Algolux presented a research paper at CVPR 2020, describing an approach applying a stochastic optimisation method to the problem of optimal hardware-software co-design of cameras and computer vision algorithms
This paper will analyse the benefits and drawbacks of traditional image processing and deep learning. It aims to provide clarity on the subject of deep learning, which can then help data scientists and industries choose the most suitable method depending on the task.
A setup for photometric stereo imaging in which multiple lights are used to illuminate an object from different directions. Credit: Advanced illumination
Matthew Dale explores the power of computational imaging, all made possible by clever illumination
The impact of lidar in automotive has been replicated by the application of structured light approaches in machine and computer vision systems. The ultimate paradigm shift is restore vision to the blind. A discussion between photonics hardware, software and users is needed.
Zensors' algorithms analyse feeds from CCTV cameras to provide real-time data on the number of people in an area and whether safe distances are maintained between them
Takashi Someda, CTO at Hacarus, on the advantages of sparse modelling AI tools
Learn what kinds of inspection become possible with computational imaging. Includes a detailed overview of CI techniques used in machine vision and the components needed, and six application examples.
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
Algolux has announced a research partnership with Mila, an academic research institution dedicated to advancing artificial intelligence, with a strong focus on deep learning related to image processing and computer vision
Reconstruction of traffic signs with high-resolution colour non-line-of-sight imaging using conventional CMOS cameras sensors
Carnegie Mellon University showed a non-line-of-sight imaging technique able to compute millimetre- and micrometre-scale shapes of curved objects
Advances in sensors that capture images like real eyes, plus in the software and hardware to process them, are bringing a paradigm shift in imaging, finds Andrei Mihai
Credit: Darko Cacic/Shutterstock.com
A new automated approach is helping engineers in vision technology and forensics to identify rare traces, which can be essential in solving a crime
The inspection engineer is able to see on the tablet that the structure is free of defects (Credit: Fraunhofer)
Integrating AI and augmented reality into imaging and machine vision for automated inspection tasks paves the way for faster, more efficient manufacturing, finds Abigail Williams
Camera and AI-equipped agricultural robots that can till, weed, pollinate and harvest are revolutionising farming, discovers Benjamin Skuse
Optical accelerators are enabling a new generation of powerful hyperspectral cameras, writes Professor Andrea Fratalocchi, of KAUST and Pixeltra
Optical accelerators are enabling a new generation of powerful hyperspectral cameras, writes Professor Andrea Fratalocchi, of KAUST and Pixeltra
Compact hyperspectral imaging cameras have huge potential once integrated into stringent clinical workflows, writes Imec’s Wouter Charle
Imec’s Wouter Charle on how compact hyperspectral imaging cameras have huge potential once integrated into stringent clinical workflows
