Intruder detection using histogram and edge detection algorithms (Record no. 6736)

MARC details
000 -LEADER
fixed length control field 01984nmm a2200313 a 4500
001 - CONTROL NUMBER
control field vtls000098371
003 - CONTROL NUMBER IDENTIFIER
control field KUKTEM
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251117113325.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 161209s2016 my fq d 001 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number THE0005064(Local)
039 #9 - LEVEL OF BIBLIOGRAPHIC CONTROL AND CODING DETAIL [OBSOLETE]
Level of rules in bibliographic description 201905101513
Level of effort used to assign nonsubject heading access points hanafiah
Level of effort used to assign subject headings 201712191239
Level of effort used to assign classification saini
-- 201612091141
-- saini
040 ## - CATALOGING SOURCE
Original cataloging agency UMP
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) FKP .T365 2016 r Bc.
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) CD 10391
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Tan, Kai Yang
245 10 - TITLE STATEMENT
Title Intruder detection using histogram and edge detection algorithms
Medium [electronic resource] /
Statement of responsibility, etc. Tan Kai Yang
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Kuantan, Pahang :
Name of publisher, distributor, etc. UMP,
Date of publication, distribution, etc. 2016
300 ## - PHYSICAL DESCRIPTION
Extent 1 computer disc :
Other physical details digital data ;
Dimensions 12 cm.
500 ## - GENERAL NOTE
General note Faculty of Manufacturing Engineering
500 ## - GENERAL NOTE
General note Theses Gred A
502 ## - DISSERTATION NOTE
Dissertation note Project Paper (Bachelor of Mechatronics Engineering (Hons.)) -- Universiti Malaysia Pahang – 2016
520 3# - SUMMARY, ETC.
Summary, etc. Nowadays, night vision technology enables a person to be seen in the dark. In the past, night vision was implemented by making use of the infrared spectrum of electromagnetic waves and devices such as image intensifiers. With the growing popularity of digital computing, many digital image processing techniques have been proposed to implement night vision. These techniques can enhance the images captured by ordinary cameras under low light conditions and can be implemented completely in software. The entire project is done by using image processing techniques via OpenCV which run on Linux environment. The challenge of this project focuses on the detection ability of intruder by using a webcam at a fixed position in low light condition.
538 ## - SYSTEM DETAILS NOTE
System details note Item in pdf format
610 20 - SUBJECT ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Faculty of Manufacturing Engineering
General subdivision Dissertations
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Universities and Colleges
General subdivision Dissertations
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Theses
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://ecollib.ump.edu.my/id/eprint/4001">http://ecollib.ump.edu.my/id/eprint/4001</a>
Public note Access in library only
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Date acquired Total checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
  Not lost   Not for loan UMPLIB PEKAN UMPLIB PEKAN 04/09/2019   FKP .T365 2016 r Bc. | CD 10391 0000115906 04/09/2019 1 04/09/2019 Final Year Report

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