Final Year Group Project : Video
Audio Conditioned LipSync with Latent Diffusion Models
a super consistent video depth model
Efficient T2V generation
Generate video from an image
text-to-video
Generate summaries from YouTube videos or uploaded videos
Generate videos from images or other videos
Generate a video from text prompts
Generate realistic talking heads from image+audio
Swap faces in videos
Create animated videos using a reference image and motion sequence
MagicTime: Time-lapse Video Generation Models as Metamorphic
Team18 Video Project is a Final Year Group Project focused on video generation and analysis. It is designed to identify driver distractions from video footage, making it a valuable tool for automotive safety and research. The project leverages AI technology to analyze videos and detect potential distractions, providing insights into driver behavior.
What types of distractions can Team18 Video Project detect?
Team18 Video Project can detect a variety of driver distractions, including texting, eating, talking to passengers, and reaching for objects.
Can Team18 Video Project work with real-time video feeds?
Yes, the project supports real-time video analysis, making it suitable for live monitoring applications.
How accurate is the distraction detection system?
The accuracy of the system depends on the quality of the video and lighting conditions but is optimized for high precision in typical driving scenarios.