A computing or technology service that is provided via the internet as opposed to being hosted on local servers or personal devices is referred to as cloud-based. When utilizing a cloud-based system, data and apps are processed and stored on remote servers that are generally housed in sizable data centers and are managed by a third-party provider. Through the internet, users can access these services and information, usually on a pay-per-use or subscription basis.
Artificial intelligence (AI) and deep learning are revolutionizing machine vision, enabling accurate defect detection, quality control, and process optimization. By leveraging AI algorithms and deep learning models, manufacturers can improve accuracy, increase yield rates, and enhance overall efficiency. Let’s explore the role of AI and deep learning in machine vision and its applications, benefits, and future prospects.
Automated Optical Inspection (AOI) is an automated visual inspection/ computerized process used to inspect, classify and analyze defects of electronic components that may not be visible to the naked eye. It is widely implemented in electronics manufacturing industry to ensure quality and reliability of electronic products. By capturing high-resolution images from various angles and lighting conditions, manufacturers could receive a real time report and correct the detected defects on time by reworking or replacing the faulty components to prevent problems caused in final product.
Machine Vision is a combination of industrial hardware, software algorithms, and specialized cameras or sensors that provides operational guidance to devices in the execution and analytic of their functions based on the capture and processing of images. The extraction of information such as object recognition, motion detection, and image segmentation are useful to various [...]