Automated object detection involves using advanced algorithms to analyze images or videos in real-time tor recognize and categorize objects, like school uniforms, in a specific setting. Nevertheless, the existing process of monitoring school uniforms is manually checked by staff or instructors of the school which leads to human error and allowing unauthorized individuals to enter the premises unnoticed. This paper will investigate the advantages of using automated monitoring to address these issues, proposing an Agile Development Model developing the system to enable continual improvement and prompt adjustments informed by user input and technological progress. The results revealed that the system could effectively implement, in terms of the functionality in displaying and generating information, the system gathered an overall mean of 4.92 and 4.94 which indicate as Highly Functional. Furthermore, enhancing the system's development also has a total mean of 5, which indicates Strongly Functional. These ratings reflect the overall performance of the Automated School Uniform Detection System, including its accuracy, efficiency, and reliability in detecting uniform compliance.