Gerios, Miguelito P., author.
Internet of things touchless temperature notification doorbell / Miguelito P. Gerios, Alyza Latorre, and Trishia Mae M. Ocumen. - Rosario, Cavite : Cavite State University-CCAT Campus, 2022 - xvi, 66 leaves : illustrations ; 28 cm
Design Project (BSEE)--Cavite State University-CCAT Campus, 2022.
Includes bibliographical references and appendices.
GERIOS, MIGUELITO P., LATORRE, ALYZA, OCUMEN, TRISHIA MAE M. Internet of Things (IoT) Touchless Temperature Notification Bell. Undergraduate Design Project. Bachelor of Science in Electrical Engineering. Cavite State University - Cavite College of Arts and Trades Campus, Rosario, Cavite. June 2022. Adviser: Engr. Marc Joshua Prudente. Technical Critic: Engr. Michael M. Ramos Jr.
The main objective of this study was to design a system that can recognize a person and can sense body temperature for the safety of each and everyone in the engineering faculty office. The study specifically aimed to design and develop an IoT touchless doorbell with security features such as facial recognition security and temperature sensing feature. Also, the researchers aimed to test the proposed system in terms of the accuracy of the facial recognition and the temperature monitoring system, and the response time of network connectivity and solenoid lock. Evaluation of the system was based on its functionality, durability, and data security.
The person's facial features and body temperature were used as the variable to trigger the system's security. The Raspberry Pi was used and served as the system main controlling unit, giving commands into the components interconnected into it. A system database was also created in which all the data gathered where stored.
The researchers were able to develop a system that can check a person's body temperature before entering the room as well as recognize if the person is registered within the system's data. The technical aspects of the prototype were evaluated using ISO 25010 model. The result on the system's testing showed that the prototype can accurately recognized the faces registered in the system's data and measure their temperature. The response time of the solenoid lock and the sending of information to the database were also accurate based on the time set by the researchers.
The system can accurately and efficiently check individual's temperature and recognize their faces including the time they enter the room. Therefor, the system successfully met all its objectives based on the results acquired on the study.
In English text.
Temperature sensors.
Sensor networks.
Detectors.
Internet of Things (IoT).
Notification doorbell.
Facial recognition.
UM TK 7872.D48 / G47 2022
Internet of things touchless temperature notification doorbell / Miguelito P. Gerios, Alyza Latorre, and Trishia Mae M. Ocumen. - Rosario, Cavite : Cavite State University-CCAT Campus, 2022 - xvi, 66 leaves : illustrations ; 28 cm
Design Project (BSEE)--Cavite State University-CCAT Campus, 2022.
Includes bibliographical references and appendices.
GERIOS, MIGUELITO P., LATORRE, ALYZA, OCUMEN, TRISHIA MAE M. Internet of Things (IoT) Touchless Temperature Notification Bell. Undergraduate Design Project. Bachelor of Science in Electrical Engineering. Cavite State University - Cavite College of Arts and Trades Campus, Rosario, Cavite. June 2022. Adviser: Engr. Marc Joshua Prudente. Technical Critic: Engr. Michael M. Ramos Jr.
The main objective of this study was to design a system that can recognize a person and can sense body temperature for the safety of each and everyone in the engineering faculty office. The study specifically aimed to design and develop an IoT touchless doorbell with security features such as facial recognition security and temperature sensing feature. Also, the researchers aimed to test the proposed system in terms of the accuracy of the facial recognition and the temperature monitoring system, and the response time of network connectivity and solenoid lock. Evaluation of the system was based on its functionality, durability, and data security.
The person's facial features and body temperature were used as the variable to trigger the system's security. The Raspberry Pi was used and served as the system main controlling unit, giving commands into the components interconnected into it. A system database was also created in which all the data gathered where stored.
The researchers were able to develop a system that can check a person's body temperature before entering the room as well as recognize if the person is registered within the system's data. The technical aspects of the prototype were evaluated using ISO 25010 model. The result on the system's testing showed that the prototype can accurately recognized the faces registered in the system's data and measure their temperature. The response time of the solenoid lock and the sending of information to the database were also accurate based on the time set by the researchers.
The system can accurately and efficiently check individual's temperature and recognize their faces including the time they enter the room. Therefor, the system successfully met all its objectives based on the results acquired on the study.
In English text.
Temperature sensors.
Sensor networks.
Detectors.
Internet of Things (IoT).
Notification doorbell.
Facial recognition.
UM TK 7872.D48 / G47 2022