FINGERPRINT SCAN AND FACE CAPTURE WITH INTERNET OF THINGS TECHNOLOGY FOR THE HOST ROOM
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Abstract
This research aimed to present the fingerprint scan and face capture with Internet of Things (IoT) technology for the host room. The system design was based on the accessibility of personnel within the server host room. In the fingerprint scanning system, to unlock the door, the Arduino Uno R3 would order the Raspberry Pi board to turn on the camera and capture the face of the person who was scanning the fingerprints by recording the fingerprint and the picture of that person into the database with the date and time of scanning. After that, the system would extract the fingerprint with the correct information and unlock the door. If the information of that person was not correct, the system would record the date and time, including capturing the picture of that person who wanted to enter the server room and sending the information through the Line application to the person in charge. The research found that, according to the database of registered personnel, the system accurately verified the personnel with permission to access the server room at 90%. The accuracy of face capture was at 95%, data recording was at 100% and line application notification was at 100%.
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References
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