Embedded vision, deep learning, and Industry 4.0 could all have a big impact on the machine vision sector in the future. Three experts give their opinions
The machine vision industry is on the verge of entering a new era, one based on embedded processing, according to Basler’s CEO Dr Dietmar Ley. Greg Blackman reports from the European Machine Vision Forum in Vienna
Product design firm Cambridge Consultants has built a smart recycling unit that uses both machine vision and machine learning to help consumers identify what waste can be recycled in shops or commercial buildings
Greg Blackman speaks to Guy Lavi at Israeli firm Volume Elements, a company that specialises in developing vision algorithms
A new approach to thermal imaging incorporating machine learning has been developed that improves the classification of objects at distances up to 1,500 metres
Researchers have used a facility featuring hundreds of video cameras to teach a computer to recognise and understand the body language of multiple people in real time
More and more, machine vision systems are expected to make dynamic, automated decisions based on variable conditions. The amount of time and effort to develop these systems can be daunting. Today, the advent of deep learning is changing this landscape and putting automation within the reach of many. Resources such as open-source libraries, Nvidia hardware, and FLIR cameras are helping to make this change happen FLIR cameras have advanced features that minimize the image pre-processing required for neural network training, work seamlessly with platforms such as NVidia Jetson TX-2 and Drive PX 2, and offer 24/7 reliability for trouble-free deployment.
Artificial intelligence is being used in a new multi-modal image fusion technology that automatically combines the best parts of images from different sources
Cognex has strengthened its position in 3D vision with a number of recent company acquisitions in the area, as Greg Blackman discovers
Neural networks will be the common language of the future for computer vision, according to Professor Jitendra Malik from UC Berkeley. Greg Blackman listened to his keynote at the Embedded Vision Summit in Santa Clara
Greg Blackman looks at how SWIR spectral imaging can help reduce plastic pollution, both through environmental surveys and by improving sorting in recycling plants
Keely Portway looks at some of the new imaging techniques advancing biological investigation
The highlighted objects on the left show scaling errors, rotation errors or translation errors, while the objects on the right are a truer representation. Credit: Zivid
Matthew Dale explores the new 3D vision tools that are enabling automated bin picking
Tropical Storm Frank off the south western coast of Baja California, captured by Ames Research Centre's HDVis camera mounted on Nasa's Global Hawk unmanned research aircraft. Credit: NASA/NOAA
Theia Technology’s Mark Peterson outlined the benefits of rectilinear lenses at AIA’s vision solutions conference. Greg Blackman reports
As AMD buys Xilinx and Nvidia acquires Arm, we ask two industry experts what this could mean for the vision sector
Greg Blackman reports on how the heads of AIA, VDMA Machine Vision, EMVA, and UKIVA assess the impact of the pandemic on the vision sector
