Automatic Pill Dispensing Robot Using Internet of Things Technology

Main Article Content

Kanyalag Phodong
Torlarb Thaikeow
Wirot Yotsawatl
Wachira Pushatrirat
Yupin Puakya

Abstract

The problems of forgetting to take medicine and of drug overdose may occur to patients of all ages and genders, especially among the elderly patients. These situations can be life-threatening. This research aimed to develop a medical dispenser named “KATI”. The KATI robot was used for medical dispensing and medication alerts. The aim of KATI is to solve the problems of forgetting to take medicine and drug overdose. The robot consists of Raspberry pi 3 model b board, Arduino mega HC-SR04 E18-D80NK and 28BYJ-48. The functional capabilities of KATI are divided into four parts: a server for web and database application, a socket server for listening voice commands, control unit, and android application. KATI was tested for efficiency by scheduling alerts and working experiments for 7 consecutive days. Based on the experimental results, KATI performed its functions accurately up to 95.24% on overall tasks. It received overall user satisfaction rating of 4.48, indicating a very high positive attitude and acceptability.

Article Details

Section
Information Technology Research Articles

References

[1] Med-Q. (2018). Medqpillbox. Med-Q. Arizona, USA. [Online]. Available: https://medqpillbox.com/

[2] Pillohealth. (2016). Bringing Health Home. Pillo Inc. New York, United States. [Online]. Available: https://www. pillohealth.com/

[3] ITU-T Recommendations. (2012, June). ITU-T Recommendation Y. 2060. International Telecommunication Union (ITU). Geneva, Switzerland. [Online]. Available: https://www.itu.int/ITU-T/recommen dations/rec.aspx?rec=y.2060

[4] P. Kullimratchai, “Internet of things: Current technology trends for future,” EAU Heritage Journal Science and Technology, vol. 10, no. 1, pp. 29–36, 2016 (in Thai).

[5] D. Puccinelli and M. Haenggi, “Wireless sensor networks: Applications and challenges of ubiquitous sensing,” IEEE Circuits and Systems Magazine, vol. 5, no. 3, pp. 19–31, 2005.

[6] T. Thongkamwitoon, “Internet of things and regulatory guidelines for spectrum management in Thailand,” Journal of The National Broadcasting and Telecommunications Commission, vol. 1, pp. 167–194, 2016 (in Thai).

[7] D. Tripak and P. Pamonsinlapatham, “Medical and pharmaceutical robots,” Thai Bulletin of Pharmaceutical Sciences, vol. 11, no. 2, pp. 61–75, 2016 (in Thai).

[8] A. S. Yeole and D. R. Kalbande, “Use of internet of things (IoT) in healthcare: A survey,” in Proceedings of the ACM Symposium on Women in Research, 2016, pp. 71–76.

[9] B. B. Christo and M. R. Ebenezar Jebarani, “An automatic liquid dispensing robot with database management and biometric security systems,” ARPN Journal of Engineering and Applied Sciences, vol. 11, no. 11, pp. 6964–6968, 2016.

[10] K. Trinate, N. Thamcharoen, T. Trisoonthorn, S. Pathomchaiwal, T. Chaisaengmongkol, and S. Sukphotharam, “Automatic medicine dispensing machine,” Executive Journal, vol. 30, no. 2, pp. 119–121, 2010 (in Thai).

[11] D. H. Mrityunjaya, J. U. Kartik, B. Teja, and H. Kotresh, “Automatic pill dispenser,” International Journal of Advanced Research in Computer and Communication Engineering, vol. 5, no. 7, pp. 543–547, 2016.

[12] S. Shinde, N. Bange, M. Kumbhar, and S. Patil, “Smart medication dispenser,” International Journal of Advanced Research in Electronics and Communication Engineering, vol. 6, no. 4, pp. 200–204, 2017.

[13] Arduino. (2017). Arduino MEGA 2560. ARDUINO [Online]. Available: https://store.arduino.cc/

[14] Raspberry pi foundation. (2018). Raspberry Pi 3 Model B+. RASPBERRY PI FOUNDATION. UK. [Online]. Available: https:// www.raspberrypi.org/

[15] Tinkbox. (2016). Proximity Sensor/Switch E18-D80NK. rhydoLABZ. [Online]. Available: http://www.rhydolabz.com/documents/27/E18-D80NK.pdf

[16] Makerlab-electronics. (2015). Stepper Motor 28BYJ-48 with ULN2003 driver. Makerlab Electronics. Santa Cruz, Manila. [Online]. Available: https://www.makerlab-electronics.com/product/stepper-motor-28byj-48-uln2003-driver/

[17] Google Voice Search. (2018). AI & Machine Learning Products. Google Cloud. [Online]. Available: https://cloud.google.com/speechto-text/