Smart Monitoring Training Lab
Introduction
The training lab aims to create a series of AI intelligent products around the education process, including the class attendance statistics project, the flow statistics project, the online exam intelligent invigilation project and the online classroom intelligent supervision project.
Applicable Majors: Artificial Intelligence/Intelligent Science and Technology/Computer related majors
Course Products: Pattern recognition, Introduction to Artificial Intelligence, digital image processing, computer vision, deep learning, computer vision application, deep learning application development
Project Products: Offline class attendance statistics system, classroom flow statistics system, online exam intelligent invigilation, online classroom intelligent supervision
Application Scenarios: professional teaching, comprehensive practical training, competition training
• Strengthen the advanced five-level experimental project design, from simple to deep, from easy to difficult, and fully respect the law of students' learning and growth, so that students may gradually achieve their goals.
Derived from real industry projects
• Give full play to the advantages of Neusoft industry, data from Neusoft Education Group private data, independent development of industrial cases, to provide a wealth of courses and enterprise projects.
Reverse design and goal-oriented
• Taking the goal of application-oriented talent training as the starting point, reversely design experiment content, methods and tools to empower targeted training.
Following the "Five New" principle
• AI intelligent products focusing on the digital intelligence of the education process, adopt cutting-edge algorithms such as pedestrian re-recognition, pedestrian detection and target tracking in computer vision.
• Integrate new theories, new technologies, new tools, new products, new applications into the project and project supporting resources.
The training lab aims to create a series of AI intelligent products around the education process, including the class attendance statistics project, the flow statistics project, the online exam intelligent invigilation project and the online classroom intelligent supervision project.
Applicable Majors: Artificial Intelligence/Intelligent Science and Technology/Computer related majors
Course Products: Pattern recognition, Introduction to Artificial Intelligence, digital image processing, computer vision, deep learning, computer vision application, deep learning application development
Project Products: Offline class attendance statistics system, classroom flow statistics system, online exam intelligent invigilation, online classroom intelligent supervision
Application Scenarios: professional teaching, comprehensive practical training, competition training
Features
Advanced project system design• Strengthen the advanced five-level experimental project design, from simple to deep, from easy to difficult, and fully respect the law of students' learning and growth, so that students may gradually achieve their goals.
Derived from real industry projects
• Give full play to the advantages of Neusoft industry, data from Neusoft Education Group private data, independent development of industrial cases, to provide a wealth of courses and enterprise projects.
Reverse design and goal-oriented
• Taking the goal of application-oriented talent training as the starting point, reversely design experiment content, methods and tools to empower targeted training.
Following the "Five New" principle
• AI intelligent products focusing on the digital intelligence of the education process, adopt cutting-edge algorithms such as pedestrian re-recognition, pedestrian detection and target tracking in computer vision.
• Integrate new theories, new technologies, new tools, new products, new applications into the project and project supporting resources.
