Extracting values from video content, such as object size and speed, presents significant challenges due to the limitations of current technology. While video playback software can provide basic parameters, analyzing the actual content requires advanced techniques. Most videos are essentially flat images, making it difficult to derive physical movement from pixel data without specific setups, such as using multiple cameras with known distances and optical properties.In professional applications, systems like Hawk Eye utilize multiple cameras and predefined object sizes to accurately track movements, but this is much simpler for small, unobstructed objects compared to complex shapes like humans. Motion tracking in film often involves numerous cameras and reflective markers to enhance accuracy. Although there are tools like OpenCV for computer vision tasks, the technology for comprehensive object extraction from video is still developing, with a potential shift towards 3D video standards in the future.