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


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.

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.

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.

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.

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.

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.