DLAI-323 AI Fusion Innovation Application Training Platform
The AI training platform is composed of high-performance computer, mobile terminal development platform, machine vision detection module, Harbot collaborative robot module, AGV, application scene simulation module and other systems. The software platform is based on Windows (Linux Ubuntu 18.04 is optional). Python, YOLOv5, OpenCV, PyTorch, TensorFlow and other modules are pre-installed.
1.Overview
The DLAI-323 AI fusion innovation application platform selects the core key technologies of artificial intelligence such as speech recognition, visual recognition, and face recognition. Combined with the actual situation, artificial intelligence technology is applied to the centralized dispensing scene in the medical industry and the smart retail and unmanned retail scene in the retail industry. It empowers artificial intelligence technology in traditional industries and achieves efficiency improvements.
In addition to the artificial intelligence fusion innovation application scenarios mentioned above, the DLAI-323 AI training system can also complete teaching and training tasks such as palletizing and material sorting through collaborative robots. The platform has various control and computing platforms such as PC, PLC, Raspberry Pi, and Jetson Nano.
2. Main Configuration List
| NO. | MODULAR | SPECIFICATION | QTY |
|---|---|---|---|
| 1 | AI Workstation | Dolang DLAI-323 Artificial Intelligence Workstation Processor Intel Core I5-10600KF Memory 16G Graphics card Nvidia RTX2060 Hard Disk 256G SSD + 1T HDD PyTorch 1.7.1 Python3.7 OpenCV 4.5.3 CUDA 10.1 YOLOv5s Offline face recognition SDK (including authorization code) | 2 set |
| 2 | Raspberry Pi | Raspberry Pi 4B | 1 set |
| 3 | NVIDIA Development Board | Jetson Nano Developer Kit | 1 set |
| 4 | Intelligent integrated terminal | Dolang DLAI-323 Intelligent Integrated Terminal 11.6 inches/ 6G+128G/ quad core RFID read and write function Barcode scanning function Face recognition function Speech recognition synthesis function | 1 set |
| 5 | Cobot | HA-Pro3 | 1 set |
| 6 | AGV | DLRB-342910 | 1 set |
| 7 | electric gripper | Dahuan PGE-50 Protocol standard Modbus RTU (RS485) | 1 set |
| 8 | 3D depth camera | Intel RealSense D415 | 1 Pcs |
| 9 | Smart Vision Camera | MV-SI628-38GM/GC | 1 Pcs |
| 10 | RFID reader | DLRF-7075A | 2 Pcs |
| 11 | Electronic control and communication system | Dolang DLAI-323 electric control and communication system | 2 Sets |
| 12 | Pneumatic system | Dolang DLAI-323 Pneumatic System | 2 Sets |
| 13 | Centralized dispensing mechanism unit | Dolang DLAI-323 centralized dispensing unit | 2 Sets |
| 14 | storage buffer unit | Dolang DLAI-323 storage buffer unit | 2 Sets |
3. Training Contents
(1) Familiar with the Python language and master the basic technology of programming
(2) Master the basic theory and technology of artificial intelligence technology
(3) Master the basic knowledge of algorithms related to deep learning and the use of mainstream software and hardware platforms
(4) Master the basic operations of data collection, data processing, feature extraction, and model training
(5) Computer vision detection technology
(6) Collaborative robot technology
(7) PLC technology
