Among other applications, face recognition is one of the primary biometric tasks, becoming more and more important as advances in technologies such as Internet, digital cameras require increased security key features. Face recognition can operate either on still images or image sequences. Also, it c
Face Detection Door System
Among other applications, face recognition is one of the primary biometric tasks, becoming more and more important as advances in technologies such as Internet, digital cameras require increased security key features. Face recognition can operate either on still images or image sequences. Also, it can manage either or both tasks: face identification (or recognition) and face verification (or authentication).
Face is most commonly used biometric to recognize people. Face recognition has received substantial attention from researchers due to human activities found in various applications of security like airport, criminal detection, face tracking, forensic etc. Compared to other biometric traits like palm print, Iris, finger print etc., face biometrics can be non-intrusive.
Face recognition is an important application of image processing owing to its use in many fields. An effective face recognition system based on OpenCV is developed in the project. ... A real time door lock access system by face recognition system based on PCA is presented in the project.
1, To open door without keys Using Face Recognition
2, Communication Module with Ardunio
4,Bio Matrix Sensor
The implementation of face recognition technology includes the following four stages:
Benefits of Face Detection Door System is Multilayer Secuerty System
Faster and secure door unlock
No need to Carry Keys in your Pockets
Comunication Module so Notify other's even you are not at home
FingerPrint Senesor Even if you need alternative Method to Access your Door
We are using modern technology module like arduino & raspberry pi and other circuits to make it more reliable and efficient for security purpose.we are also using python languange and java for android app and we aslo used openCV for high effective face recognization. We are using bio-matric sensor to increase door lock system.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Raspberry Pi 3 (Model B+) | Equipment | 1 | 8000 | 8000 |
| Arduino Mega | Equipment | 2 | 1200 | 2400 |
| Power Bank | Equipment | 2 | 2500 | 5000 |
| Charger | Equipment | 1 | 1000 | 1000 |
| Jumper Wires | Miscellaneous | 50 | 5 | 250 |
| Speaker | Equipment | 1 | 800 | 800 |
| Connection Cable for Raspberry Pi | Miscellaneous | 1 | 150 | 150 |
| Connection Cable for Arduino | Miscellaneous | 1 | 150 | 150 |
| SD Card | Equipment | 2 | 800 | 1600 |
| SD Card reader for Arduino | Equipment | 1 | 300 | 300 |
| Wifi Module | Equipment | 1 | 300 | 300 |
| Finger Print Module | Equipment | 1 | 4500 | 4500 |
| Bread Board | Equipment | 1 | 200 | 200 |
| Camera | Equipment | 2 | 1200 | 2400 |
| HDMI Cable | Miscellaneous | 1 | 300 | 300 |
| Led | Miscellaneous | 10 | 5 | 50 |
| Chassis (Body) | Equipment | 1 | 800 | 800 |
| Raspberry Pi 3 (Model B+) | Equipment | 1 | 8000 | 8000 |
| Arduino Mega | Equipment | 2 | 1200 | 2400 |
| Power Bank | Equipment | 2 | 2500 | 5000 |
| Charger | Equipment | 1 | 1000 | 1000 |
| Jumper Wires | Miscellaneous | 50 | 5 | 250 |
| Speaker | Equipment | 1 | 800 | 800 |
| Connection Cable for Raspberry Pi | Miscellaneous | 1 | 150 | 150 |
| Connection Cable for Arduino | Miscellaneous | 1 | 150 | 150 |
| SD Card | Equipment | 2 | 800 | 1600 |
| SD Card reader for Arduino | Equipment | 1 | 300 | 300 |
| Wifi Module | Equipment | 1 | 300 | 300 |
| Finger Print Module | Equipment | 1 | 4500 | 4500 |
| Bread Board | Equipment | 1 | 200 | 200 |
| Camera | Equipment | 2 | 1200 | 2400 |
| HDMI Cable | Miscellaneous | 1 | 300 | 300 |
| Led | Miscellaneous | 10 | 5 | 50 |
| Chassis (Body) | Equipment | 1 | 800 | 800 |
| Total in (Rs) | 56400 |
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