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 reports from the Embedded Vision Summit in Santa Clara, where Allied Vision launched its new camera platform
Embedded vision looks set to disrupt the surveillance market, according to Michael Tusch of ARM. Greg Blackman reports on his presentation at the Embedded Vision Summit
A trial using deep learning algorithms has shown that artificial intelligence has the potential to assist technicians and detect human errors in medical image handling
Visualisation of the movements of road users in the city of Umeå. Besides counting the tracking over multiple counting lines, Viscando also analysed the tendency for traffic conflict. Credit: Viscando
Greg Blackman explores the vision and AI technology transforming our roads, as the transport sector gathers for the Intertraffic Amsterdam trade fair
Panelists from left: Christian Vollrath, Wenglor Sensoric; Rainer Schönhaar, Balluff; Peter Keppler, Stemmer Imaging; Andreas Waldl, B&R; and Dr Klaus-Henning Noffz, Basler
Anne Wendel, director of VDMA Machine Vision, reports from SPS 2019 in Nuremberg, where vision system simplicity was discussed
Prior to speaking at the Embedded World trade fair, The Khronos Group’s president, Neil Trevett, discusses the open API standards available for applications using machine learning and embedded vision
Vassilis Tsagaris and Dimitris Kastaniotis at Irida Labs say an iterative approach is needed to build a real-world AI vision application on embedded hardware
Leonardo da Vinci's Virgin of the Rocks. Copyright: The National Gallery, London
Giorgia Marucci from Pro-Lite Technology visits the National Gallery in London to find out how hyperspectral imaging was used to reveal the history behind Leonardo da Vinci’s The Virgin of the Rocks
How do users choose the best lens for an imaging system? The answer is Modulation Transfer Functions, Edmund Optics’ Dr Boris Lange explained in our latest webcast
