Performs 3D modeling for drivers' front face images using infrared cameras and edge- and cloud-based deep learning capabilities to complete facial recognition and liveness detection to accurately identify drivers and quickly return results.
Recognition algorithms can adapt to complex scenarios to achieve accurate recognition.
Individual facial recognition in milliseconds
Checks whether vehicles are parked in the specified areas and report parking violations in real time.
The address library with millions of locations enables detection in milliseconds and real-time alarms.
Easy to Use
Support for arbitrary irregular polygons
Real-Time Route Planning
Uses heuristic graph algorithms for real-time stop estimation and planning and adjusts route planning based on the planned stops to meet requirements of scenarios such as overtime vehicle scheduling, carpooling, and logistics delivery.
High Planning Efficiency
Shorten planning duration from days to minutes.
Increased Seat Occupancy
Increase passenger seat occupancy by over 80%.
Reduce the number of the dispatched vehicles and the driving distance.
Adopts the natural language understanding platform based on deep learning and the knowledge graph to provide precise answers to questions, assistance to sales, recommendations for vehicle maintenance and insurance, and troubleshooting.
Automobile industry knowledge based on an unstructured corpus to deliver precise Q&A
24/7 One-Stop Services
Robots integrated with WeChat, apps, websites, and automobile dealership systems
Natural Language Mining
Automatic mining of synonyms and similar questions
Visualized Background Operation Management
Hot topic clustering, seamless closed-loop transfers to manual processing, and public opinion analysis