Slamcore, a leader in spatial intelligence for autonomous location and mapping, has joined the Nvidia partner network, a programme that guides developers, engineers and innovators to products and services accredited to work with Nvidia products, including the Nvidia Jetson platform
As AMD buys Xilinx and Nvidia acquires Arm, we ask two industry experts what this could mean for the vision sector
Framos has joined the Nvidia partner network as a preferred service delivery partner
The panel discussion at the Embedded World trade fair
Matthew Dale looks at what it will take to increase the adoption of embedded vision
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
MVTec’s deep learning tool provides means to label data simply and efficiently
Matthew Dale explores the software to simplify the management and labelling of deep learning data
Classification of nuts as good or bad using Specim’s FX17 camera
Optical design is crucial in enabling wider adoption of hyperspectral imaging, finds Andy Extance
Keely Portway surveys the latest advances in colour imaging, creating fresh opportunities in certain applications
An Illustration of the surface of PAN fibres (left) and carbon fibres after spreading (right). Credit: Fraunhofer IGCV and Chromasens
Work is underway to build a vision system to detect defects in webs of composite materials
