David Lu

The principles of imaging for industrial cameras When a plate with a small hole is placed between the screen and the object, an inverted image of the object is formed on the screen. This phenomenon is called pinhole camera. As you move the middle panel back and forth, the size of the image changes. This […]

Machine vision in manufacturing – an overview Machine vision is a technology that enables machines to visually perceive and interpret the world around them using imaging, sensors, and artificial intelligence algorithms. It allows automated systems to capture, process, and analyze images or video in order to make decisions or perform actions based on visual input.

Machine vision is a technology that acquires and then processes visual data; through rapid imaging and advanced algorithms, it can accurately process visual data such as size, positioning, color, angle, flaws and defects or other parameters in order to perform tasks such as product inspection, sorting, categorizing, motion guidance, feedbacks and more. The basic functions

Machine vision system refers to the process of converting the captured target into image signals and transmitting them to a dedicated image processing system through machine vision products (i.e. image capture devices, which are divided into CMOS and CCD), and converting them into digital signals according to information such as pixel distribution, brightness, and color.

Factory Automation (FA) is everywhere in today’s industry 4.0 world, and semiconductor field is no exception. With the new trend of 2.5D/3D IC packaging and wafer testing while stacked, the technologies and requirements have been pushed to a new extreme. It’s not the traditional methods and equipment wouldn’t cut it. But they require too much

Picking the best lens for wafer testing – things you should know One of the biggest challenges of semiconductor wafer production is the QA. Flaw/defect inspection and testing for wafers usually happens on the micro level. Usually speaking machine vision, or computer vision as sometimes called, are involved in the process as the naked eyes

How does Machine Vision Transform Industrial Automation? Machine vision has been around for a long time since the 1960s, the technology has really started off only around late 70s as an integral part of the automation inspection process. In 1977, Professor David Marr of MIT introduced a groundbreaking theoretical framework for vision, known as the

What is machine vision? Machine Vision (MV) or Computer Vision is a compound solution of utilizing algorithm, machine learning and customized cameras in order to receive and analyze images. It is a technology widely used in autopilot, product inspection, security and medical appliances. By combining machine learning and highly specialized cameras, MV is vastly superior

Introduction to Telecentric Lenses In the world of optics, telecentric lenses represent a significant advancement, particularly in applications requiring high precision and accuracy. These lenses are designed to maintain constant magnification over a range of object distances, making them ideal for detailed and accurate measurements. This article delves into the fundamentals of telecentric lenses, their

Ever wondered how machines get their ‘eyes’? That’s where FA lenses in machine vision come in, especially in the world of automation manufacturing. Let me guide you through this fascinating world, making it as clear as crystal. FA lenses in machine vision are precision optics designed for automated systems in manufacturing. They provide consistent, high-quality

In the world of industrial automation and quality control, machine vision plays a pivotal role in ensuring precision, accuracy, and efficiency. One of the most essential components of machine vision systems is the linescan camera. In this comprehensive article, we will delve deep into the world of machine vision linescan cameras, exploring their technology, applications,