Functions
Detect and recognize products using AI-powered vision systems in real-time
Analyze product features (e.g., size, shape, color, defects) to assess quality
Automatically classify products into different categories (e.g., good vs. faulty)
Control robotic arms to sort or remove substandard items from the conveyor
Track and log inspection data for quality control and production analysis
Support customizable classification rules based on production needs
Benefits
Improves product quality control by detecting defects early and accurately
Increases production efficiency through automated classification and sorting
Reduces manual labor costs and minimizes human error in inspection tasks
Enhances consistency and reliability in product evaluation and sorting
Supports real-time monitoring and decision-making with data logging and analysis
Scales easily for different product types and classification rules