, S. N. (2011). Designing of data acquisition system for susceptibility measurement. International Journal of Electrical Engineering and Embedded Systems (IJEEES), 3(2), 87-93.

[2]. Ladgaonkar, B. P., Patil, S. N., & Tilekar, S. K. (2013). Development of Ni-Zn Ferrite based smart humidity sensor module by using mixed signal programmable system-onchip. In Applied Mechanics and Materials (Vol. 310, pp. 490-493). Trans Tech Publications Ltd.

[3]. Patil, S. N., Ladgaonkar, B. P., Tilekar, S. K., Deshpande, J. D., & Pawar, A. M. (2019a). Investigation of temperature sensitive electrical properties of manganese-zinc ferrites. i-manager's Journal on Physical Sciences (JPHY),1(1), 16- 23.

[4]. Patil, S. N., & Ladgaonkar, B. P. (2013). Synthesis and implementation of NiZnFe₂O₄ ferrites to design embedded system for humidity measurement. Synthesis, 2(8), 3813- 3821.

[5]. Patil, S. N., & Pawar, A. M. (2020). Design of smart embedded system for detection of ammonia gas. i-manager's Journal on Embedded Systems, 9(1), 1-5. https://doi.org/10.26634/jes.9.1.17844

[6]. Patil, S. N., Deshpande, J. D., Tilekar, S. K., Ladgaonkar, B. P., & Pawar, A. M. (2020a). Synthesis and implementation of polycrystalline ferrite material for smart sensor module. Materials Today: Proceedings. https://doi.org/10.1016/j. matpr.2020.07.139

[7]. Patil, S. N., Ladgaonkar, B. P., & Pawar, A. M. (2019b). Carbon dioxide gas sensing property of nickel substituted zinc ferrite. i-manager's Journal on Material Science, 7(2), 42-53. https://doi.org/10.26634/jms.7.2.15161

[8]. Patil, S. N., Pawar, A. M., & Ladgaonkar, B. P. (2017a). Synthesis and deployment of nanoferrites to design embedded system for monitoring of ammonia gas. International Journal of Advances in Engineering & Technology (IJAET), 6(I) , 27-31.

[9]. Patil, S. N., Pawar, A. M., Deshpande, J. D., & Ladgaonkar, B. P. (2017b). Comparative study of ferrite based humidity sensor for smart sensor module design. International Research Journal of Science and Engineering (IRJSE), 1, 203-209.

[10]. Patil, S. N., Pawar, A. M., Tilekar, S. K., & Ladgaonkar, B. P. (2016). Investigation of magnesium substituted nano particle zinc ferrites for relative humidity sensors. Sensors and Actuators A: Physical, 244, 35-43.

[11]. Patil, S. N., Pawar, A. M., Tilekar, S.K., & Ladgaonkar, B. P. (2020b). Development of an embedded system for measurement of temperature based on polycrystalline ferrite material. International Journal of Electrical Electronics & Computer Science Engineering, 5(1), 152- 157.

[12]. Pawar, A. M., Deshpande, J. D., & Patil, S. N. (2020a). Development of an embedded system to measure soil moisture. i-manager's Journal on Embedded Systems, 9(1), 12-17. https://doi.org/10.26634/jes.9.1.17718

[13]. Pawar, A. M., Deshpande, J. D., & Patil, S. N. (2020b). Development of smart electronic system to implement smart home. i-manager's Journal on Digital Signal Processing, 8(1), 15-26. https://doi.org/10.26634/jdp.8.1. 17782

[14]. Pawar, A. M., Patil, S. N., & Ghatage, S. R. (2021). Development of wireless sensor node for automization in restaurant services. International Research Journal of Engineering and Technology (IRJET), 08(03), 3034-3037.

[15]. Pawar, A. M., Patil, S. N., & Ladgaonkar, B. P. (2014). Design and implementation of wireless sensor node for WSN for automatic meter reading. International Journal of Recent Research in Mathematics Computer Science and Information Technology, 1(1), 28-31.

[16]. Pawar, A. M., Patil, S. N., Powar, A. S., & Ladgaonkar, B. P. (2013). Wireless sensor network to monitor spatiotemporal thermal comfort of polyhouse environment. International Journal of Innovative Research in Science, Engineering and Technology, 2(10), 4866-4875.

[17]. Tilekar, S. K., Patil, S. N., Shaikh, S. S., Pawar, A. M., & Ladgaonkar, B. P. (2011). Development and implementation of an embedded system to measure initial permeability of magnetic materials. International Journal of Electronic Engineering Research, 3(1), 21-28.

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Research Paper

Autonomous Vehicle using Computer Vision and LiDAR

Sanjay Mate* , Vrushali Pagire **

* Department of Electronics and Communication Engineering, MIT World Peace University, Pune, Maharashtra, India.

** Government Polytechnic, Daman, Daman & Diu, India.

Pagire, V., and Mate, S. (2021). Autonomous Vehicle using Computer Vision and LiDAR. i-manager's Journal on Embedded Systems, 9(2), 7-14. https://doi.org/10.26634/jes.9.2.18064

Abstract

The autonomous vehicle is one of the challenging tasks in the automobile sector. In traditional driving, the human driver takes all control over the operation of the vehicle but in the autonomous vehicle, the human driver does not have any control, instead the control is with the real-time decision making computer. For the autonomous vehicle, path planning and the perception of the obstacles are very important. In the proposed work, the algorithms for path planning, object detection, and the Lane Keeping Assist system are implemented. The simulation results of all the algorithms are given in this paper.

References

Changhao, J., Miaohua, H., & Liyang, S. (2020, December). An autonomous vehicle motion planning method based on dynamic programming. In 2020 17^th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) (pp. 394-398). IEEE. https://doi.org/10.1109/ ICCWAMTIP51612.2020.9317333

[2]. Choi, Y., Kang, D., Lee, S., & Kim, Y. (2009, August). The autonomous platoon driving system of the on line electric vehicle. In 2009 ICCAS-SICE (pp. 3423-3426). IEEE.

[3]. Desheng, X., Youchun X., & Rendong W. (2017). Obstacle detection and tracking method for autonomous vehicles based on three-dimensional LiDAR. International Journal of Advanced Robotic Systems, 16(2), 1729881419831587. https://doi.org/10.1177/1729881419 831587

[4]. Huang, A. S. (2010). Lane estimation for autonomous vehicles using vision and LiDAR (Doctoral dissertation), Massachusetts Institute of Technology, USA.

[5]. Iqbal, A. (2020). Obstacle detection and track detection in autonomous cars. In Autonomous Vehicle and Smart Traffic (p. 65). Intech. https://doi.org/10.5772/intech open.89917

[6]. McCrae, S., & Zakhor, A. (2020, October). 3D object detection for autonomous driving using temporal LiDAR data. In 2020 IEEE International Conference on Image Processing (ICIP) (pp. 2661-2665). IEEE. https://doi.org/ 10.1109/ICIP40778.2020.9191134

[7]. Penmetsa, P., Adanu, E. K., Wood, D., Wang, T., & Jones, S. L. (2019). Perceptions and expectations of autonomous vehicles–A snapshot of vulnerable road user opinion. Technological Forecasting and Social Change, 143, 9-13. https://doi.org/10.1016/j.techfore.2019.02.010

[8]. Rangesh, A., & Trivedi, M. M. (2019). No blind spots: Fullsurround multi-object tracking for autonomous vehicles using cameras and LiDARs. IEEE Transactions on Intelligent Vehicles, 4(4), 588-599. https://doi.org/10.1109/TIV.2019. 2938110

[9]. Sakai, K., & Murakami, T. (2016, October). A fusion control of master steering input and automatic assisted control for teleoperated electric vehicle. In IECON 2016- 42nd Annual Conference of the IEEE Industrial Electronics Society (pp. 469-474). IEEE. https://doi.org/10.1109/IECON. 2016.7793501

[10]. Sung, K., Min, K., & Choi, J. (2018, February). Driving information logger with in-vehicle communication for autonomous vehicle research. In 2018 20th International Conference on Advanced Communication Technology (ICACT) (pp. 300-302). IEEE. https://doi.org/10.23919/ ICACT.2018.8323732

[11]. Wang, F., Xian, B., Huang, G., & Zhao, B. (2013, July). Autonomous hovering control for a quadrotor unmanned aerial vehicle. In Proceedings of the 32^nd Chinese Control Conference (pp. 620-625). IEEE.

[12]. Wu, P., Dou, Z., Cui, M., Liu, H., Niu, Z., & Liu, G. (2019, October). An automatic driving algorithm for outdoor wheeled unmanned vehicle. In 2019 International Conference on Control, Automation and Information Sciences (ICCAIS) (pp. 1-6). IEEE. https://doi.org/10.1109/ ICCAIS46528.2019.9074677

[13]. Xiong,G., Zhou, P., Zhou, S., Zhao, X., Zhang, H., Gong, J., & Chen, H. (2010, June). Autonomous driving of intelligent vehicle BIT in 2009 future challenge of China. In 2010 IEEE Intelligent Vehicles Symposium (pp. 1049-1053). IEEE. https://doi.org/10.1109/IVS.2010.5548147

[14]. Yang, L., Sun, D., Xie, F. & Zhu J. (2016). Study of autonomous platoon vehicle longitudinal modeling. IET International Conference on Intelligent and Connected Vehicles.

[15]. Zakaria, M. A., Zamzuri, H., & Mazlan, S. A. (2016, February). Dynamic curvature steering control for autonomous vehicle: performance analysis. In IOP Conference Series: Materials Science and Engineering (Vol. 114, No. 1). IOP Publishing. https://doi.org/10.1088/ 1757-899X/114/1/012149

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Research Paper

IoT based Tracking System for Two Wheelers

Ramprakaash K.* , Rahul E. , Rahul T. R. , Rajesh K. , Surender R.

*-***** Department of Electronics and Communication Engineering, Rajalakshmi Engineering College, Chennai, Tamil Nadu, India.

Ramprakaash, K., Rahul, E., Rahul, T. R., Rajesh, K., and Surender, R. (2021). IoT based Tracking System for Two Wheelers. i-manager's Journal on Embedded Systems, 9(2), 15-21. https://doi.org/10.26634/jes.9.2.18169

Abstract

In the present, vehicles are a true asset which has facilitated our transportation. The safety of the automobile has become a matter of concern as the theft of vehicles is growing with the rise in vehicles. Owners are concerned on the safety of the vehicle as thieves have become innovative in their methods. Modern thieves are equipped technically to overpower present security systems in automobiles. Our proposed system consists of two parts, the first part consists of Android based application which can be installed in the user's mobile and the second part is the hardware prototype that can be installed in the vehicle. Our application continuously tracks the movement of vehicle and updates in the user's mobile. The owner will be notified via message if there is an attempt to steal the two-wheeler and it will get updated in the user's digital watch. Even though there are many safety systems in the market, our system is unique because it contains the fuel indicator to prevent fuel theft and RFID to prevent duplicate keying. Buzzer warns the nearby individuals about the robbery by an alarming sound when the parking lot lacks a network.

References

[1]. Batcha, M. K., Basha, A. M., Ahamed, A. A., Nandakumar, P., & Balaji, S. (2016). Advanced vehicle theft security system using can technology. International Journal of Emerging Technology in Computer Science & Electronics (IJETCSE), 21(2), 54-57.

[2]. Kohno, E., Ohta, T., & Kakuda, Y. (2009, March). Secure decentralized data transfer against node capture attacks for wireless sensor networks. In 2009 International Symposium on Autonomous Decentralized Systems (pp. 1- 6). IEEE. https://doi.org/10.1109/ISADS.2009.5207366

[3]. Mori, Y., Kojima, H., Kohno, E., Inoue, S., Ohta, T., Kakuda, Y., & Ito, A. (2011, March). A self-configurable new generation children tracking system based on mobile ad hoc networks consisting of Android mobile terminals. In 2011 Tenth International Symposium on Autonomous Decentralized Systems (pp. 339-342). IEEE. https://doi.org/ 10.1109/ISADS.2011.51

[4]. Nandakumar, C., Muralidaran, G., & Tharani, N. (2014). Real time vehicle security system through face recognition. International Review of Applied Engineering Research, 4(4), 371-378.

[5]. Narkhede, S. K., Tanwani, B. P., Borse, V. P., Jadhav, I. S., & Dhanke, M. D. (2017). Two-wheeler security system. International Research Journal of Engineering and Technology (IRJET), 4(5), 3058-3061.

[6]. Otsason, V., Varshavsky, A., LaMarca, A., & De Lara, E. (2005, September). Accurate GSM indoor localization. In International Conference On Ubiquitous Computing (pp. 141-158). Heidelberg, Berlin: Springer. https://doi.org/10.10 07/115512019

[7]. Prashantkumar, R., Sagar, V. C., Santosh, S., & Nambiar, S. (2013). Two wheeler vehicle security system. International Journal of Engineering Sciences & Emerging Technologies, 6(3), 324-334.

[8]. Rana, S., Mewari, R., & Nautiyal, L. (2018). Anti-theft security system for vehicles. International Journal of Engineering & Technology, 7(4), 42-46. https://doi.org/10.14419/ijet.v7i4.12.20990

[9]. Saranya, J., & Selvakumar, J. (2013, April). Implementation of children tracking system on android mobile terminals. In 2013 International Conference on Communication and Signal Processing (pp. 961-965). IEEE. https://doi.org/10.1109/iccsp.2013.6577199

[10]. Singh, P., Sethi, T., Biswal, B. B., & Pattanayak, S. K. (2015). A smart anti-theft system for vehicle security. International Journal of Materials, Mechanics and Manufacturing, 3(4), 249-254. https://doi.org/10.7763/IJM MM.2015.V3.205

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Research Paper

Internet of Things (IoT) based Irrigation and Soil Nutrient Management System

Sanjay Mate*

Department of Information Technology, Government Polytechnic, Daman, Daman & Diu, India.

Mate, S. (2021). Internet of Things (IoT) based Irrigation and Soil Nutrient Management System. i-manager's Journal on Embedded Systems, 9(2), 22-28. https://doi.org/10.26634/jes.9.2.18072

Abstract

The crop yield is mainly based on the amount of nutrient present in the soil. The objective of this research is to develop Internet of Thing (IoT) based smart irrigation system that will monitor and balance soil nutrient with adequate and efficient water utilization according to the climate and need for the specific crop system. The benefit of this system would reduce human intervention in the agricultural field and smartly manage farming by monitoring some of the parameters like pH, fertilizers and micronutrient of the soil. A microcontroller like the Arduino Uno R3 series and a set of soil parameter sensors were used with a programmed device. Such a program can be handled by any phone working on Android platform with a good user interface and proper notification regarding soil related issues. This application will be helpful for landlords, farmers and farm workers as they do not need technical knowledge in maintaining a farmland.

References

[1]. Abdel-Kader, H., Abd-El Salam, M., & Mohamed, M. (2018). Hybrid machine learning model for rainfall forecasting. Journal of Intelligent Systems and Internet of Things, 1(1), 5-12. https://doi.org/10.5281/zenodo.3376685

[2]. Charumathi, S., Kaviya, R. M., Kumariyarasi, J., Manisha, R., & Dhivya, P. (2017). Optimization and control of hydroponics agriculture using IOT. Asian Journal of Appied Science and Technology, 1(2), 96-98.

[3]. Hamrita, T. K., Deal, K., Gant, S., & Selsor, H. (2021). Precision agriculture: An overview of the field and women's contributions to it. In Hamrita T. (Ed.) Women in Precision Agriculture, (pp. 1-34). Women in Engineering and Science. Cham: Springer. (pp. 1-34). https://doi.org/10.10 07/978-3-030-49244-1_1

[4]. Jain, S., Alam, M. A., & Bokhari, M. U. (2021). Future hydroponic systems using IOT for sustainable agriculture. In International Conference on ICT for Digital, Smart, and Sustainable Development (ICIDSSD) 2020. https://doi.org/ 10.4108/eai.27-2-2020.2303233

[5]. Kamelia, L., Nugraha, Y. S., Effendi, M. R., & Priatna, T. (2019, July). The IoT-based monitoring systems for humidity and soil acidity using wireless communication. In 2019 IEEE 5th International Conference on Wireless and Telematics (ICWT) (pp. 1-4). IEEE. https://doi.org/10.1109/ICWT47785. 2019.8978243

[6]. KaurN.,& Deep G. (2021). IoT-based brinjal crop monitoring system. In Smart Sensors for Industrial Internet of Things (Technology, Communications, and Computing). Cham: Springer. https://doi.org/10.1007/978-3-030-526 24-5_15

[7]. Khoa, T. A., Man, M. M., Nguyen, T. Y., Nguyen, V., & Nam, N. H. (2019). Smart agriculture using IoT multi-sensors: A novel watering management system. Journal of Sensor and Actuator Networks, 8(3). https://doi.org/10.3390/jsan 8030045

[8]. Luster, J. (n.d.). Measurement tools: Soil systems. In Environmental Systems (Vol I): Encyclopedia of Life Support Systems (EOLSS).

[9]. Madaswamy, M. (2020). Digitalization of agriculture in India: Application of IoT, robotics and informatics to establish farm extension 4.0. Journal of Informatics and Innovative Technologies (JIIT), 4(2), 23-32.

[10]. Manjula, E., & Djodiltachoumy, S. (2017). Data mining technique to analyze soil nutrients based on hybrid classification. International Journal of Advanced Research in Computer Science, 8(8), 505-510. https://doi.org/10.26 483/ijarcs.v8i8.4794

[11]. Report and Data. (2020, January 16). Agricultural Sensors Market Analysis, By Type (Location Sensors, Humidity Sensors, Electrochemical Sensors, Airflow Sensors, Optical Sensors, Pressure Sensors, Water Sensors, Soil Sensors, Livestock Sensors), By Application Forecasts To 2026. Marketysers Global Consulting LLP. Retrieved from https://www.reportsanddata.com/report-detail/agricultur al-sensors-market

[12]. Ullah, R., Abbas, A. W., Ullah, M., Khan, R. U., Khan, I. U., Aslam, N., & Aljameel, S. S. (2021). EEWMP: An IoT-based energy-efficient water management platform for smart irrigation. Scientific Programming. https://doi.org/10.115 5/2021/5536884

[13]. Wasson, T., Choudhury, T., Sharma, S., & Kumar, P. (2017, August). Integration of RFID and sensor in agriculture using IoT. In 2017 International Conference On Smart Technologies For Smart Nation (SmartTechCon) (pp. 217- 222). IEEE. https://doi.org/10.1109/smarttechon.2017.83 58372

[14]. Whalen, J. K. (2021). Perspectives to increase the precision of soil fertility management on farms. In Hamrita T. (Ed.) Women in Precision Agriculture, (pp. 55-68). Women in Engineering and Science. Cham: Springer. https://doi. org/10.1007/978-3-030-49244-1

[15]. Zhang, M., Wang, N., & Chen, L. (2021). Sensing technologies and automation for precision agriculture. In Hamrita T. (Ed.) Women in Precision Agriculture, (pp. 35-54). Women in Engineering and Science. Cham: Springer. https://doi.org/10.1007/978-3-030-49244-1

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Research Paper

A Smart Shoe for Visually Impaired People

Prasanna Devi* , Mohana Priya K. , Meenakkshi Palanisamy , Priya S. , Pruthvi Raj R.

*-***** Department of Electronics and Communication Engineering, Dr. NGP Institute of Technology, Coimbatore., Tamilnadu, India.

Devi, P., Priya, M. K., Palanisamy, M., Priya, S., and Raj, P. R. (2021). A Smart Shoe for Visually Impaired People. i-manager's Journal on Embedded Systems, 9(2), 29-35. https://doi.org/10.26634/jes.9.2.18146

Abstract

Blindness is a very common and intolerable disability compared to other disabilities. The smart shoe comes as a proposed solution to enable them to walk around the world. In this paper, we propose a solution based on the design of a smart shoe system to help visually impaired people. The proposed visually impaired (VI) system is developed to assist the visually impaired people with three modules (i). obstacle detection and recognition, (ii). tracking and, (iii). real time location sharing. The system is based on a Raspberry pi with synthesized speech output. This aid is portable and provides information to the user about step-by-step walking routes to the destination. The proposed system uses camera to detect and identify the obstacle and send the audio output to the user. This system also includes GPS module to track the visually impaired people with the help of accelerometer and send the alert message and real time location sharing to the caretaker if there is an emergency. Due to the piezoelectric effect, the LED can glow to indicate another person to avoid accidents during nighttime.

References

[1]. Abu-Faraj, Z. O., Jabbour, E., Ibrahim, P., & Ghaoui, A. (2012, October). Design and development of a prototype th rehabilitative shoes and spectacles for the blind. In 2012 5 International Conference on BioMedical Engineering and Informatics (pp. 795-799). IEEE.

[2]. Al-Fahoum, A. S., Al-Hmoud, H. B., & Al-Fraihat, A. A. (2013). A smart infrared microcontroller-based blind guidance system. Active and Passive Electronic Components. https://doi.org/10.1155/2013/726480

[3]. Arote, A., Bankar, S., Dedge, P., & Deshpande, K. (2017). Smart shoe for route tracking. International Research Journal of Engineering and Technology (IRJET), 5(1), 469-473.

[4]. Chowdhury, R., Kumar, S., Suman, S., & Manna, A. (2020). IoT based shoe eye strewing new–fangled vision for visually impaired ones. In International Conference on Innovative Computing and Communication (ICICC-2020).

[5]. Divija, M. V. S., Rohitha, M., Meghana, T, Monisha, H., Raveendra, (2018). Integrated smart shoe for blind people. International Conference on Recent Innovations in Science and Engineering.

[6]. Garcia-Macias, J. A., Ramos, A. G., Hasimoto- Beltran, R., & Hernandez, S. E. P. (2019). Uasisi: A modular and adaptable wearable system to assist the visually impaired. Procedia Computer Science, 151, 425-430. https://doi. org/10.1016/j.procs.2019.04.058

[7]. Joshi, M. S., Katke, B. K. C., & Gaware, M. S. (2020). The design of the ultrasonic walking stick for the blind. Resincap Journal of Science and Engineering, 4(3), 942-945.

[8]. Khairnar, D. P., Karad, R. B., Kapse, A., Kale, G., & Jadhav, P. (2020, April). Partha: A visually impaired assistance system. In 2020 3rd International Conference on Communication System, Computing and IT Applications (CSCITA) (pp. 32- 37). IEEE. https://doi.org/10.1109/CSCITA47329.2020.913779 1

[9]. Koli, P. S., Chavan, N. S., & Gaikar, S. G. (2019). Construction of smart shoe system for visually impaired people. International Journal of Research and Analytical Reviews, 6(1), 2349-5138.

[10]. Krishnakumar, S., Mridha, B., Naves, M. N., & Kowsalya, K. (2017, September). Intelligent walker with obstacle detection technology for visually challenged people. In 2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI) (pp. 2863- 2867). IEEE. https://doi.org/10.1109/ICPCSI. 2017.8392244

[11]. Kumar, S. N., Varun, K., & Rahman, J. M. (2019). Object recognition using perspective glass for blind/visually impaired. Journal of Embedded Systems and Processing, 4(1), 31-37. http://doi.org/ 10.5281/zenodo.2624630

[12]. Mahmud, N., Saha, R. K., Zafar, R. B., Bhuian, M. B. H., & Sarwar, S. S. (2014, May). Vibration and voice operated navigation system for visually impaired person. In 2014 International Conference on Informatics, Electronics & Vision (ICIEV) (pp. 1- 5). IEEE. https://doi.org/10.1109/ICIEV. 2014.6850740

[13]. Nada, A., Mashelly, S., Fakhr, M. A., & Seddik, A. F. (2015, April). Effective fast response smart stick for blind people. In Proceedings of the Second International Conference on Advances in Bioinformatics and Environmental Engineering– ICABEE.

[14]. Ojeda, L., & Borenstein, J. (2007). Non-GPS navigation for security personnel and first responders. Journal of Navigation, 60(3), 391- 407.

[15]. Pardasani, A., Indi, P. N., Banerjee, S., Kamal, A., & Garg, V. (2019, February). Smart assistive navigation devices for visually impaired people. In 2019 IEEE 4^th International Conference on Computer and Communication Systems (ICCCS) (pp. 725-729). IEEE. https://doi.org/10.11 09/CCOMS.2019.8821654

[16]. Rahman, M. W., Islam, R., & Harun-Ar- Rashid, M. (2018). IoT based blind person's stick. International Journal of Computer Applications, 182(16), 19-21.

[17]. Rao, S. N., D'silva, C., & Parthasarathy, V. (2017, February). Evaluation of a smartphone keyboard for the visually challenged. In 2017 Second International Conference on Electrical, Computer and Communication Technologies (ICECCT) (pp. 1- 4). IEEE.

[18]. Resnikoff, S., Pascolini, D., Etya'Ale, D., Kocur, I., Pararajasegaram, R., Pokharel, G. P., & Mariotti, S. P. (2004). Global data on visual impairment in the year 2002. Bulletin of the World Health Organization, 82, 844-851.

[19]. Sahoo, N., Lin, H. W., & Chang, Y. H. (2019). Design and implementation of a walking stick aid for visually challenged people. Sensors, 19(1), 130-147.

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[21]. Sohan, N., Ruthuja, S. U., Rishab, H. S., & Shashidhar, R. (2018, November). Smart assistive shoes for blind. In International Conference on Computational Vision and Bio Inspired Computing (pp. 619-625). Cham: Springer. https://doi.org/10.1007/978-3-030- 41862-5_61

[22]. Srinivas, K. S., Sahithya, K., Tejaswi, G. L., Gopal, K. H., Karthik, B. P. (2020). A new method for recognition and obstacle detection for visually challenged using smart glasses powered with Raspberry Pi. International Journal of Engineering Applied Sciences and Technology, 5(1).

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Research Paper

Assistance to Isolated Covid Patients using Pill Dispenser

Deepika Sharma * , Rajeev Ranjan Nayak , Suraj Prakash *, Preksha Sahu **, Nikita Chouhan *, Mukesh Kumar Chandrakar ****

*-****** Department of Electrical and Electronics Engineering, Bhilai Institute of Technology, Durg, Chhattisgarh, India.

Sharma, D., Nayak, R. R., Prakash, S., Sahu, P., Chouhan, N., and Chandrakar, M. K. (2021). Assistance to Isolated Covid Patients using Pill Dispenser. i-manager's Journal on Embedded Systems, 9(2), 36-42. https://doi.org/10.26634/jes.9.2.18038

Abstract

The objective of the paper is to present a smart pill dispenser prototype which would help health workers during this COVID- 19 pandemic. The design of this dispenser is to make medicine available to the patients who are in isolation. The medicine is refilled by a caretaker/medical staff at the dispensing chamber controlled by servomotor. A Buzzer is connected to remind the patient to take medicine. The feature of this prototype confirms that the medicine is taken by using IR sensor at the faucet of the medicine dispenser. Also, by using IoT module, tracking of the medicine consumption is recorded. This paper is focused on two areas, avoiding contact between patient and administration and confirming the intake of medicine.

References

[1]. Al-Haider, A. J., Al-Sharshani, S. M., Al-Sheraim, H. S., Subramanian, N., Al-Maadeed, S., & ZiedChaari, M. (2020, February). Smart medicine planner for visually impaired people. In 2020 IEEE International Conference on Informatics, IoT, and Enabling Technologies (ICIoT) (pp. 361-366). IEEE. https://doi.org/10.1109/ICIoT48696.2020. 9089536

[2]. Al-Shammary, R., Mousa, D., & Esmaeili, S. E. (2018). The design of a sensible medicine box. In Iranian Conference on Electrical Engineering (pp. 130-134). https://doi.org/10.1109/ICEE.2018.8472586

[3]. Antoun, W., Abdo, A., Al-Yaman, S., Kassem, A., Hamad, M., & El-Moucary, C. (2018, March). Smart medicine dispenser (SMD). In 2018 IEEE 4^th Middle East Conference on Biomedical Engineering (MECBME) (pp. 20-23). IEEE. https://doi.org/10.1109/MECBME.2018.8402 399

[4]. Chen, B., & Zhou, K. (2019, September). Design of docker-based cloud platform for smart medicine box. In 2019 4^th International Conference on Intelligent Green Building and Smart Grid (IGBSG) (pp. 199-202). IEEE. https://doi.org/10.1109/IGBSG.2019.8886265

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[7]. Ranjana, P., & Alexander, E. (2018, December). Health alert and medicine remainder using Internet of Things. In 2018 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC) (pp. 1-4). IEEE. https://doi.org/10.1109/ICCIC.2018.8782349

[8]. Rolim, C. O., Koch, F. L., Westphall, C. B., Werner, J., Fracalossi, A., & Salvador, G. S. (2010, February). A cloud computing solution for patient's data collection in health care institutions. In 2010 Second International Conference on eHealth, Telemedicine, and Social Medicine (pp. 95- 99). IEEE. https://doi.org/10.1109/eTELEMED.2010.19

[9]. Srinivas, M., Durgaprasadarao, P., & Raj, V. N. P. (2018, January). Intelligent medicine box for medication management using IoT. In 2018 2nd International Conference on Inventive Systems and Control (ICISC) (pp. 32-34). IEEE. https://doi.org/10.1109/ICISC.2018.8399097

[10]. Zeidan, H., Karam, K., Hayek, A., & Boercsoek, J. (2018, November). Smart medicine box system. In 2018 IEEE International Multidisciplinary Conference on Engineering Technology (IMCET) (pp. 1-5). IEEE. https://doi. org/10.1109/IMCET.2018.8603031

[11]. Zhang, T., Liu, Z., Cao, X., & Xia, W. (2015, October). Intelligent medicine box monitoring and management system. In 2015 International Conference on Computer Science and Mechanical Automation (CSMA) (pp. 153- 156). IEEE. https://doi.org/10.1109/CSMA.2015.37

i-manager's Journal on Embedded Systems (JES)

Current Issue Vol. 12 Issue 1

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Volume 9 Issue 2 January - June 2021

Implementation of Electronic Nose to Detect LPG Leakage

S. N. Patil * , S. R. Ghatge **, A. M. Pawar ***

*,*** Department of Electronics, Tuljaram Chaturchand College of Arts, Science and Commerce, Baramati, Maharashtra, India. ** Department of Electronics, Gopal Krishna Ghokhale College, Kolhapur, Maharashtra, India.

Patil, S. N., Ghatge, S. R., and Pawar, A. M. (2021). Implementation of Electronic Nose to Detect LPG Leakage. i-manager's Journal on Embedded Systems, 9(2), 1-6. https://doi.org/10.26634/jes.9.2.17990

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Autonomous Vehicle using Computer Vision and LiDAR

Sanjay Mate* , Vrushali Pagire **

* Department of Electronics and Communication Engineering, MIT World Peace University, Pune, Maharashtra, India. ** Government Polytechnic, Daman, Daman & Diu, India.

Pagire, V., and Mate, S. (2021). Autonomous Vehicle using Computer Vision and LiDAR. i-manager's Journal on Embedded Systems, 9(2), 7-14. https://doi.org/10.26634/jes.9.2.18064

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IoT based Tracking System for Two Wheelers

Ramprakaash K.* , Rahul E. **, Rahul T. R. ***, Rajesh K. ****, Surender R. *****

*-***** Department of Electronics and Communication Engineering, Rajalakshmi Engineering College, Chennai, Tamil Nadu, India.

Ramprakaash, K., Rahul, E., Rahul, T. R., Rajesh, K., and Surender, R. (2021). IoT based Tracking System for Two Wheelers. i-manager's Journal on Embedded Systems, 9(2), 15-21. https://doi.org/10.26634/jes.9.2.18169

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Internet of Things (IoT) based Irrigation and Soil Nutrient Management System

Sanjay Mate*

Department of Information Technology, Government Polytechnic, Daman, Daman & Diu, India.

Mate, S. (2021). Internet of Things (IoT) based Irrigation and Soil Nutrient Management System. i-manager's Journal on Embedded Systems, 9(2), 22-28. https://doi.org/10.26634/jes.9.2.18072

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A Smart Shoe for Visually Impaired People

Prasanna Devi* , Mohana Priya K. **, Meenakkshi Palanisamy ***, Priya S. ****, Pruthvi Raj R. *****

*-***** Department of Electronics and Communication Engineering, Dr. NGP Institute of Technology, Coimbatore., Tamilnadu, India.

Devi, P., Priya, M. K., Palanisamy, M., Priya, S., and Raj, P. R. (2021). A Smart Shoe for Visually Impaired People. i-manager's Journal on Embedded Systems, 9(2), 29-35. https://doi.org/10.26634/jes.9.2.18146

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Assistance to Isolated Covid Patients using Pill Dispenser

Deepika Sharma * , Rajeev Ranjan Nayak **, Suraj Prakash ***, Preksha Sahu ****, Nikita Chouhan *****, Mukesh Kumar Chandrakar ******

*-****** Department of Electrical and Electronics Engineering, Bhilai Institute of Technology, Durg, Chhattisgarh, India.

Sharma, D., Nayak, R. R., Prakash, S., Sahu, P., Chouhan, N., and Chandrakar, M. K. (2021). Assistance to Isolated Covid Patients using Pill Dispenser. i-manager's Journal on Embedded Systems, 9(2), 36-42. https://doi.org/10.26634/jes.9.2.18038

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S. N. Patil * , S. R. Ghatge , A. M. Pawar *

, Department of Electronics, Tuljaram Chaturchand College of Arts, Science and Commerce, Baramati, Maharashtra, India.

Department of Electronics, Gopal Krishna Ghokhale College, Kolhapur, Maharashtra, India.

* Department of Electronics and Communication Engineering, MIT World Peace University, Pune, Maharashtra, India.

** Government Polytechnic, Daman, Daman & Diu, India.

Ramprakaash K.* , Rahul E. , Rahul T. R. , Rajesh K. , Surender R.

Prasanna Devi* , Mohana Priya K. , Meenakkshi Palanisamy , Priya S. , Pruthvi Raj R.

Deepika Sharma * , Rajeev Ranjan Nayak , Suraj Prakash *, Preksha Sahu **, Nikita Chouhan *, Mukesh Kumar Chandrakar ****