Machine Vision inspection of display panel

The ITO line inspection scheme can be widely applied in fields such as TFT-LCD industry, touch screen industry, photovoltaic industry, and LED industry, achieving rapid detection of ITO lines, silver paste lines, etc. on glass substrates or flexible substrates (PET, CPI, etc.). It can detect scratches, short circuits, open circuits, micro breaks, foreign objects (dirt), corrosion, burrs, etc. in the production process of TFT-LCD lines at various stages, which can improve the yield of production lines and the process control ability of manufacturers, and reduce cost consumption.   Solution Features Optical+Algorithm Independent intellectual property micro level high-precision high-speed optical imaging system, which eliminates interference from dust and micro particles on the top layer of the TFT-LCD to ensure imaging quality; The core algorithm for defect detection with proprietary intellectual property rights and AI deep learning re evaluation algorithm are at the forefront of the industry. Shock resistant+fast laser autofocus Innovatively adopting an I-shaped seismic scanning mechanism and a marble seismic platform to achieve stable operation; Adopting fast laser autofocus, it is not afraid of detecting object warping and deformation. Original backend automatic report analysis system Visualize data backup and data traceability, automatically implement image classification, facilitate user queries and audits; Original backend automatic report analysis system, realizing report output and quickly submitting problem solutions for users; Quickly filter out ITO circuit defects in products to reduce customer complaints and cost waste. Meet personalized needs Programming is simple, fast, easy to configure, and a fast secondary development platform that can meet the personalized needs of different customers.

A foreign object detection solution based on visual and image processing technology, as an important means of product quality control, is mainly used before or after the COG/FOG process of LCD screens to detect defects such as foreign objects, corrosion, and scratches, and avoid defective products flowing out of the next process.     Solution Features Optical+Algorithm Independent intellectual property micro level high-precision high-speed optical imaging system, which eliminates interference from dust and micro particles on the top layer of the LCD screen to ensure imaging quality; The core algorithm for defect detection with proprietary intellectual property rights and AI deep learning re evaluation algorithm are at the forefront of the industry. Fast laser autofocus+high-speed motion stable working platform Innovatively adopting an I-shaped seismic scanning mechanism and a marble seismic platform to achieve stable operation; Adopting fast laser autofocus, it is not afraid of detecting object warping and deformation. Original backend automatic report analysis system Visualize data backup and data traceability, automatically implement image classification, facilitate user queries and audits; Original backend automatic report analysis system, realizing report output and providing users with quick submission of problem solutions. Meet personalized needs Programming is simple, fast, easy to configure, and a fast secondary development platform that can meet the personalized needs of different customers.

  Using infrared and differential interferometry techniques, a line scan camera is used to optically image the Bump area on the COG and FOG of the liquid crystal panel. The images are analyzed using traditional image algorithms and AI deep learning algorithms to ultimately confirm whether the target detection object is qualified. Used to detect the indentation of ACF conductive particles and bonding foreign objects on the COG and FOG parts of the LCD panel bonding section, including the quantity, distribution, indentation strength, offset, and various foreign objects of the conductive particles.     Solution Features Differential interference microscopy imaging DIC differential interference fiber imaging - clearer and stronger stereoscopic effect. Fast laser autofocus Laser autofocus can solve the problem of warping of the measured object. High speed motion stable workbench The I-shaped seismic scanning mechanism and marble seismic platform ensure smooth operation.   AI deep learning re evaluation Using AI artificial intelligence systems based on deep learning for re evaluation, reducing false alarm rates and improving detection accuracy.

In actual production, LCD screens are cut into different shapes according to design requirements, as well as during cleaning, transportation, and other processes, which can easily cause defects such as cracks, shells, broken edges, and corners at the edges. These defects are generally very small, and the cutting edges are easily affected by uneven lighting, grayscale gradients, and cutting shapes, making edge defect detection difficult. Defects may cause LCD screen breakage and electrode damage during subsequent production and use, which will become quality hazards. It is necessary to promptly remove defective products through testing equipment to avoid them flowing into downstream processes and wasting material and labor hours. The LCD screen edge inspection machine developed and produced by Fuxin Optoelectronics based on machine vision and AI artificial intelligence technology integrates light, machine, electricity, software, and algorithms. It is mainly used for automatic detection of edge defects in the LCD screen production process, achieving machine replacement.     Solution Features Optical imaging system High precision and high-speed optical imaging system with independent intellectual property rights ensures high-quality edge imaging. Defect detection core algorithm+AI deep learning re evaluation algorithm The core algorithm for defect detection with proprietary intellectual property rights and AI deep learning re evaluation algorithm are at the forefront of the industry. Object detection algorithm By using deep learning based object detection algorithms, defects can be accurately identified, located, and quantified, improving defect detection rates and yield rates, reducing customer complaints and cost waste. Earthquake resistance Innovatively adopting an I-shaped seismic scanning mechanism and a marble seismic platform to achieve stable operation.

The glass cover of a mobile phone is the outermost glass of the touch screen. With the rise of smartphones, glass covers are widely used in the electronics industry. They are attached to the surface of touch screens to protect the screen and beautify products. The automatic detection of cover plate defects is considered a technological bottleneck that has plagued the industry for many years in the field of smartphones. Surface defect detection of products requires high detection accuracy and reliable lighting effects to ensure it. Especially the difficulty of detecting the glass of the phone cover after lamination is greater.   The glass cover detection solution can detect white film and silk screened covers, and is compatible with 3D glass cover detection. It can also perform defect detection on car glass screens and LCD screens.     Solution Features Compatible with 3D glass cover detection   High resolution High resolution linear array camera, equipped with high-resolution line scanning objective lens, the field of view width can be determined according to resolution requirements, high resolution can improve detection accuracy; See the effect of 'defects' By designing a special angle light source and controller, a product can obtain multiple images with different angles and brightness, successfully simulating various light angles and perspectives during manual visual inspection, presenting defects in the image, truly achieving the effect of "seeing" defects, and providing rich raw materials for image algorithms in later machine vision inspection software.。 Servo motor drives rubber wheel conveyor line to transport materials Ensure that the material movement speed is relatively stable, and use a line scan camera to capture images during movement.。