Qt Based Video Streaming Software for Recording Video during Experiments using Deep Learning

This research paper introduces a Qt-based video streaming software designed to facilitate the recording of video data during experiments employing Deep Learning capabilities. The software provides a user-friendly interface for seamless video capture, enabling researchers to efficiently document experimental processes. Leveraging the capabilities of the Qt framework, the software provides robustness, flexibility, and cross-platform compatibility. Integrating Deep Learning enhances the software's functionality by enabling automated analysis and annotation of recorded videos. This tool serves as a valuable resource for researchers across various domains requiring precise video documentation and analysis during experimental procedures.