Cruzcortes offers an augmented reality platform for artists and creators to conceptualize and execute digital art in physical spaces. Its Pixelux application provides a spatial canvas for 3D drawing and creation, leveraging ARKit for precise tracking and Vision2 for enhanced spatial awareness.
Funding
Funding not disclosed
Founders
Product
Problem
Artists and creators often face limitations in translating digital concepts into physical spaces, hindering the exploration of new artistic mediums. Existing tools may not fully leverage the spatial computing capabilities of augmented reality, leading to fragmented workflows and reduced creative potential.
Solution
Cruzcortes provides an augmented reality platform designed to empower artists and creators by enabling them to conceptualize and execute digital art within their physical environments. The Pixelux application offers a spatial canvas for drawing and creating in 3D space, utilizing ARKit for precise tracking and interaction. Vision2, an underlying computer vision platform, enhances AR performance by improving spatial awareness and object recognition, facilitating more immersive and responsive experiences. This integrated approach allows for the seamless blending of digital artistry with real-world contexts, opening new avenues for creative expression and spatial design.
Target Audience
The primary target audience includes digital artists, 3D modelers, designers, and creators seeking to explore augmented reality as a new medium for their work.
Features
- Pixelux AR application for spatial drawing and digital art creation in real-world environments.
- ARKit integration for precise 3D spatial tracking and rendering.
- Image projection and tracing functionality to overlay and trace images onto physical surfaces.
- Hand sketching mode allowing direct 3D drawing with finger input.
- Hand occlusion toggle for enhanced immersion during AR interactions.
- Opacity and outline controls for detailed artistic manipulation.
- Vision2 computer vision platform providing enhanced spatial awareness and performance for AR applications.
- AI-driven scene reconstruction capabilities for rebuilding environments from visual data.
- Advanced image analysis for processing and extracting insights from visual inputs.
- Commitment to not using user artwork for AI model training.