Key Technologies
Edge Computing and AI Deep Learning
Core Technology Stack
π§ AI & Deep Learning
The core of the system, enabling intelligent recognition and decision-making.
- β’ 3D Vision for precise corner casting positioning (tolerance β€ 0.4mm).
- β’ 2D Vision for accurate twist-lock type recognition (accuracy β₯ 99.7%).
- β’ Deep learning models trained on millions of samples for high adaptability.
π€Robotics & Automation
High-precision robotic arms and grippers for automated physical operations.
- β’ Six-axis robotic arm for flexible movement and precise positioning.
- β’ Self-adaptive gripper (V2.5) covering over 95% of twist-lock types.
- β’ Automated inventory management for twist-lock storage.
π»Edge & Cloud Computing
A hybrid architecture that balances real-time performance with powerful data processing.
- β’ Edge computing for low-latency tasks like license plate recognition and vision processing.
- β’ Cloud platform for data aggregation, model training, and remote monitoring.
- β’ Seamless data synchronization between edge and cloud.
Key Performance Metrics
99.9%
Operation Success Rate
<30s
Average Cycle Time
7*24
Continuous Operation
100%
Operation Safety
Technical Advantages
- βFull-process automation reduces manual labor and safety risks.
- βHigh efficiency and accuracy significantly improve terminal operational capabilities.
- βModular design and flexible layout adapt to various terminal environments.
- βIntelligent system with self-learning and optimization capabilities.
- βRobust all-weather operation, 24/7 availability.