Quality (philosophy)

Macroeconomics

Marketing

Quantum mechanics

Scale (ratio)

Process (computing)

Engineering

Philosophy

Industry 4.0

Mistake

Operating system

Economics

Data mining

Computer science

Risk analysis (engineering)

Manufacturing engineering

Business

Physics

Political science

Epistemology

Profitability index

Productivity

Supply chain

Artificial intelligence

Finance

Production (economics)

Sensors International

Machine Vision (MV), like other digital technologies, is a critical component of Industry 4.0. The high volume of data accessible by visual equipment can well quickly detect & flag faulty goods while recognising their defects, thereby allowing rapid and efficient intervention in industry 4.0. The versions of MV are essential for efficient production on a scale with applications in quality assurance, enforcement, and inventory management. The removal of human error simultaneously minimises the probability of a mistake. This paper briefly discusses MV and how it helps Industry 4.0. Various collaborative features and smart technologies of MV for Industry 4.0 are diagrammatically presented. Further, the authors have identified and discussed twenty significant applications of MV for Industry 4.0. In Industry 4.0 and associated digital industry transition, every step in the process, including manufacturing, inventory control of the supply chain, and more, involves a different and innovative approach. One of the aims is to develop MV capable of seeing, communicating, and working with more accuracy better than human beings. Enabling robots to perceive and help people in dynamic systems provides the way for many opportunities. In the smart plant of the future, MV plays a significant role, in which automated production lines will adapt themselves to optimise productivity, performance, and profitability.

Exploring impact and features of machine vision for progressive industry 4.0 culture