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Hybrid Event

23rd - 24th November 2026 | Macau, China

International Conference on Computer Vision and Image Analytics in Engineering (ICCVIAE - 26)

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4

Days

4

Hrs

07

Min

02

Sec

Call For Paper

The (ICCVIAE) is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.

With a strong focus on Image Processing, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Deep learning for image analysis
02
Computer vision applications in engineering
03
Image segmentation techniques in engineering
04
Real-time image processing algorithms
05
3D reconstruction from images
06
Object detection in engineering contexts
07
Image enhancement methods for engineering
08
Automated image classification techniques
09
Visual data analytics in engineering
10
Machine learning for image recognition
11
Multimodal image processing approaches
12
Image-based quality assessment methods
13
Augmented reality in engineering applications
14
Image processing for structural analysis
15
Vision systems for autonomous machines
16
Image data fusion techniques
17
Neural networks for image processing
18
Feature extraction in engineering images
19
Image processing for predictive maintenance
20
Applications of image analytics in safety

Peer Review Process

All submissions evaluated through structured peer-review to ensure academic rigor. Accepted papers may be considered for high-quality journals.

Registration Details

Secure your participation early. Limited slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions prioritized for publication in recognized journals and proceedings.

Submit Your Paper Today Register Early
2026 UPDATE

Consistent Academic Support

Science Net ensures that research activities continue without interruption in the current global situation. Participants can engage through digital and hybrid conference formats.