Introduction to the visual inspection system, what the visual inspection system can detect

The effect is certainly good. Effectively improve the detection speed and accuracy of the production line, greatly improve the output and quality, reduce labor costs, and prevent misjudgment due to eye fatigue. The visual inspection system is to use an industrial camera instead of human eyes to complete the identification The general visual inspection system is composed of a camera, a lens, and a light source, which can replace manual work to complete the detection of barcode characters, cracks, packaging, whether the surface layer is complete, and depressions.

If you want to know more about it, you can consult Beijing Jiurui Technology, products and services: Beijing Jiurui Technology (hereinafter referred to as "Jiurui Technology") was established in March 2005, located in Zhongguancun High-tech Zone, with a registered capital of 20 million yuan

The visual inspection system uses an industrial camera instead of the human eye to complete the identification. Measurement. Positioning and other functions.

The general visual inspection system is composed of cameras, lenses, and light sources, which can replace manual completion of barcode characters, cracks, packaging, whether the surface layer is complete, dents, etc., and the use of visual inspection system can effectively improve the detection speed and accuracy of the production line, greatly improve the output and quality, reduce labor costs, and prevent misjudgment due to eye fatigue.

Vision inspection systems can inspect many different things and features, including but not limited to:

7.Image registration: Multiple images are registered for comparison or fusion, such as overlaying different scan layers in medical imaging.

9.Defect Detection: Detects defects or errors in a product or manufacturing process, such as surface defects, dimensional deviations, etc.

11.Sign Recognition: Identify traffic signs, trademarks, or other specific markers.

12.Facial expressions: Recognize facial expressions, such as anger, happiness, sadness, etc.

Vision inspection systems can be customized and configured for different application needs, so what can be inspected may vary depending on the situation.

It is mainly 3D visual positioning with high precision and sharpness, connector height detection, and lead 3D visual inspection and travel measurement, three-dimensional visual inspection, and industrial three-dimensional.

Vision inspection systems can be applied in many real-life situations, and here are a few common application areas:

1.Security monitoring: Visual inspection systems can be used to monitor and detect security events, such as intrusion detection, abnormal behavior identification, fire detection, etc. By using cameras and computing the spring boring bucket machine vision algorithm, real-time monitoring and alarm can be made.

2.Traffic management: Vision inspection systems can be used for traffic monitoring and management, such as traffic flow detection, traffic accident detection, and traffic light control. These systems can help transportation authorities better manage traffic flow and improve traffic safety.

3.Medical diagnostics: Vision inspection systems can be used in the medical field for medical image inspection and diagnosis. For example, by analyzing medical images such as X-rays, MRIs, and CT scans, doctors can be helped to diagnose diseases more accurately.

4.Industrial automation: Vision inspection systems can be applied to industrial production lines for product quality inspection, defect detection, and product sequencing. These systems can improve production efficiency and product quality, as well as reduce manual errors.

5.Smart home: Visual inspection systems can be used for human detection and recognition in smart homes. By identifying family members, the system can automatically adjust temperature, lighting, and other equipment settings to provide a personalized living experience.

6.Robot navigation: Vision inspection systems can help robots perceive and navigate their environment. By using cameras and computer vision algorithms, robots can detect obstacles, find target locations, and plan paths.

In summary, vision inspection systems have a wide range of applications in real life to improve safety, efficiency, and convenience. They are becoming an important part of the development of modern science and technology.

Hello, most of the visual inspection systems are still used in industrial systems, and the applications in real life are still relatively narrow.

Usually used in the camera, but it is an industrial phase dust motivating friend machine Industrial lens Paihuai and light source, mainly used to replace manual detection, including but not limited to barcode characters, cracks, packaging, whether the packaging layer is complete, dented, etc., can effectively improve the detection speed and accuracy of the production line, greatly improve the output and quality, reduce labor costs, lead nano and prevent misjudgment due to eye fatigue, etc., you can go to Dingna automation to see if you have any questions about this.

The machine vision system is mainly used in industrial production, which can save a lot of labor and sell resources, and can also carry out high-precision, high-efficiency, and high-stability real-time detection, analysis, and calculation of the inspected items to determine whether the inspected items are qualified, and then automatically reject the defective products. "e.g. object sorting", "image detection", "object measurement", "visual positioning", "image recognition".

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Selecting a machine vision inspection system involves a number of factors, including application scenarios, needs, budget, and more. The following are common machine vision automatic inspection technologies:

Common behavioral recognition methods include methods based on traditional machine learning (such as hidden Markov model, conditional random field argumentation, etc.) and methods based on deep learning (such as LSTM, 3D CNN, etc.).

3.Image segmentation: Image segmentation is a machine vision automatic detection technology that divides an image into multiple different areas or objects.

Common image segmentation methods include methods based on machine learning (such as edge-based, region-growing, etc.) and methods based on deep learning.

4.Feature extraction: Feature extraction is an important part of machine vision automatic detection technology, which is used to extract representative features from images or ** for subsequent classification, recognition and other tasks.

Common feature extraction methods include traditional hand-designed features (e.g., SIFT, HOG, etc.) and deep learning-based methods (e.g., convolutional neural networks).

When selecting the model, it is necessary to select the appropriate machine vision automatic detection technology according to the specific application scenarios and requirements, and consider the relevant algorithm performance, real-time, reliability and other factors. At the same time, it is also necessary to choose the right hardware platform and software tools according to the budget.

Machine vision is the use of machines instead of human eyes to measure and judge. The machine vision inspection system mainly includes Changbi cameras, lenses, light sources, image processing systems and actuators. As an important part of the system, the light source is directly related to the success or failure of the system.

At present, the ideal visual light sources of Jiaming Technology include high-frequency fluorescent lamps, fiber optic halogen lamps, xenon lamps, and LED light sources. The most common application is LED light source. Nainer.

Machine vision technology is an important branch of computer science, which involves many fields such as computer, image processing, pattern recognition, artificial intelligence, signal processing, optics, and machinery. It has a history of more than 30 years. With the development of industrial automation, its function and application scope are gradually improved and promoted.

In particular, the rapid development of technologies such as CCD industrial cameras, smart cameras, image processing and pattern recognition has greatly promoted the development of machine vision systems.

Image acquisition for visual inspection refers to the collection of images of target objects into a computer system for processing and analysis by visual inspection algorithms. Image acquisition typically consists of the following steps:

1.Choose the appropriate image acquisition equipment: Select the appropriate image acquisition equipment, such as cameras and cameras, according to the target object and scene to be collected. The resolution, frame rate, and optical performance of the device will directly affect the quality and effect of image tremor capture.

2.Set acquisition parameters: Set the parameters of image acquisition according to specific needs, such as time, gain, white balance, etc. These parameters affect the brightness, contrast, and color characteristics of the image and need to be adjusted according to the actual situation.

3.Position and angle adjustment: Adjust the position and angle of the acquisition device according to the target object and scene to ensure that the target object can be completely and clearly captured into the image. This may require several trials and adjustments to get the best results.

4.Image acquisition: According to the set parameters and adjusted position, the image acquisition is started.

Acquisition can be performed manually or automatically triggered to acquire a series of continuous or discrete images. In the process of collecting finger front sets, it is necessary to pay attention to avoid problems such as blurry, overexposure or underexposure of images to obtain clear and high-quality images.

5.Image Preservation and Transmission: The acquired images can be displayed in real-time or saved to a computer system.

It is necessary to select the appropriate image format and storage method for subsequent image processing and analysis. If you need to transfer images to other devices or systems for processing, you also need to choose the appropriate transmission method and protocol.

In conclusion, image acquisition for visual inspection is a critical step that directly affects the subsequent image processing and analysis results. Clear and accurate image data can be obtained by reasonably selecting and adjusting the image acquisition equipment, setting appropriate parameters, and adjusting the position and angle in time, thereby improving the performance and effect of the visual inspection algorithm.

Image acquisition in visual inspection is a very important part of the visual inspection system, which directly affects the quality and efficiency of subsequent image processing and defect detection.

Commonly used image acquisition equipment includes industrial cameras, scanners, ordinary digital cameras, etc. Different acquisition devices have differences in resolution, frame rate, optical lens, CCD sensor, time, lighting, etc., and users need to choose the appropriate acquisition equipment according to the actual application scenarios and needs.

When performing image acquisition, the following aspects should also be noted:

Reasonable selection of acquisition distance and angle: the image should be filled as much as possible with the object to be inspected, and at the same time, it is easy to obtain a clear image. Usually, the collection distance is the shortest distance between the inspected item and the lens of the visual inspection equipment.

Control light and shadows: Light-like defilement can have a big impact on image coverage, contrast, and color, so it's important to control light sources well. If there are shadows, reflections, or chromatic aberrations during acquisition, it is also necessary to carefully consider using image processing technology to adjust them.

Image Format and Resolution: In general, for visual inspection, the higher the image resolution, the more defects can be found. However, in some applications that require real-time and speed, it is necessary to properly weigh resolution and speed and make corresponding choices according to actual needs.

Image acquisition speed: Different applications require different image acquisition speeds, in order to ensure the real-time performance of the visual inspection system, image acquisition should be as fast as possible (frame rate Gao Lingchong), so as to achieve the best results.

To sum up, image acquisition in visual inspection needs to be combined with the actual application requirements, from the acquisition equipment, angle, light and other aspects of comprehensive consideration, and by optimizing the image resolution, format, acquisition speed and other factors, the quality and real-time performance of the image can be improved.

Machine vision is the key technology composition of intelligence and the Internet of Things, the machine vision system is divided into two parts: image acquisition and image processing, the image acquisition is the industrial camera and the PC end through the image acquisition card phase transport base elimination knowledge interlink, the image acquisition card receives the analog signal or digital signal of the industrial camera, and the signal processing is converted into information suitable for the PC side.

Relevant parameters of frame grabbers.

Sampling frequency (clock, point rate) MHz: The sampling frequency reflects the speed and ability of the frame grabber to process the image. When entering the image acquisition, it is necessary to pay attention to whether the sampling frequency of the capture card meets the requirements.

Frequency (khz): How many fields (frames) are scanned per second Frequency (Hz, fps): How many fields (frames) are scanned per second

Resolution: The most lattice that the frame grabber can hold reflects the energy of its resolution, that is, the maximum resolution transmission channel of the camera that can be held: the ability of the frame grabber to convert multiple cameras at the same time, such as 2 channels, 4 channels, etc.

4.Transfer rate: refers to the speed at which the image is transferred from the frame grabber to the memory, generally depending on the bus type of the frame grabber.

5.Image format (pixel format): It is divided into image and color image, and the gray level of the image can be divided into 256 levels, that is, it is expressed in 8 bits; Color images can be composed of 3 kinds of colors such as RGB (YUV).

6.Additional functions of the frame grabber: trigger function, light source control function, basic IO function, camera reset function, timing output function, serial communication function, power output function, etc.

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