Face Lock.ppt
- 1. TITLE:
- 2. Face Recognized Door Locking System using Arduino and FPS
- 3. Objective • The objective is to develop a face recognition door locking system using a laptop and NodeMCU. • This involves implementing face recognition algorithms on the laptop, interfacing with NodeMCU for door control, and integrating hardware components like a webcam and electronic lock for secure access control.
- 4. Introduction • Introducing a sophisticated door locking system utilizing face recognition technology. • This innovative setup integrates a laptop for image processing, a NodeMCU microcontroller for door control, and a webcam for face capture. • Seamlessly combining hardware and software, it promises advanced security with convenient access control
- 5. Existing System • In the existing system, you can describe how a basic password-based door locking system using Arduino works. • Vulnerable to password theft if the password is easy to guess or intercept. • Limited security, as someone could watch the user enter the password and gain unauthorized access. • No user identification beyond the password.
- 6. Block Diagram Node MCU Power Supply Adaptor LCD Display Laptop (Inbuilt Camera) Relay Buzzer Lock
- 7. Hardware: • NodeMCU • LCD Display • Relay • E-Lock • Buzzer • Power Supply Adaptor Software: • Arduino IDE • Embedded C Programming Language Equipment's
- 8. Proposed System • In the proposed system, upon a face match, data is sent to NodeMCU to control the door via relay. • Users receive a "Someone entered into the home" alert. • In case of no match, a "Someone trying to enter the home" alert is sent. • NodeMCU facilitates door control based on facial recognition results, enhancing home security. • Capture images of the authorized users' faces using the Laptop camera.
- 9. Proposed System Real-time Face Recognition: • Continuously capture frames from the camera. • Detect faces in the captured frames using face detection algorithms. • Use the same face recognition library to generate embeddings for the detected faces. • Compare the generated embeddings with the stored embeddings of authorized users. • If a match is found within a certain similarity threshold, grant access.
- 10. Proposed System • Once authentication factors are validated, the NodeMCU sends a signal to control the lock mechanism. • The solenoid lock is activated to unlock the door. • After a set period of time, the lock is re-engaged to secure the door.
- 11. Advantages • Enhanced Security • No Need for Physical Keys or Cards • Quick Authentication • Cost-Effective
- 12. Application • Home • Offices • Bank lockers
- 13. References • Shilpashree P.S, Abhishek Kumar Tiwari, Ashutosh Prakash Saurabh Kumar Singh, “Cloud Based Secured Locker” International Journal of Scientific Research & Engineering Trends Volume 5, Issue, Mar-Apr-2019, ISSN (Online): 2395-566X • Piash Paul, Md. Abdullah Al Achib, Hazrat Sauda Hossain, Md. Kaviul Hossain “Smart Door LockUsing Fingerprint Sensor” BRAC University, October 2019.