MV-IES 2027, the 2027 International Conference on Machine Vision for Industry and Energy Systems, will be held in Chengdu, China, from April 23 to 25, 2027 At the intersection of machine vision, industrial intelligence, and energy systems, the conference provides a high-level international forum for scholars, researchers, and engineers worldwide.
The program is organized around six tracks: Advanced Imaging Technology; Machine Vision Algorithms; Industrial Visual Inspection; Energy System Monitoring; Multimodal Sensing Fusion; and Visual Digital Twins. Spanning from fundamental theory to practical deployment, the conference covers topics such as hyperspectral imaging, defect detection, visual SLAM, photovoltaic module inspection, industrial IoT, visual 3D reconstruction, and other emerging areas.
The event will feature keynote speeches by distinguished international scholars, parallel thematic sessions, oral presentations, and poster displays. It offers a dynamic setting for sharing recent findings, exchanging innovative ideas, and building new collaborations. Participants from academia, research institutes, and industry are welcome to join this interdisciplinary event and help advance machine vision for industry and energy systems. Chengdu looks forward to welcoming you.
All full paper submissions of MV-IES 2027 will also be peer reviewed and evaluated based on originality,
technical and/or research content/depth, correctness, relevance to conference, contributions, and
readability. The full paper submissions will be chosen based on
technical merit, interest, applicability, and how well they fit a coherent and balanced technical
program.
Submitted papers will be strictly reviewed by the technical program committee. The accepted and registered papers can be published in the MV-IES 2027 Conference Proceedings and be sent to be indexed by Ei Compendex and Scopus. The authors of the papers will be invited to participate in the MV-IES to display their research results.
Authors are invited to submit papers using the online submission link or by email at mvies_conf@163.com .
Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. Authors are required to use the following Proceedings Paper Template when preparing your full paper.
MSWord Template (.doc)
Fast registration channel is open for delegates who'd like to attend the conference and join all the technical programs without presentation of your papers.