Open Issues Need Help
View All on GitHubAI Summary: Optimize the WareEye client application to improve barcode scan performance. This involves enhancing frame capture and processing using OpenCV, potentially integrating YOLO for object detection, and improving barcode detection accuracy using pyzbar or a superior library. The goal is to increase frames per second (FPS), reduce latency, and minimize dropped frames while handling RTSP streams from security cameras in a warehouse environment.
AI Summary: Improve the user interface (UI) of the WareEye warehouse dashboard by enhancing the navigation bar. This involves cleaning up the sidebar/navigation bar styling, replacing default `<nav>` tags with custom `<div>`-based layouts, fixing button styling inconsistencies, and adding improved hover/active states for navigation tabs. The task uses HTML (Jinja2 templates), Tailwind CSS, and interacts with a Flask Python backend. Optional improvements include proposing a new color scheme or layout.