Q1: What are the main differences between the AI Intelligent Optical Sorting System and traditional sorting equipment?
A1: Traditional sorting systems rely on fixed rules and manual adjustments, making it difficult to handle complex or variable materials. The AI system uses deep learning and multispectral imaging for greater adaptability and accuracy, enabling faster and more precise sorting across a wider range of applications.
Q2: What types of material characteristics can the system detect?
A2: The system can identify a wide range of features including color, shape, size, texture, impurities, cracks, mold, and more. It also supports model training tailored to specific application needs.
Q3: Can the system handle different product types or sizes?
A3: Yes. By adjusting the recognition models and parameters, the system can flexibly adapt to different materials and specifications. Quick switching between product types is supported.
Q4: Does the AI model support self-learning?
A4: Yes. The system features self-learning and ongoing model optimization capabilities. It can collect on-site data for continuous improvement, resulting in higher sorting accuracy over time.
Q5: Is installation and operation complicated? Do I need technical staff?
A5: Not at all. The system includes a user-friendly visual interface, supports one-click configuration and smart parameter tuning. Regular operators can manage it with minimal training, and our engineers provide full installation and technical support.
Q6: Are there any specific environmental requirements for operation?
A6: The system works well in most industrial and agricultural settings.
Q7: Does the system support remote monitoring and maintenance?
A7: Yes. The system can be connected to a network for remote monitoring, status updates, fault alerts, and online technical support—making operations and maintenance easier and more efficient.
Q8: Can the system be customized based on specific customer needs?
A8: Absolutely. We offer comprehensive hardware and software customization, including recognition models, optical components, mechanical design, and ejection systems—to meet the unique requirements of different industries.