Greg Blackman explores the vision and AI technology transforming our roads, as the transport sector gathers for the Intertraffic Amsterdam trade fair
Deep learning
Cognex strengthens deep learning IP with Sualab acquisition
17 October 2019
Sualab’s Suakit machine vision software uses neural networks to detect atypical and irregular defects that are not easily captured by a traditional rule-based machine vision system
Halcon 19.11
4 October 2019
MVTec Software will release Halcon 19.11, the latest version of its standard software Halcon, on 15 November
Bosch to cut engineering cost with AI
26 September 2019
Wolfgang Pomrehn, collaborative robotics product manager at Bosch Rexroth, says deep learning could reduce the engineering effort of introducing new products to a manufacturing line by three quarters
NeuPro-S AI processor architecture
26 September 2019
Ceva announced from AutoSens in Brussels NeuPro-S, its second-generation AI processor architecture for deep neural network inferencing at the edge
Embedded Vision Europe conference to cover AI topics in Stuttgart
25 September 2019
David Austin, senior principal engineer at Intel, will give the opening keynote on the topic of 'flexible and practical AI for industrial deployment'
SuaKit v2.3
20 September 2019
The newly released version 2.3 of SuaKit, deep learning machine vision software library, will enable more challenging visual inspections in manufacturing
FAIM SDK for AI-powered algorithms
10 September 2019
Framos AI is launching its FAIM SDK to enable AI powered algorithms optimised for real-time applications
AI expertise to be integrated into Pleora frame grabbers
20 August 2019
Pleora Technologies and Lemay.ai have announced a strategic partnership that simplifies the introduction of machine learning capabilities into real-time imaging applications
Lessons in training neural nets
26 July 2019
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
Pages
Latest issue
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
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
