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GT PAINTER I
Artificial Intelligence Powder Coating Robot System Using AI Technology
Recently, a Deep Learning-based machine learning methodology with 99% accuracy was applied to recognize various breeds and generate motions suitable for those breeds.


- Final accuracy depends heavily on the quantity and quality of collected data, as well as the machine learning algorithm.
AI-based variety recognition technology
Recognizes over 300 types of parts by applying deep learning technology
Implements fully automated painting by generating type-specific motions

Integrated Robot Control Software Platform (MAVIZ)
Execution of all robot functions within a single software module
Flexible robot motion during installation and deployment due to systematic function classification
Intuitive control using 3D markers

Technology for controlling motion by tracking objects on a conveyor in real-time using a high-resolution industrial vision system
Optimization of execution time through the generation of optimal robot motion paths