Machine vision software enables machines to interpret and process visual information from the environment. This software uses cameras, sensors, and algorithms to capture and analyze images or videos, allowing for automated inspection, quality control, and process monitoring. It enhances manufacturing processes by improving quality control and increasing efficiency. It automates inspection and monitoring, reducing the time and labor required for manual checks, which leads to substantial cost savings by minimizing waste and rework. The software is widely used by engineers in electronics, automotive and pharmaceutical industries. The main features of this software includes high accuracy in defect detection, utilizing deep learning to improve accuracy and providing real-time processing for instant decision making.
Gartner defines manufacturing execution systems (MES) as a specialist class of production-oriented software that manages, monitors and synchronizes the execution of real-time physical processes involved in transforming raw materials into intermediate and/or finished goods. These systems coordinate this execution of work orders with production scheduling and enterprise-level systems like ERP and product life cycle management (PLM). MES applications also provide feedback on process performance, and support component and material-level traceability, genealogy and integration with process history, where required.