Design and Development of Cross Capture Cam (3C): A Disaster and Traffic Management and Monitoring System using Image Detection of Urdaneta City

  • Hannah Dorothy B. Niño College of Information and Technology Education, Urdaneta City University, Philippines
  • Ian Eleazar B. Mariñas College of Information and Technology Education, Urdaneta City University, Philippines
  • Arnel B. Ocay College of Information and Technology Education, Urdaneta City University, Philippines

Abstract

Purpose  – The study aims to develop an innovative approach for monitoring traffic and disaster incidents in the Public and Safety Office of Urdaneta City. This involves implementing image-based processing algorithms through strategically positioned CCTV cameras on city streets. Specific research objectives include identifying user requirements for the monitoring system, determining the suitable image-processing framework, and assessing the acceptance of the developed system.

Method – The research primarily focuses on designing and developing an image processing-based traffic and disaster monitoring system. Adopting Extreme Programming (XP) as the software development methodology, the researchers prioritize rapid deliverable production and a collaborative environment between developers and clients. The study employs a descriptive research approach, utilizing quantitative analyses for data collection. Various instruments, such as interviews, survey questionnaires, observations, and literature reviews, were employed to gather user requirements and feedback. ISO 9126 was utilized for assessing user acceptability, offering a structured approach to evaluating software quality.

Results – The study aimed to streamline traffic management for the management team by developing a digital system. The focus was on the role of CCTV cameras in reducing crime and traffic violations. Findings highlighted the effectiveness of CCTV installations, particularly at red lights and intersections. Interviews with the Public Order and Safety Office in Urdaneta City emphasized the challenges in manual monitoring and the importance of adhering to safety rules. Collaboration with the PNP Urdaneta highlighted the need for timely responses to incidents. The study underscores the role of technology, collaboration, and efficient reporting in enhancing traffic management and public safety.

Conclusion – In this study, our focus was on creating an image recognition-based traffic and incident monitoring system utilizing video surveillance cameras for implementation in Urdaneta City. The following conclusions have been derived: The project requirements were meticulously analyzed by examining the existing business rules and policies of POSO Urdaneta City in incident monitoring implementation, influencing the design and development of the proposed system. While YOLOv3 proved efficient with its AI-based features for achieving research goals, its resource-intensive nature and limited small object detection capacity suggest considering alternative versions for enhanced performance in similar algorithm development. User acceptability testing results reveal a high acceptance level (GWM of 4.5), signifying satisfaction among system implementers. However, the researchers recommend additional technical testing on the CCTV devices for further refinement.

Recommendations – The research work has provided means of traffic monitoring through the use of technological innovations. Thus, to support the successful implementation of these technologies, the organization should maintain a sufficient working environment for these tools.

Research Implications – This undertaking provides insights as an administrative strategy to enhance traffic management and monitoring procedures using image-based detection.  This study can be used to minimize errors and provide comprehensive and evidence-based documentation for traffic and disaster management that will be used in the future.

Social Implications  –  This research endeavor aimed to be part of the mechanism to provide a safer and more secure environment for the community enhancing their safety and security.

Author Biographies

Hannah Dorothy B. Niño, College of Information and Technology Education, Urdaneta City University, Philippines

Hannah Dorothy B. Niño, a dedicated graduating student from the College of Information and Technology Education at Urdaneta City University, stands at the intersection of academic excellence and technological innovation. With a passion for information technology, she actively participated in the international conference on information technology education, showcasing not only individual prowess but also contributing to a winning team. Leading her team to victory, Niño secured the prestigious title of Best Poster Presentation during the contest held on November 17, 2023. This achievement not only reflects her commitment to academic pursuits but also underscores her ability to collaborate and excel in a competitive academic environment. She is poised for a promising future, continuing to lead with distinction in the ever-evolving landscape of her chosen field.

Ian Eleazar B. Mariñas, College of Information and Technology Education, Urdaneta City University, Philippines

A highly skilled programmer, Ian Eleazar B. Marinas is a graduating student from the College of Information and Technology Education at Urdaneta City University. Known for his exceptional programming prowess, he has been an invaluable asset to our team, contributing significantly to the success of various projects. Marinas combines technical expertise with a meticulous approach to coding, ensuring the implementation of efficient and innovative solutions. He has demonstrated a commitment to continuous learning and staying abreast of the latest technologies in the dynamic field of information and technology education. As he nears graduation, Ian Eleazar B. Marinas stands as a promising professional poised to make substantial contributions to the world of programming and technology.

Arnel B. Ocay, College of Information and Technology Education, Urdaneta City University, Philippines

Dr. Arnel B. Ocay, a distinguished Doctor of Information Technology Professor at Urdaneta City University, serves as both the esteemed adviser and co-author for this group. With a wealth of knowledge and expertise in the field, Dr. Ocay has been instrumental in guiding and shaping the research endeavors of the group. His extensive academic background has not only enriched the project but has also inspired the formulation of innovative ideas. As a co-author, Dr. Ocay has played a pivotal role in contributing to the scholarly content and ensuring the project's alignment with the highest academic standards. His commitment to academic excellence and mentorship has significantly influenced the success of the collaborative efforts within the group.

Published
2024-01-24
How to Cite
NIÑO, Hannah Dorothy B.; MARIÑAS, Ian Eleazar B.; OCAY, Arnel B.. Design and Development of Cross Capture Cam (3C): A Disaster and Traffic Management and Monitoring System using Image Detection of Urdaneta City. International Journal of Computing Sciences Research, [S.l.], v. 8, p. 2781-2795, jan. 2024. ISSN 2546-115X. Available at: <//stepacademic.net/ijcsr/article/view/510>. Date accessed: 20 may 2024.
Section
Articles