The phyBOARD for VC MIPI Development Kit from Phytec, in collaboration with Vision Components, is now available in two versions with NXP i.MX 8M Plus and i.MX 8M Mini processor boards.
Artificial intelligence (AI) is currently the leading trend in machine vision. Every major machine vision software package incorporates AI as one of its tools, and even less common software options include AI features as well.
High-speed machine vision technology, combining ultra high-speed imaging with advanced algorithms, is transforming industrial quality inspection by enhancing precision and efficiency. This article highlights its technical principles, applications, and development trends, as well as the challenges and breakthroughs in the field.
Optical metrology is crucial for precision in industrial quality control, especially in automotive and medical sectors. Unlike the human eye, cameras depend on pixel resolution for edge detection, making optics selection essential. Telecentric and endocentric lenses offer distinct benefits and limitations, helping professionals make informed decisions.
Modern medical imaging systems can leverage the strengths of both spectra, leading to improved diagnostic capabilities and superior imaging across various medical use cases.
RGB-IR camera technology simultaneously captures standard color (RGB) and infrared (IR) light using a specialized filter. This integration enhances medical imaging by providing improved diagnostic capabilities through dual-spectrum capture.
Neutron imaging enhances aerospace valve inspection by detecting issues traditional methods like X-rays miss. It reveals contaminants and allows for detailed 3D models, improving the assessment of complex valve assemblies.
Advancements in Contact Image Sensor (CIS) technology are transforming machine vision. They offer high speed, resolution, and a compact design ideal for tight inspection tasks in battery and PCB production lines. With features like high dynamic range and accurate metrology, CIS enhances quality control and efficiency in modern manufacturing.