Hybrid Conferencee

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

31st - 1st January 2027 | Crete, Greece

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Crete. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Crete event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Crete conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Crete, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Crete."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 4
SDG 4 Quality Education
SDG 8
SDG 8 Decent Work and Economic Growth
SDG 9
SDG 9 Industry, Innovation and Infrastructure
Track 01

Advancements in Object Detection Techniques

This track focuses on the latest methodologies in object detection, emphasizing their applications in engineering contexts. Contributions may include novel algorithms, performance evaluations, and case studies demonstrating real-world effectiveness.

Track 02

Feature Extraction and Representation Learning

This session aims to explore innovative approaches to feature extraction and representation learning in image processing. Papers should discuss techniques that enhance the efficiency and accuracy of engineering applications.

Track 03

Machine Learning for Image Analytics

This track invites research on the integration of machine learning techniques with image analytics in engineering. Topics may include supervised and unsupervised learning methods applied to visual data for improved decision-making.

Track 04

Pattern Recognition in Engineering Applications

This session will cover advancements in pattern recognition methodologies relevant to engineering challenges. Submissions should highlight applications that demonstrate the impact of these techniques on industrial processes.

Track 05

Innovations in Image Segmentation

This track seeks contributions that present novel image segmentation techniques tailored for engineering applications. Papers should address challenges in segmentation accuracy and computational efficiency.

Track 06

Visual Computing and Its Engineering Applications

This session focuses on the intersection of visual computing and engineering, exploring how visual data can be leveraged for enhanced analysis and design. Contributions may include theoretical advancements and practical implementations.

Track 07

Automated Inspection Systems in Industry

This track invites research on automated inspection systems utilizing image processing technologies in industrial settings. Papers should discuss system design, implementation, and performance metrics.

Track 08

Industrial Imaging Techniques and Applications

This session will highlight the latest imaging techniques employed in industrial applications, focusing on their effectiveness and efficiency. Contributions should provide insights into practical challenges and solutions.

Track 09

Data Analysis and Visualization in Engineering

This track emphasizes the role of data analysis and visualization techniques in engineering contexts, particularly in relation to image data. Submissions should explore methods that enhance interpretability and usability of visual information.

Track 10

Computer-Aided Design and Image Processing

This session focuses on the integration of image processing techniques within computer-aided design frameworks. Contributions should demonstrate how these techniques improve design workflows and outcomes.

Track 11

Intelligent Systems for Image-Based Engineering

This track invites research on intelligent systems that utilize image processing for engineering applications. Papers should explore the development and deployment of these systems in real-world scenarios, highlighting their benefits and challenges.