DEPARTMENT OF MECHANICAL ENGINEERING

Machine vision Machine vision integrates cameras, sensors, and AI algorithms to enable machines to "see" and interpret visual data, transforming mechanical engineering practices in manufacturing and automation. This technology enhances precision in quality control, robotics, and design processes, making it essential for modern mechanical engineers and polytechnic curricula. ​ Core Concepts Machine vision systems capture images using high-resolution cameras like CCD or CMOS, then process them via software for analysis. Key steps include image acquisition, preprocessing (e.g., noise reduction), feature extraction, and decision-making using AI like deep learning. In mechanical engineering, this replicates human inspection but at higher speeds and accuracy, supporting tasks from defect detection to robotic guidance. ​ Key Applications Machine vision guides robots in assembly by locating parts and verifying orientations, crucial for automotive welding and electronics PCB inspectio...

International Organization for Standardization (ISO)   ISO standards give mechanical engineers a common, internationally accepted way to design, manufacture, and manage quality, safety, and environment in engineering systems. The following blog-style content is suitable for diploma/UG students. ​ Introduction to ISO for Mechanical Engineers In modern industries, customers expect machines and components to be safe, reliable, and consistent, whether they are made in India, Germany, or Japan. ISO standards make this possible by providing globally agreed rules for how organizations should manage quality, environment, safety, and many engineering processes. ​ What Is ISO? ISO stands for the International Organization for Standardization, an independent body that develops international standards for products, services, and systems. ​ An ISO standard is essentially an agreed “best way of doing something”, documented as a reference that companies and engineers can follow. ​ Why ISO Matters...