Worked on the ultralytics/ultralytics repository to enhance the reliability and consistency of region-point references across object counting, queue estimation, and speed estimation modules. Focused on standardizing default region points, updating configuration files, and refining the main solution logic to ensure accurate and robust analytics. Leveraged Python and computer vision techniques to reduce regional reference errors in production workflows, while also improving test coverage and validation around region-point handling. This work addressed a key bug, resulting in more consistent region references and improved accuracy for downstream analytics and model evaluation, particularly in object detection and related estimation tasks.