Design of Door Security System Based on Face Recognition with Arduino

Januardi Nasir, Azizul Azhar Ramli, - Michael


Robotics technology is very useful for the lives of many people today. Almost all aspects of his life utilize robotics technology according to the required field. The development of robotics technology has become a higher quality of human life. Perhaps robotics are still less popular among the general public who still thinks robotics are humanoid robots (robots or human machines). Robotics has been widely implemented in the real world ranging from the fields of industry, medicine, entertainment, security, to household appliances. In the field of security, robotics has an important role. As the robot principle itself is tireless and has little tolerance, the product in robotics in the security field can be a very useful tool. In addition to facilitate human insecurity, robotics products can also facilitate human in various jobs, such as in the locking doors or walls of anyone who already exists. The development of robotics is in line with the development of computer vision which is increasing its application in everyday life. With this research, is expected to improve security and comfort in the security room. The design of this system using electronic door locks, open source OpenCV and webcam as a unit component.


robot, microcontroller, Arduino, OpenCV, electronic door


Mukhtar A, Xia L, Boon TT, Kassim KAA. On-road approaching motorcycle detection and tracking techniques: A survey. Proc - 2013 IEEE Int Conf Control Syst Comput Eng ICCSCE 2013. 2013;(October):63–8.

Ghalib MR, Bhatnagar S, Jayapoorani S, Pande U. Artificial Neural Network based Detection of Renal Tumors using CT Scan Image Processing. 2014;6(1):28–35.

Passarella R, Sutarno, Ahmad Rezqy FF. Implementation of image segmentation using RGB color detection on virtual reality robot as spy tool. Int Conf Electr Eng Comput Sci Informatics. 2014;1(August):374–9.

Ferraz A, Soares F, Carvalho V. A Prototype for Blood Typing Based on Image Processing. SENSORDEVICES 2013, Fourth Int Conf Sens Device Technol Appl [Internet]. 2013;(c):139–44. Available from:

Sumaryanti L, Musdholifah A, Hartati S. Digital Image Based Identification of Rice Variety Using Image Processing and Neural Network. Telkomnika Indones J Electr Eng. 2015;16(1):182–8.

Sutikno, Wibawa HA, Sasongko PS. Detection of Ship using Image Processing and Neural Network. Telkomnika [Internet]. 2018;16(No.1):259 – 264. Available from:

Wang J, Qin Q, Zhao J, Ye X, Feng X, Qin X, et al. Knowledge-based detection and assessment of damaged roads using post-disaster high-resolution remote sensing image. Remote Sens. 2015;7(4):4948–67.

Ahmad F, Najam A, Ahmed Z. Image-based Face Detection and Recognition : Image “ State of the Art .” IJCSI Int J Comput Sci Issues. 2012;9(6):9–12.

Ruby KMM, Jenefer FA, Vidhya D. Study of Arduino Controlled Robotic System. Res J Pharm Biol Chem Sci. 2016;7(3):365–73.

Shekhawat RS, Sain A, Bhardwaj G. Automatic Intelligence Car Robot. 2016;2(10):504–8.

Nidhi. Image Processing and Object Detection. 2015;1(9):396–9.

Emami S, Suciu VP. Facial Recognition using OpenCV. J Mobile, Embed Distrib Syst [Internet]. 2012;4(1):38–43. Available from:



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