Asia Pacific University Library catalogue


A COMPUTER VISION-BASED APPROACH ON ENERGY SAVINGS: AUTOMATED SMART HVAC CONTROL / (Record no. 383460)

000 -LEADER
fixed length control field 02326nam a2200229 4500
003 - CONTROL NUMBER IDENTIFIER
control field APU
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20201230020224.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 151218b xxu||||| |||| 00| 0 eng d
050 ## - LIBRARY OF CONGRESS CALL NUMBER
Classification number PG-21-0139
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name LOW JIA CHENG (TP038654)
9 (RLIN) 35016
245 12 - TITLE STATEMENT
Title A COMPUTER VISION-BASED APPROACH ON ENERGY SAVINGS: AUTOMATED SMART HVAC CONTROL /
Statement of responsibility, etc LOW JIA CHENG.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Kuala Lumpur :
Name of publisher, distributor, etc Asia Pacific University,
Date of publication, distribution, etc 2019.
300 ## - PHYSICAL DESCRIPTION
Extent 189 pages :
Other physical details illustrations ;
Dimensions 30 cm.
502 ## - DISSERTATION NOTE
Dissertation note A project submitted in partial fulfillment of the requirement for the degree of B.Sc (Hons) in Computer Science (UC3F1902CS).
520 ## - SUMMARY, ETC.
Summary, etc HVAC system in premises are often left running unattended for long hours even during lunch or after school or work hours which resulted in electricity wastage and high electricity bills. On average, HVAC systems are the second most electricity consuming appliances, reaching up to 28% of electricity use in United States (Simpkins, 2010). Although sensors designed for such use cases have existed, most of the sensors operate without the ability to adjust air conditioner in response to the number of occupants. Presence sensor can detect human presence, but it can only turn air conditioner on or off. As such, this project proposes a solution by integrate computer vision to dynamically adjust air conditioner. Using deep learning model to recognise person and chair, the system calculates occupancy rate which is then used to determine the fan speed. The chairs count is used in the system to adapt to classroom size since there should be more seats in bigger classroom and vice versa. The proposed system then integrates to existing HVAC systems by simply sending infrared instructions using ESP8266 Infrared Transmitter. With Azure IoT Hub’s Device Method, Raspberry Pi transmits specific instruction to ESP8266 remotely. An Android application was also built to display current status and live camera feed. The statuses are sent in real time after each frame is processed through IoT Hub’s Cloud-to-Device messaging feature.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Energy efficiency.
9 (RLIN) 47204
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computational intelligence.
9 (RLIN) 47206
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Automation.
9 (RLIN) 47207
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Application software.
9 (RLIN) 47208
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Dr. Tan Chye Cheah
Relator term Supervisor.
-- 36679
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type Undergraduate Theses
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Use restrictions Not for loan Collection code Home library Current library Shelving location Date acquired Total Checkouts Full call number Barcode Date last seen Copy number Koha item type
Not Withdrawn Available   Not Damaged Restricted access Not for loan Undergraduate Theses APU Library APU Library Reference Collection 29/12/2020   PG-21-0139 00018643 29/12/2020 1 Reference