1) Working power supply: AC 220V±10%, 50Hz.
2) Robot power supply: DC 12V, 5A, working radius: 280mm.
3) Working environment: temperature 5℃－+40℃, relative humidity <85% (25℃).
4) Equipment size: 1500mm*700mm*1465mm (length × width × height).
IOT & AI Training System
1) Working power supply: AC 220V±10%, 50Hz.
2) Robot power supply: DC 12V, 5A, working radius: 280mm.
3) Working environment: temperature 5℃－+40℃, relative humidity <85% (25℃).
4) Equipment size: 1500mm*700mm*1465mm (length × width × height).
Details introduction
Overview
DLAI- 535 AI Artificial Intelligence Training Platform consists of AI workstation, visual application unit, intelligent robot unit, AI terminal device and intelligent interaction unit; it uses intelligent interaction terminal software to realize comprehensive application in various scenarios. The Artificial Intelligence lab teaching workbench uses Anaconda + Python 3.11 to build the AI environment and uses the mature PyTorch framework to create basic algorithm modules, including ChatALM3-6B AI large model, Whisper speech recognition large model and yolov5 target detection model，the TVET training equipment suits for different level of vocational schools, universities, vocation institution, Technical Colleges, Polytechnics use.
Equipment Features
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.
Training projects
- 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
Get In Touch
E-mail:
admin@didactic.cnWhatsApp:
+8613615315720Tel:
+86 531 8758 6199