Smart Monitoring Training Lab
Introduction
This training lab aims to build a series of AI intelligent products around the digital intelligence of education process.
Applicable Majors: Artificial Intelligence/Intelligent Science and Technology/Computer related majors
Course Products: professional core courses and professional extension courses in image processing, computer vision, deep learning
Project Products: multiple practical training projects centering on computer vision, data mining and analysis, deep learning and other technologies with the background of campus smart monitoring industry
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.
This training lab aims to build a series of AI intelligent products around the digital intelligence of education process.
Applicable Majors: Artificial Intelligence/Intelligent Science and Technology/Computer related majors
Course Products: professional core courses and professional extension courses in image processing, computer vision, deep learning
Project Products: multiple practical training projects centering on computer vision, data mining and analysis, deep learning and other technologies with the background of campus smart monitoring industry
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.