Intelligent inspection machine for the appearance of glass balls

Workflow：

-Manually place the small balls into the lifting silo through the material tray, and the system automatically loads them into separate trays;

-Machine vision algorithms identify and calculate the spatial coordinates of the balls, and the robotic arm automatically picks the balls to the inspection workpiece.

-The optical non-contact inspection system measures and images the ball's appearance.

-The robotic arm places the balls into different trays based on the defects and finished products identified by the AI tracking detection software.

Product Features：

-Optical non-contact inspection method effectively avoids damage to the ball's appearance.

-Combines deep learning technology to accurately identify and classify defect types, avoiding human error.

-Uses a hopper method, extending utilization time and reducing labor costs.

-Reserved MES system interface for convenient work information monitoring.

Technical Specifications:

①：The values are obtained in a standard testing environment.