(Include but not limited to)
Track 1: Industrial Internet of Things and Intelligent Sensing Technology
Industrial Internet of Things architecture, protocols and system design
5G/6G-enabled industrial Internet of Things communication
Industrial Wireless Sensor Network (IWSN) and Time-Sensitive Network (TSN)
Edge/Fog Computing and Distributed Intelligence
Low-power and Energy Sustainable Internet of Things System
Multimodal Sensors and Data Fusion Technology
Internet of Things Security, Privacy and Trust Mechanisms
Digital Twin and Cyber-Physical System (CPS)
Advanced Internet of Things Network for Industry 5.0
Track 2: Industrial Automation and Control Systems
Industrial Automation Control Systems and Architecture
Programmable Logic Controller (PLC) and SCADA System
Distributed Control System (DCS) and Fieldbus Technology
Motion Control and Servo Drive Technology
Process Control and Optimization Technology
Intelligent Control Theory and Methods (Adaptive, Robust, Predictive Control, etc.)
Application of Deep Learning and Reinforcement Learning in Automation
Cooperative Control of Multi-Agent Systems
Integration of Industrial Robots and Automated Production Lines
Flexible Manufacturing Systems and Intelligent Scheduling
Design and Optimization of Automated Production Lines
Safety and Reliability of Automated Systems
Fault Diagnosis and Predictive Maintenance of Automated Systems
Automated Architecture with Edge Computing and Cloud-Edge Collaboration
Automation System Simulation and Operation Management Driven by Digital Twin
Smart Factory and Industrial 4.0/5.0 Technologies
Automated Instruments and Control Devices
Track 3: Intelligent Inspection
Intelligent Inspection Theory and Methods
Machine Vision and Industrial Image Inspection
Industrial Defect Detection and Intelligent Quality Assessment
Surface Defect Detection and Classification Technology
Three-Dimensional Vision Inspection and Online Measurement
Optical Inspection and Design of Machine Vision System
Multi-Sensor Fusion Industrial Inspection
Robust Detection Methods in Complex Scenarios
Small Sample, Weak Supervision and Self-Supervised Defect Detection
Anomaly Detection and Unsupervised Defect Recognition
Edge Intelligence and Real-time Inspection in Industrial Vision
Calibration and Error Compensation of Vision Inspection System
Application of Deep Learning and Visual Transformer in Inspection
Application of Large Models and Visual Foundation Models in Inspection
......