MV-IES 2027 invites the submission of original research papers on machine vision for industry and energy systems, covering theoretical, experimental, and applied perspectives, for publication in the conference proceedings. To ensure high standards and quality, each submission undergoes anonymous peer review by an average of three independent reviewers. Accepted papers will be presented as either oral presentations or posters at the conference. Topics of interest include (but are not limited to) the following areas:
Track 1: Advanced Imaging Technology
- Hyperspectral Imaging
- Infrared Thermography
- 3D Structured Light
- Computational Imaging
- Polarization Imaging
- Optical Coherence Tomography
Track 2: Machine Vision Algorithms
- Defect Detection
- Object Recognition
- Image Fusion
- Visual SLAM
- Edge Vision
- Visual Servoing
Track 3: Industrial Visual Inspection
- Product Defect Detection
- Vision-guided Assembly
- Industrial Robots
- Surface Quality Inspection
- Dimensional Measurement
- Industrial Inspection
Track 4: Energy System Monitoring
- Power Equipment Diagnosis
- Photovoltaic Module Inspection
- Wind Turbine Blade Inspection
- Energy Storage Battery Monitoring
- Oil and Gas Pipeline Inspection
- Energy Equipment Inspection
Track 5: Multimodal Sensing Fusion
- Fiber Optic Sensing
- Infrared Sensing
- Visual Sensing
- Distributed Temperature Sensing
- Spectral Analysis
- Industrial IoT
Track 6: Visual Digital Twins
- Digital Twin Modeling
- Visual 3D Reconstruction
- AR-assisted Maintenance
- Visual Simulation
- Virtual-Physical Interaction
- Intelligent O&M