IOT-BASED SMART DOCUMENT AUTHENTICATION USING QR CODE VERIFICATION
Document forgery has become a significant challenge in modern digital and physical verification systems due to the widespread availability of image editing tools and duplication techniques. Traditional verification methods rely heavily on manual inspection, which is time-consuming, error-prone, and inefficient.
This project proposes an IoT-based smart document authentication system using QR code verification. The system utilizes an ESP32-CAM module to scan QR codes embedded within documents. The scanned data is decoded and validated against predefined or cloud-based records. Based on the validation result, the system provides real-time feedback using visual and audio indicators. A green LED indicates a valid document, whereas a red LED along with a buzzer alert indicates a forged or invalid document.
The system is designed to be low-cost, scalable, and efficient, making it suitable for applications in educational institutions, banking systems, identity verification, and secure access control environments.
R.SIBIKUMAR, & P.SIVANESAN, (2026). IOT-Based Smart Document Authentication using QR Code Verification. International Journal of Science, Strategic Management and Technology, 02(05). https://doi.org/10.55041/ijsmt.v2i5.106
R.SIBIKUMAR, , and P.SIVANESAN. "IOT-Based Smart Document Authentication using QR Code Verification." International Journal of Science, Strategic Management and Technology, vol. 02, no. 05, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i5.106.
R.SIBIKUMAR, , and P.SIVANESAN. "IOT-Based Smart Document Authentication using QR Code Verification." International Journal of Science, Strategic Management and Technology 02, no. 05 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i5.106.
2.Zhang, Y., Wang, L., & Chen, H. (2020). Design and implementation of QR code verification system using IoT technology. IEEE Access, 8, 145678-145686.
3.Rahman, M. A., Islam, S., & Hossain, M. (2021). IoT-based smart authentication system using ESP32-CAM and QR codes. In 2021 International Conference on Smart Computing and Electronic Enterprise (ICSCEE) (pp. 1-6). IEEE.
4.Patel, K., & Sharma, R. (2022). Secure document verification using QR codes and cloud-based validation. In 2022 6th International Conference on Computing Methodologies and Communication (ICCMC) (pp. 987-992). IEEE.
5.Kim, J. H., Lee, Y. H., & Park, S. (2018). QR code recognition and decoding using computer vision techniques. International Journal of Computer Vision and Applications, 12(3), 210-220.
6.Denso Wave Incorporated. (2020). QR Code essentials and standards. Retrieved from https://www.qrcode.com/en/
7.Espressif Systems. (2021). ESP32-CAM technical reference manual. Retrieved from https://www.espressif.com/
8.Singh, A., & Verma, P. (2021). Real-time QR code detection and validation using embedded systems. In 2021 International Conference on Internet of Things and Applications (IOTA) (pp. 45-50). IEEE.
9.Kumar, S., & Gupta, R. (2020). IoT-based access control system using QR code authentication. International Journal of Engineering Research & Technology (IJERT), 9(5), 120-125.
10.Chen, L., & Zhao, X. (2019). Lightweight QR-based authentication mechanism for secure systems. Journal of Network and Computer Applications, 134, 45-53.