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

Current Issue Vol. 13 Issue 2

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Volume 13 Issue 2 January - June 2025

Research Paper

Smart Detection System with Real-Time Notifications for Smoke and Gas

Kottnana Janakiram* , Guntupalli Ganga Prasad**

*-** Department of Electronics and Communication Engineering, Vignan's Foundation for Science, Technology and Research, Vadlamudi, Guntur, Andhra Pradesh, India.

Janakiram, K., and Prasad, G. G. (2025). Smart Detection System with Real-Time Notifications for Smoke and Gas. i-manager's Journal on Embedded Systems, 13(2), 1-7. https://doi.org/10.26634/jes.13.2.21322

Abstract

Gas leakage is one of the hazards that causes significant damage. Some of the risks include safety hazards: gas leaks can lead to explosions, fires, and pose significant risks to life and property. Economic losses: gas leaks can result in financial losses due to wasted resources. Uncontrolled gas leaks can lead to higher utility bills for consumers and loss of revenue for gas companies. Fire accidents are like disasters which causes enormous damage to both living and non- living things. The damage might be small or large, but there is always some sort of loss. Ionization or a photoelectric sensor can both be used to detect smoke. Carbon dioxide can be sensed to identify fire without smoke. Carbon monoxide detection allows for the detection of incomplete burning. When taking into account primarily residences, shops, and small business stores, no one can predict when a fire or smoke will occur. Therefore, a device for continuous, low-cost monitoring is needed. Regarding this, a system has been designed that detects smoke, combustible gases, or fire and sends out an alert to warn those nearby, as well as sending warning notifications to store or house owners. WhatsApp, the most widely used app worldwide, serves as a platform for receiving notifications. The results show that the system was effective in repeatedly alerting and sending notifications whenever smoke or any combustible gas occurred and stops sending notifications when gas or smoke stops.

References

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[14]. Vidhatri, M. M. S., Sivaramakrishna, M., & Chitrakkumar, S. (2022). Design of an innovative smoke sensor and fire alarm panel. In 2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT) (pp. 1365-1369). IEEE.

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[16]. Zaher, A., Al-Faqsh, A., Abdulredha, H., Al-Qudaihi, H., & Toaube, M. (2021). A fire prevention/monitoring smart system. In 2021 2nd International Conference on Smart Cities, Automation and Intelligent Computing Systems (ICON-SONICS) (pp. 31-36). IEEE.

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Research Paper

An IOT-Based System for Detecting Vehicle Accidents in Smart Cities

Purna Chandra Rao E. N. V.* , Bhavana B., Tejasu A., Rajesh M., Srinivas S.

*-***** Department of Electronics and Communication Engineering, Usha Rama College of Engineering and Technology, Telaprolu, Andhra Pradesh, India.

Rao, E. N. V. P. C., Bhavana, B., Tejasu, A., Rajesh, M., and Srinivas, S. (2025). An IOT-Based System for Detecting Vehicle Accidents in Smart Cities. i-manager's Journal on Embedded Systems, 13(2), 8-24. https://doi.org/10.26634/jes.13.2.21778

Abstract

The ability of smart sensors to record physical characteristics has completely changed the world. In applications related to the environment, disaster relief, transportation, and similar areas, the sensors provide essential data to the monitoring station. An Internet of Things-based framework is developed that uses sensors to identify car accidents, and the data is saved and tracked on the Thingspeak cloud. Using a GPS, accelerometer, and ultrasonic sensor, the warning is triggered anytime the car is involved in an accident. The communication module transmits the real-time coordinates message. The monitoring station takes the necessary action by recognizing the accident occurred and providing the emergency services to the hotspot immediately. The integrated method will be advantageous as it would identify any accidents involving the car and make it easier for the passengers to receive emergency assistance. In any smart city, the suggested structure would be helpful in saving lives.

References

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Research Paper

Design Embedded System for Monitoring Heartbeat

Shinde P. K.* , Pawar A. M., Deshpande J. D.*, Patil S. N.****

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

Shinde, P. K., Pawar, A. M., Deshpande, J. D., and Patil, S. N. (2025). Design Embedded System for Monitoring Heartbeat. i-manager's Journal on Embedded Systems, 13(2), 25-29. https://doi.org/10.26634/jes.13.2.21996

Abstract

Development of smart electronic system with high performance, large adoptability and portability, to sense the biomedical parameters is highly needed for medical instrumentation. Recently, in the biomedical field, there has been a growing demand for high-tech instrumentation to monitor various parameters such as temperature, blood pressure, heartbeat, and blood sugar, among others. Out of various parameter heart beat monitoring system plays significant role in daily life. Considering the need, an embedded system design based on advanced microcontroller for heartbeat measurement and presented in this paper. Heartbeat Sensor is an electronic device used to measure the heart rate, which refers to the speed of the heartbeat. Monitoring body temperature, heart rate, and blood pressure are fundamental practices for maintaining good health. The required firmware developed in Arduino IDE to show pulse count. The system is implemented for monitoring heartbeat of different age group person and obtained results discussed in this paper.

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Research Paper

Detection of M-Pox using FET

Dooslin Mercy Bai V.* , Dhinesh G., Dharun Hari D., Arun Kumar S., Sharan B.

*-***** Department of Biomedical Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore, Tamil Nadu, India.

Bai, V. D. M., Dhinesh, G., Hari, D. D., Kumar, S. A., and Sharan, B. (2025). Detection of M-Pox Using FET. i-manager's Journal on Embedded Systems, 13(2), 30-36. https://doi.org/10.26634/jes.13.2.21494

Abstract

A non-invasive FET biosensor used to detect M-Pox virus quickly and easily. The biosensor examines breath or saliva samples using a biorecognition layer that is intended to capture the important MPXV proteins, B6R and A42R, guaranteeing patient compliance and comfort. Its great sensitivity allows for the prompt detection of viral antigens at low concentrations, allowing for epidemic response. By emphasizing cost through easily accessible components, FET used in a variety of healthcare settings, including ones with limited resources. This novel strategy improves epidemic surveillance and is consistent with biomedical engineering developments, providing early and accurate diagnosis to meet global epidemiological concerns.

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Research Paper

Integration of Embedded and IOT for Smart Pill Dispenser in Healthcare

Saran S. P.* , Nishanth Kumar T., Sathiya Sundharam P.*, Suthanthira Vanitha N. ****

*-**** Department of Electrical and Electronics Engineering, Muthayammal Engineering College, Rasipuram, Tamil Nadu, India.

Saran, S. P., Kumar, T. N., Sundharam, P. S., and Vanitha, N. S. (2025). Integration of Embedded and IOT for Smart Pill Dispenser in Healthcare. i-manager's Journal on Embedded Systems, 13(2), 37-45. https://doi.org/10.26634/jes.13.2.21589

Abstract

Healthcare advancements frequently outpace supporting technologies, leading to inefficiencies in medication management. Conventional systems rely on manual processes, resulting in missed doses, errors, and a lack of health monitoring features. This study introduces an IoT-based smart pill dispenser to overcome these challenges. The system automates medication dispensing using an embedded controller, ensuring accurate dosages at scheduled times while minimizing errors. Fingerprint authentication enhances security, restricting access to authorized users. Integrated health monitoring sensors track vital parameters like heart rate, ECG, fall detection, and blood oxygen levels, providing real- time feedback. Simulated with Proteus software, the system promotes patient safety, adherence, and improved healthcare outcomes.

References

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[18]. Wan, J., AAH Al-awlaqi, M., Li, M., O'Grady, M., Gu, X., Wang, J., & Cao, N. (2018). Wearable IoT enabled real-time health monitoring system. EURASIP Journal on Wireless Communications and Networking, 2018(1), 1-10.

[19]. Wang, B., Shi, X., Han, X., & Xiao, G. (2024). The digital transformation of nursing practice: An analysis of advanced IoT technologies and smart nursing systems. Frontiers in Medicine, 11, 1471527.

[20]. Yacchirema, D., De Puga, J. S., Palau, C., & Esteve, M. (2018). Fall detection system for elderly people using IoT and big data. Procedia Computer Science, 130, 603-610.

[21]. Yang, Y., Wang, H., Jiang, R., Guo, X., Cheng, J., & Chen, Y. (2022). A review of IoT-enabled mobile healthcare: Technologies, challenges, and future trends. IEEE Internet of Things Journal, 9(12), 9478-9502.

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Research Paper

Tech Yoga: The Smart Mat Revolution

Pavithra S.* , Dhanya R., Dharshana M.*, Fathima Ishara N.**, Loka Shankari K. B.*, Soundariya S.****

*-****** Department of Biomedical Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India

Pavithra, S., Dhanya, R., Dharshana, M., Ishara N. F., Shankari, K. B. L., and Soundariya, S. (2025). Tech Yoga: The Smart Mat Revolution. i-manager's Journal on Embedded Systems, 13(2), 46-55. https://doi.org/10.26634/jes.13.2.21490

Abstract

Yoga is a mind-body practice combining physical postures, breathing exercises, and meditation forimproved health and relaxation. It enhances flexibility, strength, and mental clarity, promoting overall well-being. A system for real time monitoring of body parameters during Yoga practice doesnot exist. Hence we have proposed a prototype for measuring body parameters. The smart yoga matrepresents a novel advancement in fitness technology, aiming to enrich yoga practice by combiningsensor-based monitoring with real-time feedback and digital guidance. By integrating advanced sensors, including pressure sensors, accelerometers, and gyroscopes, the smart yoga mat can detect subtle shifts in position, balance, and body pressure applied at various points on the mat. This smart yoga mat system ultimately offers a new paradigm for fitness and wellness devices by combining real-time body monitoring with user-centric app interfaces and data analysis. The incorporation of cloud storage for session data enables users to access and review theirpractice history across devices, reinforcing continuity and progress in their fitness journey. With applications extending beyond yoga to potentially include other forms of floor-based fitnessactivities, the smart yoga mat is poised to become an indispensable tool for individuals dedicated toimproving their physical health and mindfulness.

References

[1]. Balakrishnan, S., Shriya, S., Vaishnavi, N., & Kavitha, C. (2023). Yoga trainer with AI. International Journal of Advance Research and Innovative Ideas in Education, 9(3), 1062-1068.

[2]. Devpal, H., Sharma, S., Sharma, J. K., Sharma, P. D., & Sharma, D. K. (2022). A study on the effect of yoga on healthy life. World Journal of Pharmaceutical and Medical Research, 8(6), 134-138.

[3]. Jang, K. J., Ryoo, J., Telhan, O., & Mangharam, R. (2015). Cloud Mat: Context-aware personalization of fitness content. In 2015 IEEE International Conference on Services Computing, (pp. 301-308). IEEE.

[4]. Kishore, D. M., Bindu, S., & Manjunath, N. K. (2022). Smart yoga instructor for guiding and correcting yoga postures in real time. International Journal of Yoga, 15(3), 254-261.

[5]. Lemermeyer, G. (2017). The yoga mat. Phenomenology and Practice, 11(2), 55-59.

[6]. Pal, R., Adhikari, D., Heyat, M. B. B., Ullah, I., & You, Z. (2023). Yoga meets intelligent internet of things: Recent challenges and future directions. Bioengineering, 10(4), 459.

[7]. Rajgure, E. G. & Patidar, R. (2023). An Innovative Implementation of Corrective Yoga Posture Evaluation using embedded Wearable Device. International Journal of Engineering Research and Technology, 12(11).

[8]. Sharma, A., Shah, Y., Agrawal, Y., & Jain, P. (2022). Real-time recognition of yoga poses using computer v i s ion for smart health care. ar Xiv preprint arXiv:2201.07594.

[9]. Smart Mat. (2014). SmartMat: The World's First Intelligent Yoga Mat.

[10]. Solanki, M. S. (2021). A research paper on new generation gym mat. International Journal of Innovative Research in Computer Science & Technology, 9(6), 123-126.

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

Current Issue Vol. 13 Issue 2

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Volume 13 Issue 2 January - June 2025

Smart Detection System with Real-Time Notifications for Smoke and Gas

Kottnana Janakiram* , Guntupalli Ganga Prasad**

*-** Department of Electronics and Communication Engineering, Vignan's Foundation for Science, Technology and Research, Vadlamudi, Guntur, Andhra Pradesh, India.

Janakiram, K., and Prasad, G. G. (2025). Smart Detection System with Real-Time Notifications for Smoke and Gas. i-manager's Journal on Embedded Systems, 13(2), 1-7. https://doi.org/10.26634/jes.13.2.21322

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An IOT-Based System for Detecting Vehicle Accidents in Smart Cities

Purna Chandra Rao E. N. V.* , Bhavana B.**, Tejasu A.***, Rajesh M.****, Srinivas S.*****

*-***** Department of Electronics and Communication Engineering, Usha Rama College of Engineering and Technology, Telaprolu, Andhra Pradesh, India.

Rao, E. N. V. P. C., Bhavana, B., Tejasu, A., Rajesh, M., and Srinivas, S. (2025). An IOT-Based System for Detecting Vehicle Accidents in Smart Cities. i-manager's Journal on Embedded Systems, 13(2), 8-24. https://doi.org/10.26634/jes.13.2.21778

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Design Embedded System for Monitoring Heartbeat

Shinde P. K.* , Pawar A. M.**, Deshpande J. D.***, Patil S. N.****

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

Shinde, P. K., Pawar, A. M., Deshpande, J. D., and Patil, S. N. (2025). Design Embedded System for Monitoring Heartbeat. i-manager's Journal on Embedded Systems, 13(2), 25-29. https://doi.org/10.26634/jes.13.2.21996

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Detection of M-Pox using FET

Dooslin Mercy Bai V.* , Dhinesh G.**, Dharun Hari D.***, Arun Kumar S.****, Sharan B.*****

*-***** Department of Biomedical Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore, Tamil Nadu, India.

Bai, V. D. M., Dhinesh, G., Hari, D. D., Kumar, S. A., and Sharan, B. (2025). Detection of M-Pox Using FET. i-manager's Journal on Embedded Systems, 13(2), 30-36. https://doi.org/10.26634/jes.13.2.21494

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Integration of Embedded and IOT for Smart Pill Dispenser in Healthcare

Saran S. P.* , Nishanth Kumar T.**, Sathiya Sundharam P.***, Suthanthira Vanitha N. ****

*-**** Department of Electrical and Electronics Engineering, Muthayammal Engineering College, Rasipuram, Tamil Nadu, India.

Saran, S. P., Kumar, T. N., Sundharam, P. S., and Vanitha, N. S. (2025). Integration of Embedded and IOT for Smart Pill Dispenser in Healthcare. i-manager's Journal on Embedded Systems, 13(2), 37-45. https://doi.org/10.26634/jes.13.2.21589

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Tech Yoga: The Smart Mat Revolution

Pavithra S.* , Dhanya R.**, Dharshana M.***, Fathima Ishara N.****, Loka Shankari K. B.*****, Soundariya S.******

*-****** Department of Biomedical Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India

Pavithra, S., Dhanya, R., Dharshana, M., Ishara N. F., Shankari, K. B. L., and Soundariya, S. (2025). Tech Yoga: The Smart Mat Revolution. i-manager's Journal on Embedded Systems, 13(2), 46-55. https://doi.org/10.26634/jes.13.2.21490

Abstract

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Purna Chandra Rao E. N. V.* , Bhavana B., Tejasu A., Rajesh M., Srinivas S.

Shinde P. K.* , Pawar A. M., Deshpande J. D.*, Patil S. N.****

Dooslin Mercy Bai V.* , Dhinesh G., Dharun Hari D., Arun Kumar S., Sharan B.

Saran S. P.* , Nishanth Kumar T., Sathiya Sundharam P.*, Suthanthira Vanitha N. ****

Pavithra S.* , Dhanya R., Dharshana M.*, Fathima Ishara N.**, Loka Shankari K. B.*, Soundariya S.****