Georgia produces about 70 thousand tonnes of mandarins annually, 50% of which gets exported. Local fruit juice industry utilizes most of the mandarins left in the country to produce mandarin juice. However, the leftover mandarin pomace causes serious environmental issues as the piled up pomace waste leaches acidic decomposting products as well as essential oils into the environment. Mandarin pomace is a rich source of fine chemicals and the project will develop environmentally friendly technologies to extrat those chemicals from the waste.
In the course of this project, the concept and prototype of a device for measuring the shadow line of real 3D objects was created and tested both in a test and real environment. The system is used to prepare the most suitable transport packaging for the safe packaging of the objects in question. At present, the production process contains too much manual labor and the level of automation needs improvement. The created system allows to reduce the volume of manual work and also to increase the quality of work (avoid errors and increase accuracy).
The project aims to explore the adoption of open-source platforms for monitoring production lines and to develop a solution for monitoring Balsnack waffle production line. The objective is to extend the solution to other production lines after successful validation. The project created an integrated production monitoring solution that combines machine vision-based quality control with inputs from sensors. Machine vision facilitates visual quality control and product identification. Product identification will automatically provide the system with preset values that will be compared with inputs from sensors.