Use Cases
Curve Reality supports teams building systems where compute must be wearable, portable, or decoupled from the display layer.
Wearable XR Compute
Body-worn compute for AR/VR systems that outgrow integrated headsets.
Build AR/VR systems where the headset stays light and the compute lives on the body. Separate optics from processing so you can iterate on displays without redesigning your compute stack.
Typical Requirements
- Low-latency video output to headset
- Continuous battery operation (2-8 hours)
- Compact, body-worn form factor
- Android (LineageOS) or Linux (L4T) support for XR runtimes
How the Platform Helps
- DisplayPort over USB-C for direct headset connection
- Hot-swappable M12 batteries for continuous runtime
- Compact carrier boards designed for wearable integration
- CB301 supports Android; CB302 supports Linux + JetPack
Mobile Robotics & Field Compute
Battery-powered edge AI for environments where wall power and racks don't exist.
Deploy AI-accelerated compute in mobile robots, drones, or field equipment where power efficiency and ruggedness matter more than rack space.
Typical Requirements
- NVIDIA Jetson-class AI acceleration
- Battery-powered operation
- Ruggedized or protected enclosure
- Camera and sensor interfaces
How the Platform Helps
- Orin Nano/NX modules with up to 100 TOPS
- Milwaukee M12 ecosystem for field-serviceable power
- Modular housing options for protection
- Dual MIPI CSI camera interfaces
Industrial Training & Teleoperation
Wearable compute for operators who need both hands free.
Equip workers with wearable compute for training, remote assistance, or teleoperation. Systems that move with the operator, remain hands-free, and survive industrial environments.
Typical Requirements
- Hands-free operation
- Real-time video streaming
- Durable, field-serviceable design
- Easy battery swap during shifts
How the Platform Helps
- Wearable form factor keeps hands free
- Low-latency DisplayPort for AR glasses or HMDs
- Hot-swap batteries for continuous shift operation
- Industrial-grade M12 battery ecosystem
Research & Rapid Prototyping
Skip the custom hardware phase and go straight to software iteration.
Prototype next-generation wearable and spatial computing systems without building custom hardware from scratch. Iterate on software while the platform handles compute and power.
Typical Requirements
- Flexible I/O for sensor integration
- Quick iteration cycles
- Access to GPIO, I2C, SPI, UART
- Standard development toolchains
How the Platform Helps
- 40-pin GPIO header (Jetson devkit compatible)
- Production-grade boards reduce time-to-prototype and eliminate redesign before deployment
- Full JetPack SDK and L4T support
- NVMe storage for large datasets and models
Choosing a Board
CB301
Optimized for Android-based XR workflows on Jetson TX2 NX. Best for teams building wearable XR systems that require native Android and direct display output.
CB302
Designed for Orin-class performance, battery-powered AI, and deployment-focused systems. Best for robotics, field compute, and high-performance edge AI.