Development of noise detector with alarm system for Cavite State University-CCAT Campus / Alcel Raphael O. Lansangan [and three others.] - Rosario, Cavite : Cavite State University-CCAT Campus, 2022. - xv, 63 leaves : illustrations ; 28 cm

A design project (BSCpE)--Cavite State University-CCAT Campus, 2022.

Includes bibliographical references and appendices.

LANSANGAN, ALCEL RAPHAEL O., GILBOY, HARVEY N., BUHAIN, AARON JEREMHEE S., STO. TOMAS, JAYSON A. DEVELOPMENT OF NOISE DETECTOR WITH ALARM SYSTEM FOR CAVITE STATE UNIVERSITY - CCAT CAMPUS. Design Project. Bachelor of Science in Computer Engineering. Cavite State University - Cavite College of Arts and Trades Campus, Rosario, Cavite. June 2022. Adviser: Engr. Kenneth J. Enrico. Technical Critic: Engr. Michael M. Ramos Jr.
The study focused on the development of noise detector with alarm system for
Cavite State University - CCAT Campus which is a noise detector for the campus library. Specifically, it aimed to design and build a noise detector with an alarm system for a library that will allow you to control the noise inside the building; design a program that detects noise with a preset decibel and warns the students if the programmed decibel has been reached, test and evaluate the performance of the device through ISO 25010 Quality Model. The primary materials used in this study are Arduino nano, sound detection sensor module, and buzzer. The accuracy and speed of the program and sensors were used as parameters, each having three trials. The technical aspects of the hardware and software of the prototype were evaluated using ISO 25010 Quality Model. The device was tested three times based on the results of the testing. The program's speed is not constant, but it is quick with 1.5 seconds being the latest delay. Based on the evaluation using ISO 25010 Quality Model, the prototype received ratings ranging from 4.43 to 4.67 in all categories, falling between satisfactory and excellent on the rating scale. The lowest rating in the category of compatibility is 4.43, while the best rating in the field of usability is 4.67.
As a result, the findings of this analysis reveal that the output project achieved all of its objectives. The researchers were successful in developing a device that can track noise inside the library. The device can accurately and precisely detect noise, once noise exceeds to 80 decibels. The study has proven to be effective and functional.


In English text.


Noise detector.
Alarm system.
Sound detection.
Sensor noise.
Detector.
Library.

UM TK 7872.D48 / D48 2022

Powered by Koha