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Project “Development of a new method for detection and identifying bacterial colonies using artificial neural networks and Machine Learning algorithms” is co-financed from European Union funds under the European Regional Development Funds as part of the Smart Growth Operational Programme.

Project implemented as part of the National Centre for Research and Development: Fast Track.

 

Programme
Smart Growth Operational Programme

Action
1.1. R+D projects

Fund
European Regional Development Fund

Perspective
2014 – 2020

About the project
The aim of the project is to develop a new method for detection and identifying bacterial colonies using artificial neural networks and Machine Learning algorithms. The goal is to automate the analysis of bacterial culture colonies on Petri dishes, in particular, the classification of the type of sown bacteria and counting the number of bacterial colonies. The algorithms will be based on deep learning methods which, according to current scientific knowledge, are best suited for the recognition of images and can be used to identify the key morphological features of bacterial colonies. In cooperation with a microbiology expert, a training database will be prepared to match the parameters of artificial neural networks. The database will contain carefully described photos of Petri dishes, on which bacterial strains were sown, and which can be used in the supervised learning process. Additional information about the samples will be provided by spectral analysis and a three-dimensional map of vertices made by the laser scanning method. The final product will be specialized software for the analysis of bacterial cultures.

Name of the beneficiary
NeuroSYS

Project value
2 437 811,10 zł

Co-financing from the EU
1 850 331,93 zł

Voivodeship
dolnośląskie

County
m. Wrocław

 


Project “The development of a supporting system for maintenance departments of manufacturing companies, using augmented reality (AR) technology and elements of artificial intelligence (AI)” is co-financed from European Union funds under the European Regional Development Funds as part of the Smart Growth Operational Programme.
Project implemented as part of the National Centre for Research and Development: Fast Track.

Programme
Smart Growth Operational Programme

Action
1.1.1 R+D projects

Fund
European Regional Development Fund

Perspective
2014 – 2020

About the project
The aim of the project is to create a system that will support the work of maintenance departments of manufacturing companies, using augmented reality (AR) technology and elements of artificial intelligence (AI). It will increase the efficiency of employees working with advanced production machines (maintenance engineers, service technicians, automation service engineers) and will facilitate the transfer of knowledge and reduce the level of training required for effective service work. It can also be used as a training platform for new employees (standardized ‘hands-on’ training using AR glasses) as well as a tool supporting the work of engineers (easy, immediate access to key information in the workplace).

Name of the beneficiary
NeuroSYS

Project value
3 399 503,70 zł

Co-financing from the EU
2 616 473,22 zł

Voivodeship
dolnośląskie

County
m. Wrocław

 

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