Computer Vision, Machine Vision and Analytics
As a scientific discipline, computer vision is concerned with the theory and technology for building artificial systems that obtain information from images or multi-dimensional data. A significant part of artificial intelligence deals with planning or deliberation for system which can perform mechanical actions such as moving a robot through some environment. This type of processing typically needs input data provided by a computer vision system, acting as a vision sensor and providing high-level information about the environment and the robot. Other parts which sometimes are described as belonging to artificial intelligence and which are used in relation to computer vision is pattern recognition and learning techniques. Computer vision is concerned with the automatic extraction, analysis and understanding of useful information from a single image or a sequence of images. It involves the development of a theoretical and algorithmic basis to achieve automatic visual understanding.
Related Conference of Computer Vision, Machine Vision and Analytics
14th Global Summit on Artificial Intelligence and Neural Networks
12th International Conference and Exhibition on Mechanical & Aerospace Engineering
Computer Vision, Machine Vision and Analytics Conference Speakers
Recommended Sessions
- Internet of Things
- Advanced computer applications
- Aerial Robotics and UAV
- Artificial Intelligence
- Augmented Reality and Virtual Reality
- Autonomous Vehicles
- Big Data analysis and Data mining
- Computer Vision, Machine Vision and Analytics
- Cyber Security
- Deep Learning
- Human-Robot Interaction
- Industrial Robot Automation
- Intelligent Agents and Multi-agent Systems
- Intelligent Transportation Systems
- Mapping and Localization, Map for Autonomous Vehicles
- Medical Robotics
- Multi-modal sensing (Radar, Lidar, Imager, etc)
- Role of robotics in Prosthetics and orthotics
- Technology Trends
- Types of Robots and its applications
Related Journals
Are you interested in
- Advancements in Predictive Analytics - ARTIFICIAL INTELLIGENCE MEET 2026 (Singapore)
- AI Ethics - ARTIFICIAL INTELLIGENCE MEET 2026 (Singapore)
- AI for Cybersecurity - ARTIFICIAL INTELLIGENCE MEET 2026 (Singapore)
- AI in Healthcare - ARTIFICIAL INTELLIGENCE MEET 2026 (Singapore)
- AI-Driven Sustainability & Climate Intelligence - ARTIFICIAL INTELLIGENCE MEET 2026 (Singapore)
- Ambient Intelligence - ARTIFICIAL INTELLIGENCE MEET 2026 (Singapore)
- Artificial Intelligence in Gaming - ARTIFICIAL INTELLIGENCE MEET 2026 (Singapore)
- Artificial Intelligence in Music - ARTIFICIAL INTELLIGENCE MEET 2026 (Singapore)
- Artificial Neural Networks - ARTIFICIAL INTELLIGENCE MEET 2026 (Singapore)
- Bioinformatics - ARTIFICIAL INTELLIGENCE MEET 2026 (Singapore)
- Biometrics - ARTIFICIAL INTELLIGENCE MEET 2026 (Singapore)
- Cloud Computing - ARTIFICIAL INTELLIGENCE MEET 2026 (Singapore)
- Convolutional Neural Network Model - ARTIFICIAL INTELLIGENCE MEET 2026 (Singapore)
- Deep Learning - ARTIFICIAL INTELLIGENCE MEET 2026 (Singapore)
- Digital Avatars - ARTIFICIAL INTELLIGENCE MEET 2026 (Singapore)
- Human-Centered AI & Cognitive Computing - ARTIFICIAL INTELLIGENCE MEET 2026 (Singapore)
- Machine Learning - ARTIFICIAL INTELLIGENCE MEET 2026 (Singapore)
- Natural Language Processing - ARTIFICIAL INTELLIGENCE MEET 2026 (Singapore)
- Robotics and Mechatronics - ARTIFICIAL INTELLIGENCE MEET 2026 (Singapore)
- Self-Organizing Neural Networks - ARTIFICIAL INTELLIGENCE MEET 2026 (Singapore)
- The Next Generation of Artificial Intelligence - ARTIFICIAL INTELLIGENCE MEET 2026 (Singapore)
- Web-based Training Environment - ARTIFICIAL INTELLIGENCE MEET 2026 (Singapore)
