DLAI-1221B Service Robot Technology Application Platform

As the core driving force of a new round of industrial transformation, artificial intelligence will give birth to new technologies, products, industries, formats and models, thus triggering major changes in the economic structure and achieving an overall improvement in social productivity.

As the core driving force of a new round of industrial transformation, while giving birth to new technologies and new products, artificial intelligence also has a strong enabling effect on traditional industries, which can trigger major changes in the economic structure and achieve an overall leap in social productivity. Artificial intelligence liberates people from boring labor, and more and more simple, repetitive and dangerous tasks are completed by artificial intelligence systems. While reducing manpower input and improving work efficiency, they can also do it faster and more accurately than humans.

At present, artificial intelligence is gradually becoming the first choice for retailers because it replaces humans and improves operational efficiency. Humans are prone to errors, but this technology helps eliminate the inefficient behaviors that humans bring to operations. Automation can easily perform repetitive tasks and has better performance.

The DLAI-1221B artificial intelligence comprehensive training and assessment system is a training and assessment platform developed based on the above needs. The platform takes speech recognition, speech synthesis, intelligent visual recognition, autonomous decision-making and planning as the main lines, and uses collaborative robots and mobile robots as carriers to show the real scenes of the application of artificial intelligence technology in the retail industry.

The platform consists of high-performance computers, mobile development platforms, machine vision detection modules, Hubbot collaborative robot modules, AMR robots based on QR code navigation, application scenario simulation modules and other systems. The software platform is based on Windows (optional Linux Ubuntu 18.04) system with Python, YOLOv5, OpenCV, PyTorch, TensorFlow and other modules pre-installed.

Using this system, students can learn and master the following skills:

1) Familiar with Python language and master basic programming technology: Python is the most suitable programming language for artificial intelligence development. Because it is simple and easy to use, it is one of the most widely used programming languages in the field of artificial intelligence. Through this device, students can understand Python programming language, master Python programming syntax and the application of multiple examples.

2) Master the basic theories and technologies of artificial intelligence technology: including the development history of artificial intelligence, basic concepts, methods and technologies of artificial intelligence, and the main applications of artificial intelligence technology and other basic theories of artificial intelligence.

3) Master the basic knowledge of deep learning algorithms and the use of mainstream software and hardware platforms: including the construction and configuration of artificial intelligence deep learning environments, and the application of various learning frameworks.

4) Master the basic operations of data collection, data processing, feature extraction, and model training: students can fully learn and master the collection, cleaning, and annotation of data sets; use a variety of different deep learning frameworks to train models, and deploy and implement them after training.

5) Computer vision detection technology: OpenCV is a cross-platform computer vision and machine learning software library released under the BSD license (open source), which can run on Linux, Windows, Android, and Mac OS operating systems. It also provides interfaces for languages such as Python, Ruby, and MATLAB, and implements many general algorithms in image processing and computer vision. Through this device, students can become familiar with and master the application of various OpenCV APIs, such as using OpenCV and Python to realize face recognition, general object and scene recognition (recognition of animals, plants, commodities, buildings, and scenery).

Collaborative robot technology: students can get to know real collaborative robots on this device, learn how to use collaborative robots, and practice programming collaborative robot software.