Internet of Vehicles (IoV) ecosystem services
Built upon a foundation of "edge sensing + data intelligence," an integrated IoV (Internet of Vehicles) ecosystem—comprising in-vehicle terminals, a cloud platform, and mobile applications—is established to enhance the driving experience, improve safety, and optimize operational efficiency.

Solution Architecture

Core ecosystem service capacity

Ecosystem Collaboration and Business Value

Passenger Vehicle Solutions

  • Real-time Location and Trip History

    Features: Real-time positioning, trip statistics, and smooth route playback.
    Technologies: GPS positioning, map data.
    Use cases: Urban commuting, long-distance travel, emergency rescue, etc.

  • Remote photography

    Functions: Remote image capture; 360° panoramic stitching on the mobile device.
    Technologies: 4G/5G networks, MQTT communication, panoramic stitching.
    Use cases: Manual image capture; image capture upon engine shutdown.

  • Remote Video

    Features: Low-latency stream pulling, synchronized local recording, and adaptive image quality for poor network conditions.
    Technologies: 4G/5G networks, MQTT communication, video encoding/decoding, and peer-to-peer communication.
    Use Cases: Real-time remote video, video on demand (VOD), and video downloading.

  • Cloud Sentry Surveillance

    Functions: Continuous monitoring after engine shutdown; AI-based detection of proximity, collisions, and vibrations; tiered alert notifications.
    Technologies: G-sensor, camera, radar, AI algorithms.
    Application Scenario: Parking surveillance.

Real-time Location and Trip History

Commercial Vehicle Solutions

  • Fleet Management

    Functions: Vehicle positioning, route tracking, driver behavior analysis, etc.
    Technologies: GPS, sensors, big data analysis, cloud computing.
    Application Scenarios: Logistics and transportation, public bus operations, taxi fleet management, etc.

  • Maintenance Management

    Functions: Vehicle health monitoring, fault early warning, scheduled maintenance reminders, etc.
    Technologies: Sensors, big data analysis, AI algorithms.
    Application Scenarios: Fleet maintenance, vehicle leasing, corporate fleet management, etc.

  • Security Monitoring

    Functions: Vehicle anti-theft, accident recording, etc.
    Technologies: Cameras, sensors, AI algorithms.
    Application scenarios: Long-haul transport, hazardous materials transport, special vehicle management, etc.

Fleet Management

Motorcycle Solution

  • Intelligent Navigation and Route Planning

    Features: Motorcycle-specific navigation, route planning, recommended riding routes, etc.
    Technologies: GPS, map data, AI algorithms.
    Use Cases: Urban commuting, long-distance riding, adventure touring, etc.

  • Remote Video

    Features: Low-latency stream pulling, synchronized local recording, and adaptive image quality for poor network conditions.
    Technologies: 4G/5G networks, MQTT communication, video encoding/decoding, and peer-to-peer communication.
    Use Cases: Real-time remote video, video on demand (VOD), and video downloading.

  • Vehicle Condition Monitoring

    Function: Tire pressure monitoring.
    Technology: Tire pressure sensors, mobile app.
    Use cases: Daily riding, long-distance touring, racing, etc.

  • Safety assistance system

    Features: Motorcycle-specific navigation, route planning, recommended riding routes, etc.
    Technologies: GPS, map data, AI algorithms.
    Use Cases: Urban commuting, long-distance riding, adventure touring, etc.

  • 社交互动

    Functions: Collision warning, lane-change alert.
    Technologies: Sensors, cameras, AI algorithms.
    Application scenarios: Urban roads, mountain roads, complex traffic conditions, etc.

Intelligent Navigation and Route Planning

Forging ahead together on a new journey of intelligent driving.

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