Plask Motion revolutionizes how movement is recorded, refined, and applied in digital production pipelines. By leveraging computer vision and deep learning, the platform interprets 2D video input to extract accurate skeletal motion in 3D space. Each frame is analyzed for biomechanical consistency, ensuring natural transitions between poses and eliminating jitter common in conventional motion capture systems. Its AI motion solver reconstructs full-body kinetics—including fine-grain hand, hip, and head movement—resulting in lifelike animation fidelity. Plask Motion’s real-time capture environment allows directors and animators to visualize performances instantly and make creative decisions on the fly. It supports integration with Unreal Engine, Blender, and Maya, offering one-click retargeting to custom character rigs. The browser-based editor enables motion cleanup, timing adjustment, and blending multiple takes seamlessly. Plask’s cloud processing architecture allows multi-user collaboration, automatic backup, and continuous AI improvement. Whether used for cinematic storytelling, gaming, education, or live streaming, Plask delivers motion realism that adapts to the modern digital studio workflow.

Key Features

• AI-powered full-body motion capture from video input

• Real-time preview, editing, and animation blending

• Integration with Unreal, Blender, and Maya

• Browser-based collaborative interface with cloud storage

• Rig retargeting and motion clean-up tools

Industries

• Animation & 3D Modeling

• Film & VFX Production

• Game Development

• Virtual Reality & XR

• Education & Training

A film director captures live actor performances on set with ordinary cameras and uses Plask Motion to generate mocap data for CGI characters—eliminating the need for motion suits. A game developer records reference footage of stunt movements and instantly converts them into clean skeletal animations for in-game use. A VFX studio animates digital doubles using archival video footage, saving hours of manual keyframing. An indie filmmaker integrates Plask Motion into Unreal Engine to create real-time previs scenes with actor motion mapped directly to virtual avatars. An online educator builds a library of realistic movement clips for digital training simulations. A sports science researcher uses Plask to analyze and replicate biomechanics for athlete motion studies. A dance choreographer visualizes performance routines through digital avatars for concept presentations. A virtual influencer agency animates 3D avatars from webcam performances for live-stream events. A VR developer integrates captured gestures into immersive storytelling environments. A YouTuber creates animated explainers with realistic character motion without hiring mocap teams. A game animation supervisor uses Plask’s batch processing to standardize NPC movement styles. A post-production team retargets actor footage to stylized 3D rigs with consistent timing. A museum exhibition employs Plask to recreate historical reenactments in real time. An e-learning company animates sign language avatars for accessibility-driven projects. A social media content creator converts self-recorded dance videos into 3D animated TikTok avatars. An AR production team designs animated holograms driven by Plask-captured motion data. A simulation lab studies gesture control interfaces using Plask’s motion datasets. A film school integrates it into its animation curriculum to teach real-time mocap workflows. Every creative discipline that involves human motion benefits from Plask’s combination of accuracy, accessibility, and cloud scalability. Plask democratizes motion capture—making it possible for anyone, from indie creators to professional studios, to infuse projects with genuine movement, emotion, and realism.