What can affect the detection performance of visual inspection equipment?

Time: 2023-07-14

With the rapid development trend of industry and the popularization of machine vision inspection equipment, people have gradually introduced visual effect inspection equipment. The application of machine vision inspection equipment can reasonably improve inspection efficiency, save manpower, reduce product costs, and ultimately increase economic benefits.

Little did they know that many processing factories and companies nowadays buy back testing machines and equipment, and due to the lack of work experience of actual operators, small problems often endanger the actual effectiveness of testing machines and equipment in the production process.

1、 Model selection for hardware configuration
A smooth image SVM algorithm is a prerequisite for image analysis and recognition technology, ensuring that a smooth image is transmitted to the image processing management center to ensure the accuracy of mobile software in solving images. Many factors can jeopardize the reliability of imaging, such as the surrounding environment, object transformation, and the harm of visual effects hardware configuration.

What can harm the actual performance of visual effect testing machines and equipment- Machine vision_ Visual effect detection machine equipment_ 3D visual effects_ Defect detection

The model selection of hardware configuration for visual effect detection is a challenging task, and it requires technical engineers to have a thorough understanding of both the hardware configuration itself and the hardware configuration dealer, as well as sufficient experience in model selection. The machine vision system software that operates in the laboratory and the system software that operates in specific scenarios in the work are different from the natural environment of heaven and earth.

Machine vision inspection Machine equipment defect detection Machine equipment sorting equipment

Visual effect detection includes key components such as light sources, lenses, cameras, image acquisition cards, data transmission, image processing, and measurement mobile software. With the improvement of the characteristics of each component, the working ability of machine vision system software also increases exponentially. The complexity of system software lies in special application requirements. When selecting good components, it is not only necessary to consider whether the characteristics of the components can meet the requirements (such as screen resolution, frame count, measurement optimization algorithms, etc.), but also to consider the natural environmental standards in which the system software is located. For example, in the industrial industry, this natural environmental standard includes component transformation, load transfer, precise positioning, addressing sockets, vibration, light, temperature, dust, oil stains, water, electromagnetic radiation, etc. Under extreme standards, it is sometimes necessary to add safeguard measures to machine vision components. Typical examples include cameras that must be applied in relatively clean natural environments. However, in general, industrial natural environments can achieve immediate application of industrial cameras.

Even a very stable visual recognition system often results in unsatisfactory results due to external hazards, such as vibration causing blurry and out of frame images, while variable parts can result in different images. Long shutter speeds can cause out of frame sharpness of fitness objects.

2、 Hazards to the natural environment
The harm of natural environment to machine vision hardware configuration not only refers to the destructive nature of the hardware configuration itself, but also poses a threat to the actual measurement effect. For example, in natural environments with temperature changes, the vast majority of industrial cameras can operate between -5 degrees and 65 degrees. In specific natural environments, excessively high temperatures usually produce noise in the camera's imaging. However, this can be improved by improving the light distribution method to improve frequency stability.

In addition, temperature can harm the characteristics of LED light sources, and as the LED temperature increases, its chromaticity decreases. This can be compensated for by the chromaticity output based on the light source control board. The heat generated by the conversion of LED itself can accelerate embrittlement and even immediate damage, therefore excellent thermal design is necessary.

Other components may also have corresponding temperature limits, such as industrial control boards/embedded PCs, which can generally be used in industrial natural environments. However, without a fan, it is highly likely that the PC will also be damaged. In order to better ensure the reliability of visual effects imaging, in addition to selecting a good hardware configuration, everyone also needs to consider the sensitivity of the tested object to temperature. For example, metal objects have thermal expansion and contraction due to temperature, so when measuring such objects, both length and volume will change.

shock
The vast majority of industrial cameras have been equipped with shockproof solutions, and intelligent robots and railway cables can effectively prevent camera movement and vibration hazards. The locked RF connector can prevent the camera from being shaken. Durability PCs and embedded computers have a very good stable maintenance system. The focusing lens uses a metal material socket to lock the screws, ensuring that they are not subject to vibration hazards. The color filter maintains the lens to a certain extent.

light
A daily color filter can to a certain extent prevent harm from light, and it can change the information content of the light source entering the sensor. By adjusting the brightness of the application to match the light source, reducing the shutter speed of the sensor and reducing the focal length, the harm of light can be minimized. The use of cameras with wavelengths such as infrared light to measure can reduce the harm of visible light.

What can harm the actual performance of visual effect testing machines and equipment?

Dust, stains, water
Many cameras can guarantee an IP65/67 waterproof rating, ensuring anti fouling and moisture resistance. Dust, stains, liquids, and vapors usually adhere to the surface of LEDs or lenses, posing a hazard to imaging. Can adjust the output of LED based on improving the gain value of the camera, image processing of mobile software, and adjustment.

Many environmental factors can cause harm to imaging, and this harm can be enormous, as images are the key reference for measurement.

If you are likely to use machine vision level service support in your industrial production line, why not have a chat with Jiaheng Optoelectronics? We will first design a plan that suits you from a technical professional perspective based on your needs analysis report. Then, we will seek your suggestions and discuss in detail. Even if we cannot cooperate strategically, we are looking forward to getting to know more friends.