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SISTEM SMART LOCK DOOR DENGAN PEMANTAUAN SUHU TUBUH CONTACTLESS BERBASIS INTERNET OF THINGS (IOT)

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Penilaian

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Currently, home security systems are widely used as an effort to protect against crime. Security system needs to be equipped with the ability to detect body temperature to reduce the spread of COVID-19. Temperature screening is generally used a thermometer gun. However, the use of thermometer guns is limited and cannot be combined with security systems. So, in this study developed a smart lock door system with contactless temperature screening based on the internet of things (iot). This system uses an ESP32 and Arduino Uno microcontroller, the MLX90640 sensor as temperature screening, solenoid lock as a door lock, the Haar Cascade algorithm for face detection, the Local Binary Pattern Histogram algorithm as face recognition, and a code assisted by python programming to send temperature data to the database website, sending an alert if the sample has a temperature above 38 C and a smart lock door system. The results of the system test show that the average temperature difference is 0.1 C and 0.09 C at a distance of 10 cm and 12 cm as the effective distance. Face recognition was also successfully implemented with an accuracy of 80% in dark conditions and 100% in bright conditions. Face recognition and temperature screening were also successfully done with a difference time of sending data to the database website of 0.3 seconds. A warning system where temperature and face data recognized as suspect COVID-19 can be sent to Telegram in real-time update. The security system for faces that are not in the database makes the smart lock door not open even though the face has been detected in the system.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2107002838	T58156	T581562021	Central Library (REFERENCES)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T581562021

Publisher

Inderalaya : Jurusan Teknik Elektro, Fakultas Teknik Universitas Sriwijaya., 2021

Collation

xiv, 44 hlm,: ilus,: 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

620.009 207

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Jurusan Teknik Elektro
Ahli Teknologi

Specific Detail Info

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Statement of Responsibility

SEPTA

Other version/related

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