Lithium battery diaphragm stain detection system can effectively detect surface quality problems

Traditional inspection methods such as manual visual inspection are slow, low-precision, and fatigue-prone. They are far from being able to meet the requirements of high-speed, high-resolution, and non-destructive inspection in industrial production. In the production process of the film, due to the influence of the production process and the on-site environment, it is easy to cause defects such as black spots, crystal spots, scratches, holes, lines, wrinkles, and mosquitoes on the surface of the film.

These defects not only affect the appearance of the film product but more importantly, reduce the performance of the film. How to detect defects on the surface of the film in time during the production process, eliminate the root causes of production, and achieve control and improvement of the surface quality of the film has always been the goal pursued by film companies. Compared with the traditional artificial naked eye inspection, the CCD-based film surface defect detection system has the advantages of fast, reliable, and accurate, real-time online detection, automatic alarm, and display the specific information of the current defect for timely processing.

The principle of the precision spectrum measurement and control lithium battery diaphragm stain detection system:

The output of the vision system is not an image or video signal, but a detection result (such as data on defects, dimensions, etc.) after arithmetic processing. Usually, machine vision inspection is to use a machine instead of the naked eye for measurement and judgment. First, a CCD camera is used to convert the captured target into an image signal, which is sent to a dedicated image processing system, and converted into a digital signal according to the pixel distribution, brightness, and color information.

System functions:

Real-time defect calibration, record defect diameter, coordinates, type, and other information; product basic information module, record product batch, model, specification, shift number, operator, and other information; realize defect according to defect shape, area size, gray difference and other characteristics Automatic classification; automatic generation of product defect records for each roll of product, users can directly query according to the batch number; automatic statistics, storage, query, recall, and printing of detection history records.