Microcontroller based Automative Security System using RFID with Face Recognition

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The project “Microcontroller Based Automative Security System using RFID with Face  Recognition” is an advanced autonomous process for security measures that can be applicable  to any institution that wishes to monitor and allow access to restricted personnel. The motivation for the project was to eliminate human personnel from the process to make it cost effective especially since it can function non-stop for 24 hours a day.

The project incorporates the use of RFID technology to act as a first line of identification for an  individual. This is further enhanced by adding a MATLAB algorithm for facial recognition. Since the project was successful in achieving its goal, the results can vouch for this  technology to be adapted in all interested institutions in our country.


Radio frequency identification (RFID) Technology is one of the fundamental factors in the  development of a universal information system for different object. It captures information   directly about an object through radio wave emission without human interruption. The basic  principle of RFID is the creation of magnetic field between two circuits.

A. Background:

RFID Technology was first invented in 1948. However, it was not mainstreamed for commercial applications until 1980s. During World War II, it was first used for identification by Sir Robert Watson–Watt in his radar system to differentiate between German aircrafts and their   own aircrafts with attached radio transponders.

B. General Components of RFID:

A basic RFID system consists of three components. The integration of these components enables  RFID devices to perform various tasks.


An image of the face is the identification of a person which contains physical information  about the person that can be used for security reasons and access control. Therefore, images  play the single most significant role in human perception. Comparison of different images  through technology is creating a bond between human and machines. A person’s face which needs to be recognized is compared with a facial database and this process is known as Face Recognition (FR). Face recognition is a biometric phenomenon that recognizes faces which are already stored in databases.


A microcontroller is a small computer on a single integrated circuit containing a     processor core, memory, and programmable input/output peripherals. Selecting the correct microcontroller for our work is quite important part of our goal. Issues like technical  features, availability of resources, costs and many more are to be considered before  selecting a microcontroller. PIC16F876A microcontroller is used to program every output.

Pin Configuration of PIC16F876A

Pin Configuration of PIC16F876A.


The following block diagram is a sequential approach of our work.

Sequential Approach.

Sequential Approach.

A. Hardware Sequence:

When the power is turned on, the RFID reader module reads the ID number from the scanned  card. Microcontroller then takes the data from RFID reader module and the ID number is displayed on LCD. Then Microcontroller compares the ID number and displays the respective “ACCEPTED” or “REJECTED” message on LCD. Then, the relevant Data is sent over to PC.


Breadboard Implementation:

Implemented Circuit

Implemented Circuit.


Since RFID is a simple and smart security gadget, hopefully it will be picked up by many  security seeking bodies. Some possible applications of our work may be secured office entrance, personal vault security, RFID based car lock, secured network access, age  verification system, personal car registration card. Use of active RF tags and high frequency reader module will increase the scanning range of the system.

Integration of GSM module with  the present system along with necessary microcontroller coding will provide a remote control over the secured area. Automatic switching of certain electrical appliances like, Air  Conditioner, Fans, lights and etc. at different temperature levels, can be done at  by integrating temperature sensors like LM35 and motion sensors.


In our limited research perimeter, no exact resemblance of our work was found. Though, separate works on Radio Frequency Identification and Facial Recognition are available on respective fields of virtual intelligence, no such combination of RFID and Image Processing has come up in our findings. The goal of our project reflected a new thinking. Now, in working condition, this project holds up a fresh new approach of security system.

Source: American International University
Authors: Md.Saiful Islam | A.S Saeef Mahmud | Rifat Nazneen | Shamanta Hoque Shimu

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