Accurate and accurate! CCD visual inspection of ceramic parts

Because of its unique material characteristics and decorative effects, ceramic pieces play an important role in human life and culture, showing a variety of application and artistic value.

In this case, the appearance and classification of ceramic parts are detected. For such problems, we recommend the use of CCD visual inspection equipment, and the backlight detection method of the equipment can just meet the needs of the system. After testing, the detection efficiency can reach no less than 200 pieces per minute (depending on the product feed speed).

CCD visual inspection equipment is a kind of visual inspection equipment using charge coupled device (CCD) as sensor. CCD sensor is used to capture the image, and image processing algorithm is used to analyze and detect the image. CCD sensor can convert optical signal into electrical signal, so as to realize the digital processing of optical image. It is widely used in the field of quality inspection, product assembly, identification and measurement on automatic production lines. They are also commonly used in medical imaging, security monitoring, robot vision and other applications.

Equipment characteristics

High resolution: CCD sensors typically have high pixel resolution and are able to capture detailed images.

High sensitivity: CCD sensor has high conversion efficiency of optical signal, and has good sensitivity and dynamic range.

Stability: CCD sensors have high stability during long-term use and are suitable for applications that require continuous work for a long time.

Fast: CCD visual inspection equipment can realize high-speed image acquisition and processing, which is suitable for application scenarios requiring rapid detection.

Equipment composition

Visual inspection software

Industrial computer

display

Industrial camera

Camera adjustment module

Industrial lens

illuminant

Detection platform

Servo motor

Control system

PLC motion collaboration

Detection effect

Top backlight detection good product analysis diagram: OK

Classification rejection indicator chart：