What's New in the Machine Vision Space?
Machine vision has made its way into industries beyond the manufacturing sector.
Fremont, CA: Machine vision is no longer confined to brick-and-mortar installations, but makes its way into areas such as plantations, airports, and highways. In order to report what they capture to the cloud, industry 4.0 systems rely on machine vision powered devices so that artificial intelligence can make informed decisions.
Embedded imaging incorporates the capabilities of image capture and processing into a single unit. This technology for machine vision has made its way into many industrial applications, such as systems of inspection and sorting. In products such as self-driving cars, autonomous drones, and smartphones, manufacturers have also introduced embedded vision. In 2020, embedded vision is expected to be used in many more automation systems. More companies will be able to incorporate their own AI and deep learning technologies with additional preprogrammed, embedded image processing applications. For easier plug and play solutions, more devices designed for very particular commercial tasks will be made available.
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Vision Guided Robotics
The demand for more intelligent and faster 3D measurement and guidance systems is growing as robotic systems grow and achieve more versatility. In 3D imaging systems, the complex algorithms used must process images in real-time. This involves the distance between a number of points being calculated so that moving robots know exactly where they are in 3D space. For applications like the bin picking of randomly oriented, homogenous objects, 3D imaging systems have been developed. But 3D imaging algorithms must enhance their precision in the case of heterogeneous and unknown objects, such as parcels and boxes. Expect the new year to usher in the development of features such as quick 3D reconstruction of measurement object surfaces that could speed up production rates of automation.
Component lens providers have stepped up to the challenge of providing better optics as camera resolutions increase and pixel sizes decrease. Not only in terms of efficiency, but also in speed, lens performance must improve. By means of a change in current or voltage, liquid lenses can change focus almost instantly without the mechanical changes of traditional lenses.Liquid lenses have recently progressed beyond intelligent sensors and intelligent cameras and into complex industrial applications. When imaging distance varies and rapid focus is required, liquid lenses shine.