Each pixel in Prophesee’s Metavision sensor only activates if it detects a change in the scene – an event – which means low power, latency and data processing requirements
For the first time since 2016, Imago Technologies is exhibiting at the FachPack in Nuremberg from 24 to 26 September
Imago has released the VisionBox Daytona with a built-in modem. Even large amounts of images can be transferred by 4G or soon even 5G transmission power
First example applications are available from sensor manufacturer Prophesee and Imago Technologies for their event-based camera
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
Machine vision camera maker Imago Technologies has built an industrial camera based on a vision sensor from Prophesee that operates along similar principals to human vision, rather than capturing frames like a standard CMOS sensor
Imago Technologies (1-458) will show its VisionCam Prophesee, a Linux-based smart camera able to analyse fast moving scenes. The sensor inside works more like a human eye than a classical area scan sensor.
Also on display will be the VisionCam Line Scan, a complete line scan system. The VisionCam contains a fast multi-core Arm CPU and uses the Halcon image processing library.
The board version of the entry-level VisionSensor will be introduced at the show, for OEMs that want to integrate the device into any kind of system or machine.
Deep learning was in force at the Vision trade fair in Stuttgart at the beginning of November. Greg Blackman reports from the show
Imago Technologies has integrated powerful GPU cards with over 2500 Cuda cores – like the GTX 1018 – into its VisionBox
Keely Portway looks at the changing relationship between human and robot in industrial environments, and the latest vision innovations involved in bringing them together
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
Matthew Dale explores the high-resolution imaging solutions emerging for inspecting OLEDs and other electronic displays
As car makers install production lines for electric vehicles, Greg Blackman looks at how vision is currently used in their factories
Keely Portway investigates how vision technology is being used in the dental sector, from initial diagnosis, to quality control of prostheses
The UK is up to 20 per cent less productive than its major competitor countries because it is not investing in automation, Mike Wilson at the British Automation and Robot Association said at UKIVA's machine vision conference in Milton Keynes. Greg Blackman reports
