Sensi-snow blast is a novel dry snow industrial cleaning system, designed for producers in major manufacturing industries.It offers the first solution for on-site precision cleaning of complex manufacturing machines and materials that are too delicate for cleaning with existing cleaning technology.
Sheet metal forming is one of the most important processes in the automotive industry production. The project will focus on the development of smart tool for sheet metal forming with integrated servo systems and sensors for optimization of forming processes.
The main purpose of the project is development of an advanced light-line system, which may completely adapt to optional architecture and space functional needs as well as dynamically changes the light spectrum by having a positive impact on the well-being and activity of people in a space.
Using guidelines of industry 4.0. And new technologies integrated system for management of manufacturing will be developed and tested. System will connect different component of manufacturing process and using intelligent algorithms provide optimal management of manufacturing process.
An upscaled version of our current demo ultrasonic spray pyrolysis (usp) will be set up for production of multifunctional au nanoparticles (m-gnps) at zlatarna celje. New protocols for characterization techniques of m-gnps will be developed in order to obtain the required final properties
Within the project we will introduce functional product (protective clothing) with cooling capabilities. Solution will integrate thermoregulative function and monitoring of users vital life functions into one protective smart garment system that is pre-designed to be used by specific target groups.
Our goal is to create an expert system, called smartcare, that will create benefits for patients receiving care by deciding on the most optimal care needed. It will maximize outcomes by analyzing and understanding individual traits and giving clear recommendations with ai support for best execution.
We have set a project that aims to develop state of the art ai controlled machine for shot peening. Main innovation is feature that uses sensory and thermal imaging readings, ai algorithms and learnings to predict remaining life of heavily worn parts and prevents failures by guiding intervention.
The result of the project is a portable welding device that will be much lighter, more flexible and easily transportable across the stairs. The device will be made of several components, of which none will exceed e.G. 50 kg. The device will use a new generation of lasers (fibre lasers).
To develop a new single window tool based on structured, systematic, interactive forecasting techniques that relies on infrastructure based safety measures, context of transportation and monitoring to solve the european problem of transport of dangerous goods.