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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM63836

SMART MEDICINE TRANSPORTATION BOX FOR INJECTABLE MEDICINE

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM63836

Volume:

10 |

5 |

May 2026

Pages:

1-6

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

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.

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Authors

KS

KrishnaPriya S

Department of Biomedical Engineering

Dhanalakshmi Srinivasan Engineering College

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ABM

Anjitha B M

Department of Biomedical Engineering

Dhanalakshmi Srinivasan Engineering College

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BBS

Berlin Benita S

Department of Biomedical Engineering

Dhanalakshmi Srinivasan Engineering College

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CN

Charumathi N

Department of Biomedical Engineering

Dhanalakshmi Srinivasan Engineering College

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AM

Abinaya M

Department of Biomedical Engineering

Dhanalakshmi Srinivasan Engineering College

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Mentors

KS

KrishnaPriya S

Department of Biomedical Engineering

Dhanalakshmi Srinivasan Engineering College

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Abstract

The stability of temperature sensitive drugs like insulin, biologics, and certain antibiotics depends upon stringent cold chain processes and require storage between 2 °C and 8 °C. Traditional means of transportation which use passive ice packs do not have active temperature controls. On the other hand, portable refrigerators are heavy-duty and need constant power supply. This research explores PHARMASECURE; an Internet of Things (IoT) based smart transport box with active temperature regulation and biometric security measures with real-time tracking capabilities. The system utilizes ESP32 microcontroller coupled with DHT11 temperature and humidity sensors to continuously monitor the environment. A closed loop control mechanism switches on the Peltier thermoelectric cooling module via relay in case temperatures are outside safety limits. Biometric security is provided through fingerprint scanner R307 which uses the data provided by it to enable/disable SG90 servo motor actuated lock. Real-time location of the box is determined with the help of Neo-6M GPS module and data from all sensors is sent to the Arduino IoT Cloud dashboard. The results indicate that cooling occurs within 180 seconds, the temperature control is precise by ±1 °C and biometric recognition accuracy is 97%, whereas cloud synchronisation delay is 1.5 seconds.

KEYWORDS

Key Words: Pharmaceutical Cold Chain ESP32 Peltier Cooling Fingerprint Authentication IoT Cloud Healthcare Logistics.

Cite This Article

KrishnaPriya S, Anjitha B M, Berlin Benita S, Charumathi N, Abinaya M, KrishnaPriya S, "SMART MEDICINE TRANSPORTATION BOX FOR INJECTABLE MEDICINE," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 5, pp. 1-6, May 2026.

Full Article/Conclusion

In this paper, we introduced  an IoT-driven smart system designed to monitor and secure the pharmaceutical cold chain. It combines an ESP32 microcontroller with a DHT11 sensor, Peltier active cooling, R307 biometric authentication, and GPS tracking to overcome the shortcomings of traditional passive carriers and bulky refrigerators. Our tests demonstrated that the system quickly regulates temperature (within 180 seconds), provides reliable biometric access control (97% accuracy), and offers smooth, real-time cloud monitoring (1.5-second latency).   As of it’s modular design, the system can be easily scaled, remains cost-effective, and can be used in various scenarios, such as rural vaccination campaigns, disaster relief efforts, and everyday mobile healthcare services. By automatically adjusting to environmental changes and providing robust access control, the system helps maintain the effectiveness of critical medications like insulin and biologics during transportation. We plan to further develop the system by incorporating solar charging for longer use in the field, adding sensors for vibration and light to detect tampering, and creating a mobile app to improve accessibility for healthcare workers in remote locations.

References

1.      . G. Abdulkadhim, Z. Yi, and M. Khalid, “Smart pharmacy monitoring system based on MQTT protocol using RFID and Raspberry Pi,” 2020.   2.      S. Aslam, M. P. Michaelides, and H. Herodotou, “Internet of ships: A survey on architectures, emerging applications, and challenges,” 2020.   3.      A. El Attaoui, S. Largo, A. Jilbab, and A. Bourouhou, “Wireless medical sensor network for blood pressure monitoring based on machine learning for real-time data classification,” 2021.   4.      M. Majid, S. Habib, A. R. Javed, M. Rizwan, G. Srivastava, T. R. Gadekallu, and J. C.-W. Lin, “Applications of wireless sensor networks and Internet of Things frameworks in the industry revolution 4.0: A systematic literature review,” 2022.   5.      M. M. Islam, S. Nooruddin, F. Karray, and G. Muhammad, “Internet of Things device capabilities, architectures, protocols, and smart applications in healthcare domain: A review,” 2022.   6.      Y. C. Tsao, F. J. Cheng, Y. H. Li, and L. D. Liao, “An IoT based smart system with an MQTT broker for individual patient vital sign monitoring in potential emergency or prehospital applications,” 2022.   7.      N. T. Le, M. M. T. Chit, T. L. Truong, A. Siritantikorn, N. Kongruttanachok, W. Asdornwised, S. Chaitusaney, and W. Benjapolakul, “Deployment of smart specimen transport system using RFID and NB-IoT technologies for hospital laboratory,” 2023.   8.      Healthcare IoT Research Group, “The Internet of Things healthcare monitoring system based on MQTT protocol,” 2023.   9.      D. Oladimeji, K. Gupta, N. A. Kose, K. Gundogan, L. Ge, and F. Liang, “Smart transportation: An overview of technologies and applications,” 2023.   10.   D. S. Bhatti, M. M. Hussain, B. Suh, Z. Ali, I. Akobir, and K. I. Kim, “IoT enhanced transport and monitoring of medicine using sensors, MQTT, and secure short message service,”

Editorial & Review Transparency

Publication Date

5/23/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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