About IMVC

IMVC – Israel Machine Vision Conference – was established in 2010 as the meeting place for the Israeli machine Vision community. The image processing, computer vision, machine learning and AI  communities in Israel are world class leaders in these fields, with large and dynamic presence in both industry and academia. IMVC is a unique opportunity for companies from diverse industrial fields to meet with research groups of academic institutions heading machine vision research in Israel.

This conference will serve as a venue for academic researchers, algorithms experts and engineers, product managers, and system managers from companies in various segments of the industry (autonomous vehicles, medical, military, security, etc.) to gain exposure, exchange ideas and foster collaboration. The conference will focus mainly on the innovative work taking place in the industry today and will serve as a point for cross-fertilization of ideas between academia and industry. In addition to lectures on algorithmic subject, there will also be lectures on software, hardware and technological subjects.

An exhibition will be held in conjunction with the conference, where companies engaged in the field  can display their products, and the public involved in this field will be given the opportunity to view the cutting-edge technologies.

The aim of the conference is to showcase and reveal professional and innovative knowledge that will provide added value to developers in the vision field. It will serve as a base and lever for a dynamic cross-fertilization of ideas and joint ventures between academia and the various industrial companies involved in these diverse technological fields.

Target Audience:

Algorithms developers, data scientists, engineers, designers and developers, programmers, manufacturers, senior executives and decision-makers in the following areas:

  • Researchers and students studying for advanced degrees in the various universities and colleges
  • Algorithm developers, software and hardware engineers
  • Technological leaders, CTOs and CEOs
  • Automotive industries
  • Défense industries
  • Security companies
  • Medical devices companies
  • Printing industry
  • Process-inspection companies
  • Wireless and cellular technologies
  • Gaming
  • Internet Companies     
  • Optics companies
  • Sensor manufacturers
  • Technological divisions in the IDF and MOD
  • Ad Tech
  • Contents Engines


The lectures can include the topics listed below, but are not limited to them:

  • Computer Vision
  • Deep Learning
  • Artificial Intelligence (AI)
  • Deep Vision
  • AutoML/ MLOP
  • Data Augmentation
  • Data Fusion
  • Vision in Autonomous Systems
  • Medical Imaging
  • Augmented Reality (AR)/Virtual Reality (VR)
  • Pattern Recognition
  • Computational Photography
  • Robotics Vision
  • Embedded Vision
  • Image Formation, Optics and Sensors
  • Metrology
  • Mathematical Foundation of DL
  • Perception
  • Multi channels: visual + radar + lidar
  • Small Neural Networks
  • Anomaly Detection
  • Points Cloud
  • MLOps
  • NLP & Vision
  • Graph NN
  • Generative AI
  • Generative AI & ART  
  • Data Poisoning
  • Stable Diffusion
  • Self supervised
  • Federated Models
  • Domain adaptation
  • XAI
  • History of Computer Vision
  • 3D Reconstruction, Pose estimation, Depth estimation
  • Training temporal NN
  • Customized Generative Models