Dolang - Model DLAI-535 -Artificial Intelligence Fusion Innovation Application Platform

• Working power supply: AC 220V±10%, 50Hz.
• Robot power supply: DC 12V, 5A, working radius: 280mm.
• Working environment: temperature 5℃－+40℃, relative humidity <85% (25℃).
• Equipment size: 1500mm*700mm*1465mm (length × width × height).

The DLAI-535 didactic training workbench demonstrates the powerful potential and wide application of AI technology by carefully integrating 5 application scenarios, 3 core AI technologies and 5 intelligent units. The 5 application scenarios are puzzle (chess), elevator prevention and control, general identification, intelligent sorting and smart home, aiming to provide users with a rich variety of intelligent solutions. The 3 types of technologies - visual inspection technology, natural language processing technology and large model application technology - are the technical support of the platform, providing strong technical guarantee for various application scenarios. The 5 intelligent units, including AI workstation, visual application unit, intelligent robot unit, AI terminal device and intelligent interaction unit, constitute the hardware foundation of the platform, providing the necessary hardware support for various intelligent applications.

• AI technology Python Programming Techniques
• Data Acquisition for AI Datasets
• Data Annotation for AI Datasets
• AI technology Data Cleansing for AI Datasets
• Deployment and application of deep learning framework based on PyTorch
• Model training of artificial intelligence visual recognition model YOLOv5
• Application of computer vision based on PC and YOLOv5
• AI technology ChatALM3-6B AI large model environment deployment and application
• Whisper speech recognition large model environment deployment and application
• Intelligent robot control programming
• Raspberry Pi Programming
• Puzzle (chess) scene application
• Elevator prevention and control scenario application
• AI technology General recognition scene application
• Intelligent sorting scene application
• Smart home scene application

1. AI + Robotics Education

Through seamless integration of natural language processing, machine vision, and motion control, students can interact with physical robots using spoken instructions or visual gestures. The platform turns complex algorithms into tangible actions, enhancing students' ability to understand, design, and train intelligent systems.

No programming prerequisite – Accessible for K-12 and vocational students

Voice-to-action workflow – Natural language commands drive robots

Code visualization – Automatic generation of visual programming logic

2. STEM & STEAM Curriculum Integration

The platform enables educators to deliver engaging, real-world STEM education:

Project-based learning: Students solve real-world problems using AI tools

Multidisciplinary content: Combines physics, computing, automation, and design

Gamified learning: Encourages innovation through competitive, challenge-based modules

3. Vocational & Technical Skills Training

Dolang's system aligns closely with the skill development objectives of technical colleges and TVET institutions:

AI model training and deployment (object recognition, gesture control, etc.)

IoT sensor network setup and real-time data acquisition

Smart factory simulations for Industry 4.0 scenarios

This prepares learners for immediate roles in AI application, industrial automation, and intelligent control systems.

1. Smart Sensing and Real-Time Control

• The AI Fusion Platform includes a multi-modal sensing suite—visual, auditory, and spatial—which mirrors the perception system of real-world autonomous robots and smart IoT devices.
• Real-time environment mapping
• Gesture and posture recognition
• Human-machine co-working simulation
• It provides an ideal base for building intelligent IoT control systems, smart home labs, and sensor-based automation prototypes.

2. IoT Communication Protocols & Cloud Integration

• Students and trainees can experiment with real IoT frameworks:
• WiFi / Bluetooth / ZigBee / MQTT / Modbus communication
• Cloud platform integration for data visualization and analysis
• IoT device registration and management training
• This application empowers learners to build and manage full IoT ecosystems—from edge devices to cloud services.

3. Industrial AI & Smart Manufacturing Simulations

• The system supports training modules that simulate intelligent production lines, enabling learners to understand:
• Machine learning in quality control
• Predictive maintenance using IoT sensors
• Automated decision-making based on AI inference
• Such experiences are critical for upskilling workers and engineers in the evolving smart manufacturing sector.

Feature: Description

• Modular Hardware Structure: Easily customizable with robotic arms, cameras, sensors, conveyors
• AI + Vision Integration: Supports facial recognition, gesture tracking, object detection
• Multi-Language Voice Control: Available in English, Mandarin, and customizable languages
• Visual Programming Interface: Designed for beginners and advanced learners alike
• Cloud & Edge AI Ready: Supports AI model deployment both locally and via cloud