The Redway RedSDK Rendering Plug-in by IMSI Design enhances TurboCAD's rendering capabilities, delivering high-powered, photorealistic visualizations for your designs.

• Advanced Rendering Engine: Integrates seamlessly with TurboCAD to provide robust, high-quality rendering options, elevating the visual presentation of your projects.
• Extensive Material Library: Access over 500 pre-defined materials, including high-resolution textures, with the flexibility to create custom colors, materials, and effects, allowing for tailored visual outcomes.
• Adaptive Ray-Tracing: Utilize adaptive sampling to optimize rendering times by reducing calculations for pixels based on quality thresholds, achieving up to 75% performance savings with minimal quality loss.
• Post-Processing Effects: Enhance rendered images with effects such as sharpen, glow, blur, and depth of field, along with color manipulation tools like brightness/contrast and hue/saturation/lightness controls, for refined visual outputs.
• Real-Time Material Preview: Experience real-time previews of material changes directly on your model, facilitating efficient adjustments and accurate visualization of materials and finishes.
• Volumetric Environments: Create realistic atmospheric effects by simulating light interaction with particles in the air, adding depth and realism to your scenes.
• Comprehensive Luminance Controls: Manage various light types, including ambient, beam, and area lights, with detailed parameters for color, intensity, and decay, enabling precise lighting setups.
• Shader Programming Support: Integrate existing shaders or create new ones using standard languages like GLSL or ARB, offering flexibility in rendering customization.
• Efficient Data Handling: Process millions of graphic primitives interactively, ensuring smooth performance even with large 3D assemblies or extensive 2D datasets.
• Layer-Based Rendering Filters: Utilize layers as rendering filters to control the effect of each rendering pass, allowing for customized composite visualizations based on contextual information.