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Machine Vision System | BE-R Series | Ring Light Source | DISORIC
German manufacturer DISORIC (First General Machinery Co., Ltd.) | 18 years as the sole distributor | PLC engineering technology with practical engineering experience | Machine vision systems | BE-R series | Ring light source
The BE-R ring light is used for shadowless illumination of the object being inspected.
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Machine Vision System | BE-R Series | Ring Light Source | DISORIC
- BE-R ring lights are used for shadowless illumination of inspected objects. These ring lights ensure symmetrical lighting around the camera lens and are used for surface and contour inspection. They are available with various beam angles, application-specific color temperatures, and mounted diffusers and polarizers.
- The LED beads are arranged in a ring at a certain angle to the central axis, and come in different types with different illumination angles and colors, which can highlight the three-dimensional information of objects; solve the problem of shadows in multi-directional lighting; and a diffuser can be selected to make the light diffuse evenly when there are shadows in the image.
- Applications: Screw size defect detection, IC positioning character detection, circuit board solder inspection, microscope illumination, etc.
Leveraging the expertise of FGT's engineering team in AI (Artificial Intelligence) and BI (Big Data), we can quickly assist you in building an AI+AOI system solution.
No need to hire professional human resources personnel; the driving force behind commissioned projects to create mobile-enabled machine vision platforms.
Advantages and characteristics
Ring light source with switchable and stabilized light
These switchable constant-on ring lights are compatible with 24VDC power supplies. They provide constant light intensity over a wide voltage range and feature functions such as trigger reversal and brightness adjustment.
- High lighting intensity, derived from state-of-the-art High-Power-LED
- Very compact form
- Achieving a long service life through intelligent thermal management
- Uniform lighting
- Protection rating IP 67
- Sturdy metal casing
The ring light source can flash externally
- High overcurrent coefficient
- Pulse operation used to inspect fast-moving targets
- Extremely bright, used for high depth of field
- Achieving a long service life through intelligent thermal management
- Uniform lighting area
- High protection rating IP 67
- Sturdy metal casing
Ring light is suitable for a variety of different image processing tasks, and is most often used as a bright-field configuration to detect matte, non-reflective materials.
Application examples:
Suitable for product appearance packaging and label inspection; PCB substrate inspection; IC component inspection, etc.


Types and characteristics of LED light sources
1. Ring light source
Offering different illumination angles and color combinations to better highlight the three-dimensional information of objects; high-density LED array for high brightness; various compact designs to save installation space; solves the problem of shadows from diagonal illumination; optional diffuser plate for uniform light diffusion. Applications include PCB substrate inspection, IC component inspection, microscope illumination, LCD calibration, plastic container inspection, and integrated circuit marking inspection.
2. Backlight
High-intensity backlighting with a high-density LED array effectively highlights the shape and contours of objects, making it particularly suitable as a microscope stage. Dual-use (red/white) and multi-use (red/blue) backlights can be configured to produce different colors to meet the multi-color requirements of various measured objects. Applications include dimensional measurement of mechanical parts, shape inspection of electronic components and ICs, detection of film stains, and scratch detection on transparent objects.
3. Bar light source
It is the preferred light source for test objects with large square structures; the color can be customized and freely combined according to requirements; the illumination angle and installation are adjustable. Applications include metal surface inspection, image scanning, surface crack detection, and LCD panel inspection.
4. Coaxial light source
It can eliminate shadows caused by uneven object surfaces, thereby reducing interference; part of it adopts a beam splitter design to reduce light loss, improve image clarity, and uniformly illuminate the object surface. It is best suited for scratch detection on highly reflective objects, such as metal, glass, film, and wafer surfaces; damage detection of wafers and silicon wafers; mark point positioning; and packaging barcode recognition.
5. AOI dedicated light source
It features tri-color light illumination from different angles, which can highlight the three-dimensional information of the solder; an additional diffuser board guides the light and reduces reflection; different angle combinations; applicable to circuit board solder inspection.
6. Spherical Integral Light Source
The hemispherical inner wall, with its integrating effect, uniformly reflects light emitted from the bottom 360 degrees, resulting in highly uniform illumination across the entire image. It is applicable to the inspection of curved surfaces, uneven surfaces, arc-shaped surfaces, or highly reflective surfaces such as metals and glass.
7. Linear light source
Ultra-high brightness, using cylindrical lenses for light focusing, suitable for various continuous detection applications on production lines. Dedicated for array camera illumination and AOI (Automated Optical Inspection) applications.
8. Point light source
High-power LEDs, small in size and high in luminous intensity; a replacement for fiber optic halogen lamps, particularly suitable as coaxial light sources for lenses; high-efficiency heat dissipation device significantly extends the lifespan of the light source. Suitable for telecentric lenses, used for wafer inspection, mark point positioning, and wafer and LCD glass substrate calibration.
9. Combined bar light source
With four-sided strip lighting, each side's illumination is independently controllable; the required illumination angle can be adjusted according to the object being tested, making it widely applicable. Applications include PCB substrate inspection, IC component inspection, solder joint inspection, mark point positioning, microscope illumination, packaging barcode illumination, and spherical object illumination.
10. Alignment light source
It is a dedicated light source for alignment on fully automatic circuit board printing machines. The alignment light source is fast, has a wide field of view, high precision, small size, is convenient for detection and integration, has high brightness, and can be equipped with an auxiliary ring light source.
What is machine vision?
What are the principles of visual recognition?
Machine vision (MV) refers to an imaging-based method for automated inspection and analysis, widely used in industrial automation inspection, process control, and robot guidance. It encompasses various technologies, software and hardware products, integrated systems, motion, methods, and expertise. As a system engineering discipline, machine vision is considered distinct from computer vision, which belongs to computer science. It attempts to integrate existing technologies in new ways and apply them to practical problem-solving. The entire machine vision process includes planning requirements and project details, followed by solution development. During system execution, imaging begins, followed by automated image analysis and extraction of necessary information.
Main application areas
Machine vision technology is widely used in industrial production and automation scenarios:
- Automated Optical Inspection (AOI): Detects defects, flaws, or incorrect assembly on the surface of a product.
- Quality control: Ensure that the product size, shape, or color meets the standards.
- Positioning and guidance: Guiding the robot to accurately grasp, place, or assemble parts.
- Identification: Reading barcodes, QR codes, text, or identifying objects.
- Measurement: To perform precise, non-contact dimensional measurements of an object.
Difference from Computer Vision
Although the two are closely related and their technologies overlap, their focuses are different:
Machine vision: focuses more on practical applications in industrial automation, emphasizing system integration, stability and efficiency to solve specific engineering problems.
Computer vision: focuses more on theoretical research and algorithm development. It is a branch of artificial intelligence and aims to enable computers to "understand" image content and simulate the complex visual cognitive abilities of humans.
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Automated Optical Inspection (AOI) is a high-speed, high-precision optical imaging inspection system that uses machine vision as the standard inspection technology. It improves upon the shortcomings of traditional manual inspection using optical instruments. Its applications range from R&D and manufacturing quality control in high-tech industries to defense, consumer goods, medical care, environmental protection, power, and other fields.
Automated optical inspection is a common and representative method in industrial processes. It uses optical instruments to obtain the surface condition of finished products, and then uses computer image processing technology to detect defects such as foreign objects or pattern anomalies. Because it is a non-contact inspection, it can be used to inspect semi-finished products in intermediate processes. High-precision optical image inspection systems encompass fields such as measurement lens technology, optical illumination technology, positioning measurement technology, electronic circuit testing technology, image processing technology, and automation technology applications. Its development and application not only meet the needs of high-tech industry development, but its technology can also be extended to the defense and military industry. For example, the manufacturing of military weapons, night vision combat systems, and the analysis and assessment of strategic terrain features are all closely related to this imaging technology.
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