Vol. 2 No. 5 (2020): Volume 2, Issue 5, Year 2020
Articles

Security System to Prevent Tailgating Using Face Recognition and Ultrasonic Sensor

Kannamma R
Department of Computer Science Engineering, Prathyusha Engineering College, Chennai, Tamil Nadu, India.
Bhargavi S
Department of Computer Science Engineering, Prathyusha Engineering College, Chennai, Tamil Nadu, India.
Bhavani Sree S
Department of Computer Science Engineering, Prathyusha Engineering College, Chennai, Tamil Nadu, India.
Mahalakshmi J
Department of Computer Science Engineering, Prathyusha Engineering College, Chennai, Tamil Nadu, India.
Published September 25, 2020
Keywords
  • Face recognition,
  • Face detection,
  • open CV,
  • Haar Cascading,
  • Ultrasonic sensor,
  • Raspberry pi
  • ...More
    Less
How to Cite
R, K., S, B., S, B. S., & J, M. (2020). Security System to Prevent Tailgating Using Face Recognition and Ultrasonic Sensor. International Research Journal of Multidisciplinary Technovation, 2(5), 20-25. https://doi.org/10.34256/irjmt2054

Plum Analytics

Abstract

Tailgating is the one where an employee holds the office door for others to enter into the building with one access. This leads to insecure where in the unknown person can also enters into the building with the access of the original employee. To overcome this, introducing security system that prevents tailgating that provides authentication, accuracy, flexibility and gives more convenience to the security guards. It is an embedded based system and built under the Linux environment. First the faces of all the people is captured and trained using OpenCV python package for the purpose of further experimentation in the future. In this Raspberry pi is used as a main controller along with camera which enables to access image processing with any portable embedded system. When the person enters near to the gate, the ultrasonic sensor starts to sense and triggers the camera which detects the person face and checks with the trained dataset using the Haar Cascading algorithm, if it matches the gate gets opened. If suppose the person enters the gate with other person with one access control, then again, the camera gets triggered to capture the unauthorized person face and sends the mail of the detected person to the concerned authority through firebase cloud database.

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References

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