Imaging systems are becoming ubiquitous in modern technology; camera-lens systems are almost everywhere you look. From smartphones to self-driving cars, our world is filled with computers that rely on machine vision to record, observe, and analyse their surroundings.
White Papers
17 September 2019
01 July 2019
A short introduction to shortwave infrared (SWIR) imaging: An overview of SWIR technology and principals. Contains examples and suggestions for practical implementation of SWIR imaging in machine vision systems.
28 March 2019
Integrating a single liquid lens into an imaging assembly can produce extremely flexible machine vision systems capable of rapidly changing their focus in milliseconds.
21 March 2019
3D imaging technology plays a powerful role in industrial applications. Depending on the application requirements, such as distance to target, level of accuracy and precision, environmental lighting, and overall costs, different 3D technologies will bring different advantages.
18 July 2018
Examples of how deeply cooled scientific SWIR InGaAs cameras are being used as enabling technologies for luminescence-based imaging of nanotubes
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Latest issue
Limited data is a common problem when training CNNs in industrial imaging applications. Petra Thanner and Daniel Soukup, from the Austrian Institute of Technology, discuss ways of working with CNNs when data is scarce
Matthew Dale explores the high-resolution imaging solutions emerging for inspecting OLEDs and other electronic displays
As car makers install production lines for electric vehicles, Greg Blackman looks at how vision is currently used in their factories
Keely Portway investigates how vision technology is being used in the dental sector, from initial diagnosis, to quality control of prostheses
The UK is up to 20 per cent less productive than its major competitor countries because it is not investing in automation, Mike Wilson at the British Automation and Robot Association said at UKIVA's machine vision conference in Milton Keynes. Greg Blackman reports
