The GS2000 can acquire an image of a single wooden board in 0.5 seconds. In image processing and analysis, it uses a neural network classifier and a Bolb module. The neural network is the core of defect detection and classification, and the Bolb can further highlight defects such as holes, cracks, breaks, stains, and gaps, effectively improving the processing efficiency and reliability of the neural network.

1. When imaging, the laser light is projected onto the wheel in a uniform line to ensure that the image has a constant brightness.
2. To ensure that the camera receives enough laser light, a high exposure time is required. This can easily lead to stray light from the environment being mixed into the image, but Matrox MIL can effectively remove noise from the image and extract the necessary details.
3. Handheld high-precision instrument testing has shown that TreadVIEW can achieve an accuracy of 0.5mm on moving vehicles, with a single image inspection time of approximately 0.5-1 seconds. In terms of specific implementation data, if ±0.5mm measurements can be made within a ±10mm field of view, the system will be able to accurately recommend whether immediate or future remedial action is needed.

Teledyne DALSA's Sherlock machine vision inspection software and multiple industrial cameras can be used for real-time online inspection of glass bottles to remove bottles with bubbles.

Using industrial cameras and computer vision inspection, the dashboard is measured for height.

Allied Vision Manta cameras comply with the GigE Vision communication protocol and support GeniCam functions. They can be cascaded to connect multiple cameras for 360° full inspection without dead angles. This case uses 12 Allied Vision Manta industrial cameras to set up 6 inspection stations to perform defect inspection of screws and fasteners used in automobiles or aerospace. The imaging speed is fast, and up to 500 can be detected per minute.

Four AVT Prosilica GC1290C cameras are used to inspect raisins and sort them by appearance and size before packing them in boxes.

1. ProVision Vision System combines visual measurement and automation to enable large-scale production.
2. The system uses five Dalsa line scan cameras to process an area of up to 21” x 25” with a resolution of 5um/pixel. It can inspect and measure over 60 different electronic components on a PCB board per second.
3. When the image is first acquired, each camera will first locate a reference point and measure the overall grayscale value of the PCB to facilitate subsequent image binarization and size measurement. The image analysis and processing can all be done through the computing power of the Matrox image card to reduce the processing on the PC.

The system is able to first take pictures of the parts, and then create a model (Golden sample) based on them. Then, it can use this as a reference to identify and align the same parts, and at the same time perform dimensional measurements. The parts that are inspected and measured can be used for assembly; the abnormal ones are first sent back to the parts storage area.

Matrox MIL10 SureDotOCR™ character recognition tool is specially developed for challenging dot matrix text printed by inkjet and dot printers. It can be calibrated according to the specified dot size, and can be used for text distortion, uneven background and different light conditions. Recognition.

With simple drag-and-drop modules, you can easily create flowcharts to guide the arm for sorting and packaging.

Matrox DA software enables real-time positioning on the production line, allowing for a variety of related inspection applications, including appearance and dimensional measurement, hole detection, hole size inspection, and product counting.

Matrox DA4.0 software uses a flowchart-based user interface, allowing users to easily perform bottle inspection tasks through the built-in software development kit (SDK), including liquid level detection, cap, safety ring, and label height detection.

1. The system uses three Allied Vision Guppy F-146B cameras to inspect IC wire bonding.
2. The system can count the number of wire bonds, measure their height, and detect any breaks.

The software can quickly locate and read solid text in images, and can tolerate a certain degree of tilt and contrast changes. It is flexible enough to overcome the problem of character building and background blur. On the other hand, if the text is clear enough, String reader will perform the detection, and if the text is accidentally covered, Matrox DA can also automatically switch to the existence/non-existence inspection mode, which can effectively respond to changes in the production line.

The machine can quickly inspect cups and check for defects. It has four stations to inspect the right side, left side, bottom, and mouth of the cups to ensure their integrity.

1. Matrox Imaging's software, hardware components and deep learning systems use deep learning technology to expand the field of image processing. Through systematic construction, it greatly saves cost, time and manpower, and at the same time greatly improves product quality.
2. By collecting more than 8,000 images of parts, manually marking and classifying them as OK and NG, the team used the interactive environment of MIL CoPilot to train and build models, and finally imported the models into Matrox DAX for automatic classification of new images.

This vision system can be connected to the factory's main PC system via a local area network, which facilitates the management of user login, real-time images, defect images, and system settings. Images can also be automatically stored on the main PC, providing quality assurance and other departments with an intuitive user interface with a touch screen. It can be used to monitor and control production data and inspection conditions, and to obtain information such as inspection results and error reports.

The "Digital Twin AI Inspection System" has a set of identical automated systems in both the real world and the metaverse, which operate in real time synchronization. The inspection system uses two vision cameras, one of which is paired with AI inspection software to perform defect detection. The other camera integrates a robotic arm and conveyor belt tracking system to accurately pick up moving PCBs and sort them into OK or NG areas based on the AI inspection results.

In addition to solving the original packaging direction and counting problems of the manufacturer, this vision inspection system also identifies many other errors, including: juice box skew, missing, crushed, dropped, rotated or redundant, missing products after whole box packaging , inverted or inverted, damaged labels, etc.

Epic Systems, a major system integration company, has integrated the Matrox MIL vision library to develop an OCR machine vision system that has been deployed in the manufacturing site of a major food manufacturer. This vision system will instantly identify whether the expiration date on the bottle is correct, and instantly remove the incorrect bottles to prevent defective products from entering the market.

1. Measure various features of turbine blades
2. Inspect blades for defects and flaws
3. Verify that the characters on the parts are correct