03 / Technical dossier

Key Technologies

Edge Computing and AI Deep Learning

System capability stack

Core Technology Stack

01

AI & Deep Learning

The core of the system, enabling intelligent recognition and decision-making.

AI & Deep Learning
  1. 013D Vision for precise corner casting positioning (tolerance ≤ 0.4mm).
  2. 022D Vision for accurate twist-lock type recognition (accuracy ≥ 99.7%).
  3. 03Deep learning models trained on millions of samples for high adaptability.
02

Robotics & Automation

High-precision robotic arms and grippers for automated physical operations.

Robotics & Automation
  1. 01Six-axis robotic arm for flexible movement and precise positioning.
  2. 02Self-adaptive gripper (V2.5) covering over 95% of twist-lock types.
  3. 03Automated inventory management for twist-lock storage.
03

Edge & Cloud Computing

A hybrid architecture that balances real-time performance with powerful data processing.

Edge & Cloud Computing
  1. 01Edge computing for low-latency tasks like license plate recognition and vision processing.
  2. 02Cloud platform for data aggregation, model training, and remote monitoring.
  3. 03Seamless 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

Engineering value

Technical Advantages

  1. 01Full-process automation reduces manual labor and safety risks.
  2. 02High efficiency and accuracy significantly improve terminal operational capabilities.
  3. 03Modular design and flexible layout adapt to various terminal environments.
  4. 04Intelligent system with self-learning and optimization capabilities.
  5. 05Robust all-weather operation, 24/7 availability.