PRODUCTS Software
Software kit for event-based imaging Prophesee, a provider of neuromorphic vision technology, has released a suite of software tools to help engineers develop event-based imaging systems. Te software is for the company’s Metavision
event-based sensor, which it launched last year. Event-based vision is an imaging method that records changes in a scene, rather than capturing an image frame by frame. Te Metavision Intelligence Suite has three
components – Player, Designer and SDK – each aimed at different stages of the design process. It is available in both a time-unlimited free trial, as well as a professional version, providing access to source code, advanced modules, revision updates, full documentation and support. In total, the suite consists of 62 algorithms, 54
code samples and 11 ready-to-use applications. It provides users with both C++ and Python APIs, as well as documentation and a wide range of samples organised by increasing difficulty to introduce the fundamental concepts of event-based machine vision. 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 compared to traditional frame-based systems. Te third-generation VGA sensor is aimed at
developers of cameras for industrial automation and IoT systems, such as robots, inspection equipment, monitoring and surveillance devices. Te software toolkit supports this work. Set algorithms provided in the suite include
high-speed counting, vibration monitoring, spatter monitoring, object tracking, optical flow, ultra-slow-motion, machine learning and others.
Lenses
Fujinon TF-MA lens series With the Fujinon TF-MA lens series, Fujifilm now offers three machine vision lenses for high-resolution three-chip colour cameras. Te lens series was developed for industrial
high-resolution three-chip colour cameras and is optimised for precise measurement and inspection tasks. Te C-mount lenses, with focal lengths of 6, 14 and 25mm, give excellent colour reproduction and optical resolution. Te lenses give consistent sharpness from
the centre to the corners, as well as a low level of distortion. Teir design allows short working distances of 100mm for the 6 and 14mm lenses, and 200mm for the 25mm lens. With dimensions of 48 x 62mm for the 6mm lens, and 34 x 63mm for the 14 and 25mm lenses, they are also very compact. All three lenses in the series deliver optimal
www.imveurope.com | @imveurope
Sapera Vision Software Edition 2020-09 Teledyne Dalsa’s Sapera Vision Software Edition 2020-09 includes Sapera Processing and the new Astrocyte graphical application for artificial intelligence. Te software suite offers field-proven image
processing and AI functions to design, develop and deploy high-performance machine vision applications. Astrocyte 1.0 is a new AI-based graphical
‘We understand the importance of enabling
the development ecosystem around event- based vision technology. Tis software toolkit is meant to accelerate engineers’ ability to take advantage of its unique benefits without having to start from scratch,’ said Luca Verre, CEO and co-founder of Prophesee. ‘Te tools offer productivity and learning features that are valuable, regardless of where a development team is on the adoption curve of event-based vision, and will jump-start design projects with production-ready design aids.’ Te Metavision Player module has a graphical
user interface for visualising and recording data streamed by Prophesee-compatible event- based vision systems. Te Designer module consists of a set of libraries, Python APIs and code examples built for quick and efficient integration and testing. Finally, the SDK is a large set of event-based vision algorithms, available via APIs. Algorithms are coded in C++ and available via pre-compiled Windows and Linux binaries in its free license version.
www.prophesee.ai
application dedicated to training neural networks on 2D images for a wide range of applications. Trough its flexible graphical user interface, users can train neural networks to perform classification, object detection, segmentation and noise reduction on existing images. Astrocyte can then export models to Sapera Processing 9.0 – the latest version of the Sapera Processing library, providing classes for AI inference – for integration into a final application. Te new version of Sapera vision software is
ideal for applications such as surface inspection on metal plates, location and identification of hardware parts, detection and segmentation of vehicles and noise reduction on x-ray medical images.
www.teledynedalsa.com
Halcon version 20.11 MVTec Software will publish a new release (version 20.11) of its Halcon software on 20 November.
A new 2D code type known as DotCode
has been added to the release. It is based on a matrix of dots and can be printed very fast, which makes it especially suitable for high- speed applications. With another new feature called
Deep OCR, numbers and letters can be localised much more robustly, regardless of orientation, font type, and polarity. Te ability to group characters automatically enables the identification of whole words. Tis improves the recognition performance significantly and avoids misinterpreting characters with similar appearances. Shape-based matching was also optimised
in Halcon 20.11. More parameters are now estimated automatically, which improves the matching rate in low contrast and noisy situations. In addition, edge-supported, surface-based 3D matching is now significantly faster for 3D scenes with many objects and edges. Halcon 20.11 also includes a new method
image quality on 1/1.8-inch sensors with 2µm pixel pitch. Furthermore, they can also be used on sensors of up to 2/3-inch with 3.45µm pixels.
www.fujifilm.eu
for extracting edges with the aid of deep learning. Especially for scenarios where a large number of edges are visible in an image, the deep-learning-based edge extraction function can be trained with only a few images, to extract only the desired edges.
www.mvtec.com
OCTOBER/NOVEMBER 2020 IMAGING AND MACHINE VISION EUROPE 33
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