GSA Object Counter: Recognition and Classification of Objects
Software for the automatic recognition and classification of two-dimensional objects. The product consists of two analysis methods for object recognition, which are independent of each other. Artificial intelligence (AI) and Color analysis is used.
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. This method has also 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 preferable if objects have the same shape but differ in their coloring.
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. This method has also 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 preferable if objects have the same shape but differ in their coloring.
Color Analysis
Settings to perform object recognition based on colors.
Neural Network
Settings for AI training and neural network based analysis.
Misc Settings
Settings to perform recognition based on pixel sizes.
Device Settings
Video interface for image capture and object recognition
Timer-based image monitoring
Define when to start or stop the automated processing.
Monitoring of defined image areas
A sample to show how different parts of the image are selected.
AI in Action
Shows how images are recognised and put into their correct classes.
Training Group Settings
Train a certain group with different images.
Configurable Result Output
Ability to save your work in any defined format you want.
Training Room
Train all the input data with your pre collected samples.