Intelligent door unlock system using AI MediaPipe

Authors

  • Chinmayee Dutta Department of Electronics Engineering, OUTR, Bhubaneswar, Odisha, India
  • Ritu Maity School of Mechanical Engineering, KIIT University, Bhubaneswar, Odisha, India

DOI:

https://doi.org/10.59461/ijdiic.v3i1.96

Keywords:

AI Mediapipe, Raspberry Pi, Smart door access, OpenCV, Face detection

Abstract

Prioritizing advanced security, the infusion of AI Mediapipe into the realm of smart door access not only simplifies access control but also guarantees unmatched protection, reshaping the expectation for safety and reliability. Implementing AI Mediapipe facilitates real-time gesture recognition, face detection, and hand tracking, optimizing access control in smart door systems. Integrating software and hardware set a new standard in the domain of smart door access. Here, we have proposed a smart system with a high-resolution camera to capture faces and connect them to a processing unit, i.e., Raspberry Pi. A face detection algorithm has been deployed into the hardware device so that the lock would open once an authorized face is detected. Our proposed system can make accurate predictions compared to existing systems. Integrating advanced computer vision and authentication methods marks a significant stride in the evolution of intelligent entry solutions.

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References

M. Surve, P. Joshi, S. Jamadar, and M. M. N. Vharkate, “Automatic Attendance System using Face Recognition Technique,” Int. J. Recent Technol. Eng., vol. 9, no. 1, pp. 2134–2138, May 2020, doi: 10.35940/ijrte.A2644.059120.

Y. Quiñonez, C. Lizarraga, and R. Aguayo, “Machine Learning solutions with MediaPipe,” in 2022 11th International Conference On Software Process Improvement (CIMPS), IEEE, Oct. 2022, pp. 212–215. doi: 10.1109/CIMPS57786.2022.10035706.

M. Waseem, S. A. Khowaja, R. K. Ayyasamy, and F. Bashir, “Face Recognition for Smart Door Lock System using Hierarchical Network,” in 2020 International Conference on Computational Intelligence (ICCI), IEEE, Oct. 2020, pp. 51–56. doi: 10.1109/ICCI51257.2020.9247836.

M. Shanthini, G. Vidya, and R. Arun, “IoT Enhanced Smart Door Locking System,” in 2020 Third International Conference on Smart Systems and Inventive Technology (ICSSIT), IEEE, Aug. 2020, pp. 92–96. doi: 10.1109/ICSSIT48917.2020.9214288.

R. Priyakanth, N. M. S. Krishna, G. Karanam, M. L. Prassna, S. Baby Poojitha, and J. Mounika, “IoT Based Smart Door Unlock and Intruder Alert System,” in 2021 2nd International Conference on Smart Electronics and Communication (ICOSEC), IEEE, Oct. 2021, pp. 6–11. doi: 10.1109/ICOSEC51865.2021.9591822.

N. Meenakshi, M. Monish, K. J. Dikshit, and S. Bharath, “Arduino Based Smart Fingerprint Authentication System,” in 2019 1st International Conference on Innovations in Information and Communication Technology (ICIICT), IEEE, Apr. 2019, pp. 1–7. doi: 10.1109/ICIICT1.2019.8741459.

B. Kishore Mishra, Ed., Computational Intelligence for Sustainable Development. Nova Science Publishers, 2022. doi: 10.52305/GYYT9161.

S. Jahnavi and C. Nandini, “Smart Anti-Theft Door locking System,” in 2019 1st International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE), IEEE, Mar. 2019, pp. 205–208. doi: 10.1109/ICATIECE45860.2019.9063836.

C. Kolluru, A. G V, S. P. S, K. R. D, and A. S. Kumar, “Development of Face Recognition-Based Smart Door Lock System with Remote Servo Control Authentication,” in 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), IEEE, Jul. 2023, pp. 1–6. doi: 10.1109/ICCCNT56998.2023.10307437.

N. Y. L. Venkata, C. Rupa, B. Dharmika, T. G. Nithin, and N. Vineela, “Intelligent Secure Smart Locking System using Face Biometrics,” in 2021 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT), IEEE, Aug. 2021, pp. 268–273. doi: 10.1109/RTEICT52294.2021.9573869.

M.-C. Tseng, K.-C. Liu, C.-Y. Hsieh, S. J. Hsu, and C.-T. Chan, “Gesture spotting algorithm for door opening using single wearable sensor,” in 2018 IEEE International Conference on Applied System Invention (ICASI), IEEE, Apr. 2018, pp. 854–856. doi: 10.1109/ICASI.2018.8394398.

M. K. Rao, M. S. Kumar, A. H. S. Sai, and K. Manikanta, “IoT Based Unlocking of Home Automation System with Face and Speech Detection using ESP32 and Google Assistant,” in 2022 International Conference on Emerging Trends in Engineering and Medical Sciences (ICETEMS), IEEE, Nov. 2022, pp. 289–295. doi: 10.1109/ICETEMS56252.2022.10093249.

R. Mishra, A. Ransingh, M. K. Behera, and S. Chakravarty, “Convolutional Neural Network Based Smart Door Lock System,” in 2020 IEEE India Council International Subsections Conference (INDISCON), IEEE, Oct. 2020, pp. 151–156. doi: 10.1109/INDISCON50162.2020.00041.

K. Gupta, N. Jiwani, M. H. Uddin Sharif, M. A. Mohammed, and N. Afreen, “Smart Door Locking System Using IoT,” in 2022 International Conference on Advances in Computing, Communication and Materials (ICACCM), IEEE, Nov. 2022, pp. 1–4. doi: 10.1109/ICACCM56405.2022.10009534.

“IoT Door Lock Security System using Google Assistance,” Int. J. Innov. Technol. Explor. Eng., vol. 9, no. 2S, pp. 698–700, Dec. 2019, doi: 10.35940/ijitee.B1018.1292S19.

K. Umamaheswari and P. Mahitha, “Smart security system for door access based on unique authentication,” in 2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), IEEE, Nov. 2021, pp. 1474–1477. doi: 10.1109/I-SMAC52330.2021.9640855.

T. G. Reddy, S. C. Sai, B. P. Kumar, R. T. Venkatesh, K. Sathwik, and K. Singh, “Face Recognition Door Lock System Using Raspberry Pi,” in 2023 Third International Conference on Secure Cyber Computing and Communication (ICSCCC), IEEE, May 2023, pp. 218–221. doi: 10.1109/ICSCCC58608.2023.10176434.

R. R. Deepty, A. Alam, and M. E. Islam, “IoT and Wi-Fi Based Door Access Control System using Mobile Application,” in 2019 IEEE International Conference on Robotics, Automation, Artificial-intelligence and Internet-of-Things (RAAICON), IEEE, Nov. 2019, pp. 21–24. doi: 10.1109/RAAICON48939.2019.09.

D. A. Wangean, S. Setyawan, F. I. Maulana, G. Pangestu, and C. Huda, “Development of Real-Time Face Recognition for Smart Door Lock Security System using Haar Cascade and OpenCV LBPH Face Recognizer,” in 2023 International Conference on Computer Science, Information Technology and Engineering (ICCoSITE), IEEE, Feb. 2023, pp. 506–510. doi: 10.1109/ICCoSITE57641.2023.10127753.

S. S. Ali, J. H. Al’ Ameri, and T. Abbas, “Face Detection Using Haar Cascade Algorithm,” in 2022 Fifth College of Science International Conference of Recent Trends in Information Technology (CSCTIT), IEEE, Nov. 2022, pp. 198–201. doi: 10.1109/CSCTIT56299.2022.10145680.

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Published

18-03-2024

How to Cite

Chinmayee Dutta, & Ritu Maity. (2024). Intelligent door unlock system using AI MediaPipe. International Journal of Data Informatics and Intelligent Computing, 3(1), 36–43. https://doi.org/10.59461/ijdiic.v3i1.96

Issue

Section

Regular Issue