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
E-con Systems has developed ultra-low light 3.4 megapixel camera support for Nvidia Jetson Nano
UK firm Winnow has launched an AI-enabled product incorporating vision that aims to help commercial kitchens reduce food waste
Nvidia’s open source Deep Learning Accelerator is to be integrated into Arm’s Project Trillium platform for machine learning
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
