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INDUSTRY SOLUTIONS

Industry Solutions

End-to-end solutions spanning computing platforms and software integration for diverse intelligent applications.

By combining edge-computing platforms, foundational software, and AI model deployment, we deliver validated, production-ready solutions for industry-specific scenarios.

AI Industrial Inspection

01 · INDUSTRIAL INTELLIGENCE

AI Industrial Inspection
This solution builds a production-line edge visual-inspection system on the D-Robotics chip platform. Station cameras capture images of materials and parts, and the on-chip AI runs locally to identify quality issues such as scratches, missing material, and dimensional deviation in real time. Inspection results are recorded and uploaded to the quality-management platform for online inspection and data traceability. The lightweight, low-power design supports rapid deployment on single or multiple production-line stations.
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Two-Wheeler Rider Assistance

02 · INTELLIGENT MOBILITY

Two-Wheeler Rider Assistance
Enable environmental perception, risk alerts, and intelligent interaction for electric two-wheelers and motorcycles within tight power and packaging limits.
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Embodied Companion Robot

03 · EMBODIED INTELLIGENCE

Embodied Companion Robot
This solution adopts an innovative split modular architecture built on edge-cloud AI and whole-home laser SLAM navigation to enable autonomous movement throughout indoor spaces. The intelligent mobile chassis uses a D-Robotics chip as its core computing platform for motion and navigation. The system comprises three hardware units: an emotional interaction unit, an intelligent mobile chassis, and a portable expansion module. These units can be flexibly recombined to meet the needs of different scenarios.
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RoboVan Autonomous Vehicle

04 · AUTONOMOUS LOGISTICS

RoboVan Autonomous Vehicle
Support perception computing, software integration, and vehicle validation for autonomous transport across campuses, communities, and controlled roads.
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From application needs to deployment

Align each phase with real devices, data, and acceptance criteria, with clear inputs and deliverables.

  1. 01

    Define the scope

    Align on applications, existing platforms, interface constraints, and target metrics.

  2. 02

    Design and validate

    Design the platform and software approach, then validate key assumptions with prototypes and sample data.

  3. 03

    Develop and integrate

    Adapt drivers, deploy models, and integrate systems while tracking performance and resolving issues.

  4. 04

    Verify and deliver

    Validate agreed scenarios and metrics, hand over documentation, and define ongoing support.

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