Machine Learning for
Intelligent Vision Systems
At Teamswork Robotics, we move beyond traditional rule-based image processing by developing advanced machine learning systems that enable machines to see, understand, and decide with human-like intelligence. Our AI models are trained directly on in-house OK (pass) and NG (fail) image datasets, allowing them to self-learn and continuously improve in classification, defect detection, and quality control applications.
Intelligent Vision Systems
By combining the right camera and lens selection, optimized illumination, PLC and automation integration, sensor fusion, and computer vision techniques, we deliver turnkey intelligent solutions tailored to industrial environments. These systems operate 24/7 across various industries, ensuring unmatched performance, reliability, and adaptability to evolving production demands.
Leveraging diverse camera technologies and our proprietary deep learning library, we achieve precision levels beyond human visual capability, successfully detecting even the most subtle defects. Our Edge Computing infrastructure enables real-time inference—executing complex AI models within milliseconds without requiring internet connectivity, ensuring both speed and data security on the factory floor.
Through the integration of robotics and machine learning, we create vision-enabled robots and intelligent machines capable of autonomous inspection, decision-making, and adaptive manufacturing. With Merlicon’s machine learning–powered vision systems, the factory of the future is not just automated—it’s intelligent, perceptive, and self-optimizing.