Product Features

• B/S Architecture Design

A web-based one-stop AI development platform. No complex local software installation is required; users can access the platform through a web browser for flexible learning and development.

• Full-Process AI Training Environment

Integrates data collection, data annotation, algorithm training, model deployment, and scenario-based applications, covering the complete AI workflow from data to system implementation.

• Built-In Training Resources

Includes 100+ machine learning algorithm libraries, mainstream deep learning frameworks, and more than 5 TB of experimental datasets for ready-to-use teaching and practice.

• Visual Low-Code Operation

Provides an intuitive interface with training process visualization, one-click API deployment, and drag-and-drop workflow design to reduce the learning and operation barrier.

• Cloud Computing Support

Provides cloud GPU computing resources to support teaching practice, skills competitions, and concurrent multi-user training.

• Complete Teaching Resources

Includes PPT courseware, teaching videos, experiment code, question banks, and assessment systems for classroom teaching, online training, and skills certification scenarios.

• Multi-Scenario Industry Applications

Supports AI data training, intelligent power inspection, edge computing, machine vision, smart agriculture, intelligent retail, and other practical training and development scenarios.

Technical Specifications

Software Environment

Category	Name / Version Requirement
System Support	Windows / Linux / browser-based cross-platform access
Deep Learning Frameworks	TensorFlow, PyTorch, PaddlePaddle, Keras, Caffe
Development Languages	Python 3.6+, Java, C++, R
Core Tool Libraries	OpenCV, PyQt5, NumPy, Pandas, YOLOv5
Built-In SDKs	Face recognition, license plate recognition, object detection, semantic segmentation, defect detection

Recommended Hardware Configuration

Equipment	Specification
Processor	Intel Core i7 or above
Memory	16 GB or above
Storage	256 GB SSD or above
Graphics Card	NVIDIA RTX series dedicated graphics card
Network	Gigabit Ethernet / high-speed Wi-Fi

Application Scenarios

Education and Teaching Scenarios

• AI professional course teaching
• Laboratory and practical training
• Assignment management
• Online assessment
• Skills certification

Skills Competition Scenarios

• AI trainer competitions
• Edge computing competitions
• Power inspection competitions
• AI application development competitions and related training support

Enterprise Training Scenarios

• Pre-job training for AI-related positions
• Skills upgrading
• Enterprise internal training
• engineer skills assessment

Industrial Application Scenarios

• Machine vision inspection
• Intelligent equipment operation and maintenance
• Edge computing development
• Human-machine collaborative annotation
• Hardware linkage development

Research and Innovation Scenarios

• Algorithm verification
• Model optimization
• Dataset construction
• Industry scenario simulation
• New technology experiments

FAQ

Q: Does the platform require a local client installation?

A: No. The platform uses B/S architecture and can be accessed directly through a browser. No local deployment is required, reducing setup and operating costs.

Q: Can beginners get started quickly?

A: Yes. The platform is pre-configured for the full AI workflow and provides visual low-code operation. Training starts from the fundamentals, making it suitable for beginners.

Q: Does the platform support collaboration and team-based training?

A: Yes. The platform supports resource synchronization, team annotation, task assignment, and experimental data sharing, making it suitable for class-based teaching and team training.

Q: Can the platform connect with hardware devices?

A: Yes. The platform supports access and joint debugging with cameras, sensors, edge development boards, quadruped inspection robots, intelligent terminals, and related hardware devices.