Our core technologies in the field of intelligent detection and control cover a series of advanced algorithms and models, aiming to improve the level of automation and detection accuracy in industrial production. By combining machine vision and big data technology, we have developed high-precision recognition and control algorithms to ensure efficient and accurate operation in various complex production environments.
Machine vision accurate recognition algorithm: Through deep learning and image processing technology, our machine vision algorithm can accurately identify various industrial objects and maintain a high recognition rate even in complex backgrounds.
High -level feature modeling algorithm: Our algorithm can extract and model high-level features of complex workpieces, providing a solid foundation for intelligent inspection and control.
Large - scale cluster control algorithm: supports the synchronous control and scheduling management of hundreds or thousands of devices to ensure the high coordination of the production line.
Adaptive calibration analysis algorithm: Provides efficient adaptive calibration function, which can automatically adjust the detection equipment to meet different production needs.
Structural optical reverse modeling algorithm: Uses structured light technology to achieve accurate 3D modeling, suitable for the detection and analysis of complex-shaped workpieces.
