DLAI-1221A Artificial Intelligence Comprehensive Training and Assessment System

1. Overview

The DLAI-1221 artificial intelligence comprehensive training and assessment system is a training and assessment platform developed based on the above requirements. The platform consists of a high-performance computer, a mobile terminal development module, a data sampling and testing module, a computer vision detection module, a Habot collaborative robot module, an AMR robot based on QR code navigation, and an application scenario simulation module. The software platform is based on Windows (optional Linux Ubuntu 18.04) with pre-installed modules such as Anaconda, Python, YOLOv5, OpenCV, and PyTorch.

The DLAI-1221A artificial intelligence comprehensive training system simulates the intelligent picking process, uses the computer as the intelligent control center, cooperates with high-definition cameras, collaborative robots and AMR inspection robots. Picked by collaborative robots to complete intelligent picking.

Besides DLAI-1221A, we also developed DLAI-1221B Service Robot Technology Application Platform.

2. Equipment Features

1) Strong system integration: This platform integrates Python programming, YOLOv5 target recognition, OpenCV visual inspection, AMR robots based on QR code navigation, and collaborative robot systems. It integrates multiple deep learning frameworks PyTorch and TensorFlow. It integrates artificial intelligence technologies such as computer vision and natural language processing; it is equipped with a simulation application simulation system, which can truly apply artificial intelligence algorithms, models and applications to actual scenarios.

2) Equipment safety: Equipped with corresponding leakage, overload and short circuit protection devices, which can effectively protect the safety of users.

3. Technical parameters

1. Working power supply: AC220V±10%, 50Hz.

2. Footprint size: (5M x4M overall layout size)

3. Working environment: temperature 5 ℃ - +40 ℃, relative humidity <85% (25 ℃).

4. Safety protection: It has multiple protections for short circuit, overload and emergency stop.

4. Training projects

1) Python programming technology

2) Object recognition using Python and OpenCV

3) The production standards and process of artificial intelligence datasets

4) Deployment and application of PyTorch-based deep learning framework

5) Deployment and application of TensorFlow-based deep learning framework

6) Application of computer vision based on YOLOv5

7) Application of 2D/3D vision

8) PLC programming technology

9) Cooperative robot programming control

10) Programming control of AMR robot based on QR code navigation