Computer Vision is a field within AI that enables computers to interpret and understand visual data such as images and video. Common applications include facial recognition, industrial quality control, autonomous vehicles, and medical image analysis.

Machine Learning is a branch of AI where computers learn from data to make decisions or predictions without being explicitly programmed. It’s used in everything from recommendation systems to image recognition and predictive analytics.

Image analysis is a technology that enables computers to interpret and analyze visual content such as images and video. It’s used to detect patterns, identify objects, or analyze anomalies—often powered by AI and machine learning.

Automated image classification means training computers to recognize and categorize images based on their content—without manual input. The technology enables fast and consistent identification of objects, defects, or patterns in large volumes of visual data.

Real-time data is information that is collected, processed, and made available instantly as it is generated. It enables fast decision-making, monitoring, and automation across areas like manufacturing, logistics, healthcare, and finance.

Production integration means connecting digital systems directly with manufacturing processes to automate, control, and monitor production in real time. It enables more efficient workflows, better traceability, and data-driven decision-making.

AI-powered decision support uses artificial intelligence to analyze data and provide recommendations that help people make better and faster decisions. It’s applied across areas like manufacturing, logistics, finance, and customer service.