The GSA Object Counter is a software developed for automatic recognition and classification of two-dimensional objects. The product consists of two analysis methods for object recognition, which are independent of each other.
Method number one uses a neural network. Artificial intelligence (AI) is used to try to assign new objects to trained object groups. This procedure was tested in a practical approach with different objects (objects, numbers) and produced very good results.
The second object recognition method is a color-based analysis method. Also this method has proven itself in practice (detection of different PET bottles). The method, using a neural network, is suitable for objects that differ from one another in terms of their object shape. The color analysis method is to be preferred if objects have the same shape but differ in their coloring.
Settings for the color analysis method. The criteria for creating color groups are configured here. These color groups are later used for object recognition in the color analysis process.