
Terminal sensing layer
Camera, ultrasonic radar, GPS, G-sensor, CAN protocol
Edge computing layer
Local AI-based video frame extraction, anomaly event filtering, network outage data resumption, and low-power sentry mode.
Cloud platform layer
Real-time vehicle status, time-series database, cloud video storage, rule engine, multi-tenant access control, OTA management
Application ecosystem layer
Standardized APIs/SDKs, third-party service integration (insurance/rescue/content), data sandbox
Aggregates heterogeneous data—such as vehicle location, photos, video, operating status, and alarms—
provides standardized data dictionaries and cleaning rules,
and supports data integration across brands and vehicle models.
Provide RESTful API, WebSocket implementation
Shiliu, Android/iOS SDK, support
Quickly integrate into customer-owned APP and SaaS
Fleet system or third-party applet.
Leveraging a rule engine and lightweight AI models,
it enables automated "event-triggered service coordination"
(e.g., collision alert → automatic call for rescue → push
repair center details → generation of insurance claim report).
Supports in-vehicle applications, AI models, and mobile phones.
Ensuring App Canary Releases and Rollbacks
Continuous functional evolution and compliance upgrades.
UBI driving behavior scoring, accident liability determination, and risk heatmaps.

Automatically notifies emergency contacts or rescue services following accidents such as collisions or rollovers.

Social connectivity, route book generation, intelligent recommendations, and short video synthesis.

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.
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.
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.
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.
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.
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.
Functions: Vehicle anti-theft, accident recording, etc.
Technologies: Cameras, sensors, AI algorithms.
Application scenarios: Long-haul transport, hazardous materials transport, special vehicle management, etc.
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.
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.
Function: Tire pressure monitoring.
Technology: Tire pressure sensors, mobile app.
Use cases: Daily riding, long-distance touring, racing, etc.
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.
Functions: Collision warning, lane-change alert.
Technologies: Sensors, cameras, AI algorithms.
Application scenarios: Urban roads, mountain roads, complex traffic conditions, etc.