Dragonwing RB3 Gen 2 Vision Kit
About
About Dragonwing RB3 Gen 2 Vision Kit
The RB3 Gen 2 Vision Kit is built around Qualcomm’s QCS6490 processor and adds camera hardware to the core development platform. CPU, GPU, DSP and AI acceleration support concurrent vision and machine-learning workloads at the edge, while the included imaging interfaces and cameras let developers prototype perception without designing a custom carrier board first.
Linux software, Qualcomm AI Hub and development tools support model conversion, optimisation and deployment, with additional integration available through Edge Impulse, Foundries.io and a Visual Studio Code extension. Teams can build smart cameras, industrial inspection systems and robot perception prototypes on the kit, validate performance and then migrate the QCS6490-based design into production hardware.
Supply
Supply / Components
- Dragonwing RB3 Gen 2 Vision Kit
Tdk Invensense Icm 42688 Imu - sensors - TDK-InvenSense - Qualcomm specifies a TDK-InvenSense ICM-42688 IMU in the Dragonwing RB3 Gen 2 Vision Kit - source: qualcomm.com
Source - Dragonwing RB3 Gen 2 Vision Kit
Tdk Invensense Icp 10111 Pressure Sensor - sensors - TDK-InvenSense - Qualcomm specifies a TDK-InvenSense ICP-10111 pressure sensor in the Dragonwing RB3 Gen 2 Vision Kit - source: qualcomm.com
Source
Context
Market context
Edge-AI vision development kit for robotics, camera fusion and on-device model deployment.
- Target environment: AMRs, UAVs, AI vision systems, industrial automation and smart-security prototypes
- Workflow context: On-device inference, multi-camera development, sensor fusion and robotics/AI vision prototyping
- Customer context: Teams evaluating Qualcomm edge AI hardware with camera, wireless and software support already packaged.
- Deployment model: Developer vision kit sold as evaluation hardware for camera, sensor-fusion, and edge-AI prototyping rather than a finished production robot subsystem.
- Commercial maturity: Commercial development kit with public processor, camera, sensor, OS and expansion details.
- Adoption constraints: Fit depends on production SoC path, Linux/Android support needs, thermal design and camera-interface requirements.
- Market position: Developer kit that bundles Qualcomm edge compute, cameras, and onboard sensors into a faster bring-up path for robotics and AI-vision teams.
- Adjacent products: AMD KR260, ModalAI VOXL 2, ADLINK ROScube-X2, NVIDIA Jetson-based robot compute
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