Algorithm for Accurate People Counting in Conference Halls
- Title
- Algorithm for Accurate People Counting in Conference Halls
- Abstract
-
Background: Intelligent conference rooms are
crucial to 21st-century enterprises for events. Safety, resource
optimisation, and event management depend on accurate counting
in such contexts. Manual headcounts are effective yet inefficient
and error-prone, particularly for big crowds requiring automatic
people counters.
Objective: This article introduces and validates a data-driven
algorithm to count and track people in an intelligent conference
hall. The concept uses IoT infrastructure, low-resolution cameras,
and powerful image-processing algorithms to improve security,
resource usage, and real-time management choices.
Methods: The message-oriented IoT algorithm incorporates
motion detection, background subtraction, people counting, and
tracking modules. Blob analysis, edge detection, and low
maintenance, low-resolution cameras capture real-world data. A
decision-making module controls the conference hall's atmosphere
based on real-time data.
Resu
lts
: The algori
thm oper
ate
s with exce
pti
onal
dependability with a 96.5% accuracy rate and 95% confidence
interval in real-time individual counts. Using real-world data and
experimental findings, the algorithm has been extensively tested
and shown to work in diverse head-counting situations.
Conclusion: Intelligent conference hall management using the
suggested algorithm might revolutionise venue management. The
algorithm is accurate, and real-time headcounts improve security,
resource utilisation, and management decisions. This makes it a
promising candidate for intelligent conference hall management
and optimisation for diverse events and gatherings. - Scientific Type
- غير معروف
- Journal volume
- vol.35,No.1
- Collaboration type
- مشترك
- Publish Date
- April 26, 2024
- Participated Universities (Publication)
-
Alnoor University
- Scopus status
- In Scopus
- Scopus index year
- 2 024
- Scopus quarter
- 5
- Scopus citation score
- 0
- Clarivate status
- Not In Clarivate
- Pub. Med. status
- Not In PubMed
- Author (Publication)
- مصطفى محمد جاسم محمد
- Journal (Publication)
-
PROCEEDING OF THE 35TH CONFERENCE OF FRUCT ASSOCIATION
- Publisher (Publication)
- IEEE Computer Society
- ISSN
- 2305-7254
- Country (Publication)
-
Russian Federation
- Country type
- عالمية
- College (Publication)
-
College of Engineering
- Departement (Publication)
-
Department of AI engineering
- Media
-
Academic paper
Part of Algorithm for Accurate People Counting in Conference Halls