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Stream/Area:
-
Subject:
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Paper ID:
IJSREM66351
Volume:
10 |
7 |
Jul 2026
Pages:
1-6
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Department of studies in Computer Science (M.Sc.)
Davangere University
Department of studies in Computer Science (M.Sc.)
Davangere University
Bad mouth odor (halitosis) is a common oral health problem that affects millions of people worldwide and often leads to social discomfort, reduced self-confidence, and poor oral hygiene awareness. Conventional methods of detecting bad breath are either subjective or require expensive clinical instruments, making continuous monitoring difficult. This paper presents an On-Demand Mouth Odor Control with an Automated Freshening Spray system that provides an intelligent, low-cost, and automated solution for real-time odor detection and control. The proposed system utilizes an MQ135 gas sensor to detect odor-related gases present in exhaled breath. An ESP32 microcontroller continuously processes the sensor readings and compares them with a predefined threshold value. When the detected gas concentration exceeds the threshold, a relay module is activated to switch on an automatic room freshener spray for a predefined duration, thereby neutralizing the unpleasant odor without human intervention. The proposed system demonstrates efficient real-time monitoring, fast response, low power consumption, and reliable operation using embedded system technology. It offers a practical solution for improving personal hygiene and environmental comfort in homes, offices, hospitals, clinics, and other indoor environments. Furthermore, the system can be extended with IoT connectivity, cloud monitoring, mobile applications, and artificial intelligence techniques for future smart healthcare and environmental monitoring applications.
KEYWORDS
The proposed On-Demand Mouth Odor Control with an Automated Freshening Spray system provides an efficient and automated solution for detecting and neutralizing unpleasant mouth odor. By integrating the MQ135 gas sensor, ESP32 microcontroller, relay module, and automatic room freshener, the system continuously monitors odor-related gases and activates the freshener whenever the detected gas concentration exceeds a predefined threshold. This minimizes manual intervention while ensuring real-time odor control. The experimental results demonstrate that the system operates reliably with accurate gas detection, fast response, and stable performance. Its low cost, simple design, and ease of implementation make it suitable for use in homes, offices, hospitals, clinics, and other indoor environments. Furthermore, the system has the potential to be enhanced with IoT connectivity, cloud-based monitoring, mobile applications, and artificial intelligence techniques, making it a promising solution for future smart healthcare and hygiene management applications.
[1] D. Kapoor, A. Sharma, and R. Gupta, “Halitosis: Current concepts on etiology, diagnosis, and management,” Journal of Oral Biology and Craniofacial Research, vol. 11, no. 2, pp. 252–258, 2021. https://doi.org/10.1016/j.jobcr.2021.02.005 [2] F. Shin, J. Kim, and S. Lee, “Surface activity-tuned metal oxide chemiresistor toward direct and quantitative halitosis diagnosis,” ACS Nano, vol. 15, no. 6, pp. 10207–10218, 2021. https://doi.org/10.1021/acsnano.1c01350 [3] M. Memon, S. Patel, and N. Shaikh, “Halitosis: A systematic review of diagnosis and treatment,” Oral Diseases, vol. 29, no. 1, pp. 23–35, 2023. https://doi.org/10.1111/odi.14165 [4] A. Asmazori, “IoT-based gas monitoring system using MQ135 sensor and ESP32,” Journal of Information Technology and Computer Engineering, vol. 5, no. 2, pp. 85–92, 2021. [5] P. Karnati, “IoT-based air quality monitoring system using machine learning,” arXiv preprint arXiv:2307.00580, 2023. https://arxiv.org/abs/2307.00580 [6] E. Sarkar, R. Das, and S. Banerjee, “Exploring IoT for real-time CO₂ monitoring and analysis using MQ135 sensor,” arXiv preprint arXiv:2308.03780, 2023. https://arxiv.org/abs/2308.03780 [7] A. Nugraha, D. Prasetyo, and R. Hidayat, “Smart air quality guardian using ESP32 and MQ-135 sensor,” Journal of Computer and Electronics Engineering, vol. 3, no. 1, pp. 45–53, 2024. [8] P. Prasad, S. Kumar, and R. Singh, “IoT-based toxic gas detection system using MQ135 sensor,” International Robotics & Engineering Electronics Journal, vol. 4, no. 2, pp. 101–109, 2024. [9] Espressif Systems, ESP32 Series Datasheet, Version 5.0, 2023. Available: https://www.espressif.com/en/products/socs/esp32 [10] Winsen Electronics Technology Co., Ltd., MQ-135 Gas Sensor Datasheet, Zhengzhou, China, 2022. Available: https://www.winsen-sensor.com
Publication Date
7/27/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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