MIT researchers have developed an on-chip system that detects signals at sub-terahertz wavelengths, which could help steer driverless cars through fog and dust.
The machine vision industry, coming off a strong 2018, will see continued growth throughout 2019 as major changes, largely driven by technology and economic advances.
Spotlight on innovation: Best automation, control, and instrumentation products in 26 categories.
Frame grabbers continue to provide benefits for machine vision applications because of the rising resolution and speed of image sensors.
Upstream oil & gas operations improved using data analytics.
Vision-guided robot (VGR) applications are useful for manufacturing applications and are quickly becoming commonplace as technology costs continue to drop.
Advances in deep learning, 3-D imaging, and optical character recognition (OCR) software are among the major machine vision developments happening right now.
Embedded vision technology is an essential component for augmented reality (AR) and virtual reality (VR) environments and allows headsets to capture the world around them in an extremely compact space.
Industry trends impacting the machine vision industry include embedded vision growth, deep learning technology, and global economic uncertainty.
The food and beverage industry has been an early adopter of machine vision technology, which has inspired some companies to develop technology that meets stricter industry standards.