Academia.eduAcademia.edu

Figure 1 – uploaded by IJRASET Publication

See full PDFdownloadDownload figure
Figure 1: Multi Layer Anti theft system Block diagram The Multilayer security System is designed using Arduino Nano Controller, RFID module(RC522), LCD module, Fingerprint sensor (R307), 3x4 Matrix Keyboard, Ultrasonic Sensor (HC-SR04), GSM module (SIM800-WB64) and Servo motor as shown in Figure 1.

Figure 1 Multi Layer Anti theft system Block diagram The Multilayer security System is designed using Arduino Nano Controller, RFID module(RC522), LCD module, Fingerprint sensor (R307), 3x4 Matrix Keyboard, Ultrasonic Sensor (HC-SR04), GSM module (SIM800-WB64) and Servo motor as shown in Figure 1.

Related Figures (11)

Figure 2: Multi Layer Anti theft system System flow
Figure 2: Multi Layer Anti theft system System flow
Figure 3 (a): Implemented system front side
Figure 3 (a): Implemented system front side
Figure 4: Password Authentication interface
Figure 4: Password Authentication interface
Authentication layer interface has shown in figure 5. The performance of the RC522 RFID module-based authentication layer was effective in identifying and authenticating tags. The system was able to read tags accurately at distances of up to 10 cm, and the orientation of the tags did not significantly affect the performance of the system. The system has been tested against multiple RFID cards which gives significant performance, RFID Authentication layer interface has shown in figure 5. The results of the study showed that the R307 fingerprint sensor-based authentication layer was effective in identifying and authenticating fingerprints. The system was able to enroll and recognize fingerprints accurately, with an average recognition time of less than 5-10 second; the fingerprint-based authentication component was tested by capturing and verifying a large number of fingerprints. The system achieved an good accuracy, which demonstrates its ability to accurately and reliably verify user identities using fingerprints. Fingerprint based authentication provides great stability and it is difficult to create fake identity based on biometric image which provides robustness to the system, Fingerprint Authentication layer interface has shown in figure 6.
Authentication layer interface has shown in figure 5. The performance of the RC522 RFID module-based authentication layer was effective in identifying and authenticating tags. The system was able to read tags accurately at distances of up to 10 cm, and the orientation of the tags did not significantly affect the performance of the system. The system has been tested against multiple RFID cards which gives significant performance, RFID Authentication layer interface has shown in figure 5. The results of the study showed that the R307 fingerprint sensor-based authentication layer was effective in identifying and authenticating fingerprints. The system was able to enroll and recognize fingerprints accurately, with an average recognition time of less than 5-10 second; the fingerprint-based authentication component was tested by capturing and verifying a large number of fingerprints. The system achieved an good accuracy, which demonstrates its ability to accurately and reliably verify user identities using fingerprints. Fingerprint based authentication provides great stability and it is difficult to create fake identity based on biometric image which provides robustness to the system, Fingerprint Authentication layer interface has shown in figure 6.
The OTP-based security system using the SIM800-WB64 GSM module was effective in providing additional security. The system was able to generate and send OTPs accurately and quickly and send them to the user device via SMS. The user device was able to enter the OTP and send it back to the microcontroller for authentication, with an average authentication time of less than 5 seconds. The system was also able to detect and prevent phishing attacks, and replay attacks were ineffective due to the OTP's one-time use. The system was also able to operate reliably in different network environments, including areas with low signal strength. This Layer was tested by generating and verifying a large number of one-time passwords. The system achieved an good success rate, which indicates its ability to securely and efficiently verify user identities using OTPs, OTP Authentication layer interface has shown in figure 7(a) and figure 7(b).
The OTP-based security system using the SIM800-WB64 GSM module was effective in providing additional security. The system was able to generate and send OTPs accurately and quickly and send them to the user device via SMS. The user device was able to enter the OTP and send it back to the microcontroller for authentication, with an average authentication time of less than 5 seconds. The system was also able to detect and prevent phishing attacks, and replay attacks were ineffective due to the OTP's one-time use. The system was also able to operate reliably in different network environments, including areas with low signal strength. This Layer was tested by generating and verifying a large number of one-time passwords. The system achieved an good success rate, which indicates its ability to securely and efficiently verify user identities using OTPs, OTP Authentication layer interface has shown in figure 7(a) and figure 7(b).
Table 1. Comparative analysis: such as hardware Cost efficiency and Security layers.
Table 1. Comparative analysis: such as hardware Cost efficiency and Security layers.
The Intruder System which was effective in detecting intruders and sending alerts via email using ESP32 CAM and Ultrasonic sensor HC-SR04. The system was able to accurately detect unauthorized access by monitoring motion near the safe deposit boxes within the range of 50 cm and also detect incorrect password attempts which indication is sent by the controller to the ESP32 CAM . The system was able to send email alerts to the designated email address via an SMTP server, indicating the image of the user who is currently trying to access the system and it has been found that the system takes an average time of 5-10 sec to send the image. Below table 1 we have tried to explain how effective our proposed solution is over existing solutions by comparing some parameters such as hardware Cost efficiency and Security layers.
The Intruder System which was effective in detecting intruders and sending alerts via email using ESP32 CAM and Ultrasonic sensor HC-SR04. The system was able to accurately detect unauthorized access by monitoring motion near the safe deposit boxes within the range of 50 cm and also detect incorrect password attempts which indication is sent by the controller to the ESP32 CAM . The system was able to send email alerts to the designated email address via an SMTP server, indicating the image of the user who is currently trying to access the system and it has been found that the system takes an average time of 5-10 sec to send the image. Below table 1 we have tried to explain how effective our proposed solution is over existing solutions by comparing some parameters such as hardware Cost efficiency and Security layers.
Table 2. Installed modules power consumption: It is worth noting that the proposed system collectively provides more robustness in terms of security provided by the existing system by combining multiple layer Authentication System and Intruder System as well as the time consumption by the each layer to process is very less and the system accuracy which we get because of the dedicated module is really a great.
Table 2. Installed modules power consumption: It is worth noting that the proposed system collectively provides more robustness in terms of security provided by the existing system by combining multiple layer Authentication System and Intruder System as well as the time consumption by the each layer to process is very less and the system accuracy which we get because of the dedicated module is really a great.
The per hour power consumption of the whole system has been shown in the table 2. We have calculated the power consumption with the assumption of system is used 5 times in an hour.
The per hour power consumption of the whole system has been shown in the table 2. We have calculated the power consumption with the assumption of system is used 5 times in an hour.
Related topics:
Motion DetectionAlert system
580 California St., Suite 400
San Francisco, CA, 94104
© 2025 Academia. All rights reserved