研究目的
To implement a complete system for face recognition that is easy to build, cost-effective, and can be used for security purposes in various locations like homes, offices, industries, and airports.
研究成果
The proposed system integrates IoT as a backbone and biometric face recognition as a tool for security purposes. It can be used for identification and verification of persons at various locations like residences, offices, industries, bank lockers, and airports for purposes like theft identification and surveillance.
研究不足
The accuracy of the system depends on the number of samples in the database. Larger the number of samples, more will be the accuracy of the system.
1:Experimental Design and Method Selection:
The system uses image processing for face identification, integrating IoT for notification purposes. The algorithm is implemented on Python, running on a Raspberry Pi.
2:Sample Selection and Data Sources:
Images of known persons are trained in the database for recognition.
3:List of Experimental Equipment and Materials:
Raspberry Pi model, 5MP camera, USB ports, LAN ports.
4:Experimental Procedures and Operational Workflow:
When a visitor presses the doorbell, the camera captures the image, processes it for face recognition, and matches it with the database. Notifications are sent to the owner via web or Android notifications.
5:Data Analysis Methods:
The system checks the captured image against the database for matches and sends the result to the owner.
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