Happy to announce availability of perClass Mira 4.2 release brining simpler acquisition and full support for perClass Stage lab-scanning kit
Today marks a special day of perClass journey! We are proud to announce that perClass is joining Headwall Photonics to scale industrial use of spectral imaging. We will integrate closely with Headwall sensors. At the same time perClass will continue working with our current and new partners leveraging diverse sensor types.
Happy to share full video of a Visratek cashew sorting machine built using Headwall hyperspectral sensor and perClass Mira
Happy to announce the launch of perClass Mira 4.0 including support for Unispectral Monarch II camera.
At ANUGA FoodTech show in Cologne, Germany, we demonstrated live integration of perClass Mira with several spectral cameras. We have showed live tomato brix estimation, foreign object detection and also running the full GUI environment on NVIDIA Jetson
We're happy to announce availability of perClass Mira 4.0. It brings strong new functionality for acquisition of data from six different types of spectral cameras and live processing.
We have presented perClass latest developments at the PhotonicsWest 2022 in San Francisco. It was a great opportunity to reconnect with our partners and customers. The visitors got a chance to see several live demos of perClass Mira and its runtime technology processing data from different spectral cameras. Happy to share more details with you in this post.
Happy to share impressions from the VISION show! After a long time of on-line meetings, we had once again a great in-person fair in Stuttgart, Germany. We experienced three days packed with valuable encounters and exchanges with our customers, partners and colleagues.
Recording of a presentation at Hyperspectral Imaging Application Center (HIAC) on object quality estimation in perClass Mira
We're happy to join the SpectroExpo event again with two hands-on tutorials on interactive spectral index definition and regression.
Our presentation for Spectronet demonstrating practical work-flow of spectral image interpretation. Several use-cases such as foreign object detection, object classification/grading and quality estimation are discussed. Deployment of solutions in custom applications is explained and two integrated products in spectral imaging market are shown, namely Headwall MV.X and Pleora AI Gateway.
MV.X integrated hyperspectral camera presented by Christian Felsheim from Headwall Photonics Europe. This presentation provides number of use-case examples created using perClass Mira and explains the process of deploying custom spectral imaging applications in production
Happy to share the public announcement of our partnership with Headwall Photonics that brings perClass Mira runtime technology into Headwall's new line of integrated MV.X hyperspectral machine vision cameras. This allows machine builders to design and deploy advanced sorting solutions with unprecedented speed and flexibility.
We are happy to announce the new 2.2 release with new interactive visualization of spectral indices, per-pixel regression, and snapshot support in perClass Mira Runtime.
perClass got a lot of attention at the last week PhotonicsWest show. Five of our partners were running live demos of perClass Mira with their spectral cameras. Several new hardware products were introduced together with their perClass integration. We had a great time in San Francisco!
Happy to announce that perClass is partnering with Pleora to simplify deployment of hyperspectral imaging for inspection applications. At PhotonicsWest show next week, we will demonstrate perClass runtime technology embedded in Pleora AI Gateway.
Last week we had our Autumn Applied Machine Learning course in Delft. We had a great group of eight enthusiastic participants coming from as far as South Africa. Traditionally, many diverse application areas from mineral sorting, hyperspectral tissue characterization, remote sensing tree species classification, automotive, predictive maintenance, food authentication and plant biology.
perClass Mira 2.0 release is a major update bringing tools to understand and improve models, develop solutions on object level including classification and regression and do model validation on live data stream.
perClass Mira models can be now applied to a live stream of spectral data from Specim FX cameras. This new built-in functionality allows users to quickly validate the solution accuracy and execution speed from the GUI.
perClass Mira 1.4 brings new perClass Mira Runtime DLL capable of real-time deployment of pixel classification and object detection work-flows. In this benchmark, we measure execution speed on a realistic use-case on three different systems.
We have developed an algorithm to assess brix value (sugar content) of tomatoes remotely using hyperspectral imaging based on a data set, provided by our customer Wageningen WUR.
Happy to share that perClass Mira is now available on Linux platform.
The video of our presentation at Industrial Vision days during the VISION Stuttgart trade-fair in November 2018 is now available.
We have given a live demo of perClass Mira processing hyperspectral data at the EPRISE event in Amsterdam.
The latest 1.3 release of perClass Mira brings number of usability improvements requested by customers. See a short screen-cast!
Last week we had a Practical Machine Learning training course in Eindhoven. We had a nice group of professionals working on diverse applications ranging from audio processing to defect detection using hyperspectral imaging, vibration diagnostics, mechatronic system validation and video analysis.
This week, we presented live demo of plastic contamination detector at Agri&Food Tech event in Den Bosch, The Netherlands. In the demo, perClass Mira was used to design and execute live detection of foreign objects in food product, invisible to naked human eye, using Specim FX17 camera.
Last week, we have participated in the world's largest machine vision show in Stuttgart, Germany. perClass got a significant attention from industrial practitioners, system integrators, distributors and camera manufacturers.
Last week, we gave the 19th edition of Machine Learning course for practitioners. We have discussed a broad range of applications including defect detection, geophysical applications, medical support systems and remote sensing.
What a busy week! Another event related to food processing, this time in Brightlands Venlo. Live demo of spectral image interpretation gave us a unique opportunity to understand challenges of practitioners from food production in this part of The Netherlands.
We gave a live demo at specialized event on Photonics for Agro&Food indutry.
perClass sponsored SpectroExpo event, part of WHISPERS conference on hyperspectral imaging in Amsterdam. It was a great opportunity to meet both our industrial partners and users of spectral imaging systems.
Happy to announce that SpectraPartners became a distributor of perClass software in Benelux!
Users of Imec spectral cameras may now benefit from a tight integration between perClass Mira and HSIViewer.
New release of perClass Mira brings many enhancements such as confusion matrix visualization of error structure, interactive performance fine-tuning, and RGB preview mode.
The research team of RECENDT has published prrogress on their new mid-infrared hypespectral scanner illustrating material separation using perClass Mira
Happy to share a publication made by Wageningen WUR researchers who used perClass Mira together with Specim I camera to validate authenticity of bananas.
Together with SpectraPartners, distributor of Specim spectral cameras, we have given a joint demo at Wageningen WUR Summerschool of plant phenotyping. Participants could see spectral image acquisition and interpretation in minutes without programming.
The video of our presentation at Chii 2018 hyperspectral workshop in Graz is now available.
We are happy to announce our Machine Learning autumn course. You are welcome to bring your own data for the practicum. The course includes hands-on exercises on Deep Learning. Would you like to join? Register now.
Creating classification solutions for hyperspectral images is now only a matter of few minutes. In this short video Cubert illustrates the workflow for spices classification. In perClass Mira the user can easily create a classification solution. Cubert has integrated perClass Runtime in their camera acquisition software. In this way the classification model can be applied directly to the live camera feed.
We have participated in the Chii 2018 hyperspectral imaging workshop in Graz, Austria. Happy to share huge amount of interest in our perClass Mira user interface.
perClass was represented at the Vision & Robotics trade-fair in Veldhoven, The Netherlands at the stand of SpectraPartners.
We have welcome a diverse group of researchers working on applications in industrial quality control, agro & food robotics, traffic and maintenance, brain computer interfaces and multimedia content analysis.
At Agri&Food fair, we have demonstrated the first public beta of the perClass Mira environment for user-friendly interpretation of spectral images.
We’re happy to announce a partnership with Cubert GmbH a pioneer in real-time spectral imaging. Via this partnership, perClass comes tightly integrated into Cubert software and directly useful for all Cubert customers. I comes as a part of standard Cubert Utilities installer.
In the last week course, we had welcomed participants from Netherlands, Belgium, UK and Spain.
University Liège has been using perClass to build a metal sorting system based on hyperspectral imaging. Classifying metals in hyperspectral images is very challenging task
Last week, we participated in the Vision Trade Fair in Stuttgart, Germany, the world’s leading machine vision event. It was our fourth exhibition and, by far, the most exciting. While few years back, we had to explain what we mean by Machine Learning, today’s environment and public perception entirely changed.
In our October course, we have welcomed a group of 10 researchers from The Netherlands, Mexico and Germany. Participants brought in a lot of enthusiasm and interest especially in Deep Learning.