Multi-layered security approach is based on two security features; face and fingerprints. The first part of the project is to detect and recognize the face. Whereas, the second part is the scanning and recognition of fingerprints. In this project, face detection system will sense the face of
automatic door unlock model through multilayered security systems
Multi-layered security approach is based on two security features; face and fingerprints. The first part of the project is to detect and recognize the face. Whereas, the second part is the scanning and recognition of fingerprints.
In this project, face detection system will sense the face of the person. After the successful face recognition, the fingerprint system is activated for further approval. The proposed system will unlock the door if face and fingerprints are matched to the existing database.
The objective of this project is to secure homes, offices and areas where intense security is the utmost demand.
it is a hardware and software integrated system which consist of raspberry pi, sd card, finger-print sensor,lcd, hdmi cable, lcd camera, servo motor, etc. and in software we are using artificial intelligence based software which recognizes and identify the persons from database
it is a hardware and software integrated system,In hardware it
consist of raspberry pi, sd card, finger-print sensor,lcd, hdmi cable, lcd camera, servo motor, etc. and in software we are using artificial intelligence based software which recognizes and identify the personss from database
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| raspberry pi | Equipment | 3 | 6500 | 19500 |
| hdmi | Equipment | 1 | 350 | 350 |
| lcd | Equipment | 1 | 3500 | 3500 |
| sd card | Equipment | 2 | 1500 | 3000 |
| camera | Equipment | 2 | 1800 | 3600 |
| finger-print sensor | Equipment | 2 | 3500 | 7000 |
| pi cooling fan | Miscellaneous | 1 | 150 | 150 |
| wires | Miscellaneous | 40 | 5 | 200 |
| casing | Miscellaneous | 1 | 814 | 814 |
| Total in (Rs) | 38114 |
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