The panel discussion at the Embedded World trade fair
Matthew Dale looks at what it will take to increase the adoption of embedded vision
Pegnitz river in Nuremberg
Vision technology will be one of the highlights at Embedded World in Nuremberg. Here, we preview what to expect
Phytec (1-438) will present its embedded imaging kit i.MX 8M
Participants will get information about how to plan and set up an embedded imaging system based on the NXP i.MX8 processor
For an optimal start with the new i.MX 8 processors, Phytec offers product training courses in which the processors, modules and kits are presented. Together with our developers and the manufacturer's experts, you will find the right processor and the best start for the development of your projects.
Participants will get information about how to plan and set up an embedded imaging system based on the NXP i.MX8 processor.
The training includes: an overview of the features of i.MX8 processors, along with how the individual processors in the family differ.
Greg Blackman reports from Embedded World, in Nuremberg, where he finds rapid progress in technology for imaging at the edge
Basler's embedded vision development kit, which won an Embedded World award, along with numerous other vision technology for embedded processing, was on display during the Embedded World trade fair at the end of February in Nuremberg, Germany
Matthew Dale discovers embedded processing and new CMOS technology are bringing advances to medical and life science imaging
On display at the Phytec booth (1H67) will be the PhyBoard-Nunki embedded imaging kit, which uses the two image processing units of NXP’s i.MX 6 processor. It is designed for embedded applications with multiple cameras, such as intercom systems with video, quality control applications that require a thermal imaging camera and a colour camera, or stereoscopy applications. The two camera ports of the kit can be used via five physical interfaces: two parallel PhyCam.P interfaces, two serial PhyCam-S+ interfaces, and a MIPI camera interface.
MVTec’s Halcon software library includes a deep learning OCR tool with pre-trained fonts from a wide range of industries. Credit: MVTec
Matthew Dale explores vision solutions for code reading and inspection in pharmaceutical production
Engineers at KYB in front of a pick-and-place solution for handling steel metal cylinders. Credit: Pickit
Car manufacturing has been hit hard by Covid-19, but the need for automation on production lines has not diminished, as Greg Blackman finds out
A point cloud of a National Research Council Canada artefact superimposed on a CAD model. Credit: NIST
How do you choose a 3D vision system for a robot cell? Geraldine Cheok and Kamel Saidi at the National Institute of Standards and Technology in the USA discuss an initiative to define standards for industrial 3D imaging
SWIR imaging can show bruising in fruit that wouldn't be evident with a visible camera. Credit: Sony
Edmund Optics’s Thomas Armspach-Young and Boris Lange consider the optics needed to get the best out of Sony's new short-wave infrared image sensors
What kind of economic development do you expect during and after this crisis?
Findings from a two-part survey, conducted by the European Machine Vision Association, on the effects the Covid-19 pandemic could have on the machine vision industry
Credit: Drag&bot
Christoph Hellmann Santos, of the ROS Industrial Consortium Europe and Fraunhofer IPA, explains why more industrial users are now building robots through the open source software platform, Robot Operating System
