3C Electronics Industry

  • Detecting Cosmetic Defects

    Scratches, dents, etc.
  • Detecting Dimensional Defects

    Abnormal size, excessive deviations, etc.
  • Detecting Functional Defects

    Battery life, wireless connectivity, etc.
  • Detecting Safety Performance Defects

    Battery overheating, electrical short circuits, etc.
Industry Pain Points
The 3C industry is a sector where technology updates very rapidly, and the speed of product updates and iterations is also very fast. However, due to various reasons in the manufacturing process, such as materials, design, and processing factors, products often have various defects and issues, such as dimensional deviations, material defects, and appearance issues. If these issues are not discovered and resolved in time, they can cause significant losses and impacts for businesses.
Solutions
  • Watch
  • Mobile phone
  • Laptop
  • Pad
  • Mouse
  • Others

Automatic Defect Detection for Watch Microphones

In the field of manufacturing, the trend of miniaturization and complexity of electronic components such as electronic watches, notebooks, and mobile phones has raised higher requirements for the precision, accuracy, and efficiency of industrial quality inspection. The gradually rising labor costs in China have also accelerated the trend of 'machines replacing humans.' The electronic product appearance defect detection system can achieve fully automatic detection of various flaws, both internal and external, including main hole foreign objects, breakage, scratches, deformation, discoloration, rust, etc.
  • Large capacity tray storage,
    can hold 30 tray
  • Modular structure design,
    convenient for maintenance and replacement
  • Industry-first detection mode
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Watch Back Cover Size Detection Equipment

Watch back cover function detection machine, is an integrated UMP, fully automatic intelligent manufacturing equipment, and standardized machine vision system. It uses PCB-controlled special light sources to illuminate, achieving ultra-high precision detection of the semi-transparent area in the center of the watch back cover. Product application case: Watch back cover detection line.
  • Measurement points up to more than 80,
    Measurement accuracy reaches 1um
  • Use of 2D, 3D cameras in combination, multiple stations,
    Multiple angles measured, can be completed in one go
  • Uses high-precision turntable and linear motor as drive,
    high positioning accuracy, easy adjustment
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Watch Back Cover Glass Translucency Testing Integrated Machine

This product is a device specifically designed for the 3C electronics industry to test the functionality of watch back covers. It efficiently performs tests to assess the translucency of the glass on watch back covers. The device accurately measures the ability of light to pass through the watch back cover glass, ensuring that the quality of the glass meets the required standards.
  • CT = 4.5s/pcs
    Fast speed, stable mechanism
  • Unloader with two-part
    BIN mechanism
  • Dual channel, 
    simultaneous multifunctional testing of 8 products
  • Uses Macmini for testing
    and uploads to PDCA
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Watch Back Cover Optical Properties Testing Equipment

This product is a specialized device for the functionality testing of watch BC Assembly  in the 3C electronics industry. It performs translucency tests on watch back covers by comparing the grayscale values under a 940nm light beam using camera photography, determining the products translucency.
  • Uses Macmini for testing and uploads to PDCA.
  • OK/NG Unloading  mechanism.
  • Dual channel, simultaneous multifunctional testing of 8 products.
  • Fast speed, stable mechanism, 
    CT = 4.5s/pcs.
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Watch Back Cover Glass Illumination Testing Equipment

Designed for the functionality testing of watch back covers in the electronics industry, this equipment performs light transmittance tests through its testing program.
  • Uses Macmini for testing and uploads to PDCA.
  • Upper and lower layer loading mechanism, enabling upper and lower layer loading.
  • Single machine can perform simultaneous multifunctional testing of 4 products.
  • Fast speed, stable mechanism, CT = 13s/pcs.
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Battery Composite Film Defect Detection

In response to the manual inspection of mobile phone battery surface quality in the electronics industry, a non-destructive defect detection software for battery surfaces has been developed. Initially, the battery surface undergoes preprocessing operations such as tilt correction, feature area extraction, and character grayscale value modification. The feature areas are then traversed using sub-images based on grayscale density distribution and grayscale difference with an adaptive threshold brightness method, merging defect sub-images with overlapping areas and filtering out regions without obvious defects. Subsequently, a support vector machine multi-class classification method is used to extract the distribution patterns of binary image pixels as training features to identify types of surface defects on the battery.
  • High precision, cam divider
    repeated positioning accuracy of 30 arc seconds
  • Size and appearance can be detected simultaneously.
  • One machine can inspect three types of products,
    accommodating different sizes.
  • Uses quickly interchangeable clips: short loading time,
    and can achieve rapid product switching.
  • Uses quickly interchangeable clips: short loading time,
    and can achieve rapid product switching.
  • Fast speed,
    operates with dual stations, CT 0.75s/pcs.
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Automatic Color Detection for Mobile Phone Buttons

Light sources, lenses, CCD cameras, and image acquisition cards serve as the imaging components of the vision system. The quality of imaging directly affects the accuracy of color difference detection results. A necessary condition for color difference detection is to extract the color characteristics of the mobile phone buttons and apply color difference formulas for calculation. Color theory is the basis for studying color differences. This project has studied several color difference formulas widely used in the industry and compared the advantages and disadvantages of various color spaces. Based on this, algorithms based on different color difference formulas were designed, and color difference detection based on different color spaces was completed, yielding results. Among several algorithms, two with better performance were selected for in-depth discussion. By detecting the color difference of mobile phone buttons made of various materials and colors, the most practical algorithm was determined, which is to preprocess the image of the mobile phone button in the RGB color space, then extract the color feature values, and finally convert to the CIELAB color space to calculate the color difference using the CMC (2:1) color difference formula. Extensive experiments have proven that this method can effectively detect the color difference of mobile phone buttons.
  • Using Lab testing,
    to compensate for the deficiencies of RGB and CMYK
  • Unloader with three-part BIN mechanism
  • 16 nozzles, ,
    synchronously pick up products
    compatible with a variety of products,
    the nozzles have stable sealing
    (the product surface is very small, with curves)
  • Fast speed, stable mechanism,
    CT= 0.7s/pcs
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Full Dimensional Inspection of Mobile Phone Appearance

The watch back cover function detection machine is an integrated UMP, fully automatic intelligent manufacturing equipment, and a standardized machine vision system. It uses PCB-controlled special lighting to achieve ultra-high precision detection of the semi-transparent area at the center of the watch back cover.
  • Measurement points up to over 80,
    measurement accuracy reaches 1um.
  • Uses 2D and 3D cameras in combination,
    multi-station, multi-angle measurement,
    can be completed in one go.
  • Utilizes a high-precision turntable and linear motor
    as the drive, providing high positioning accuracy and easy adjustment.
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Integrated Machine for Airtightness Testing of Mobile Phone Camera Modules

For the waterproof testing of mobile phone camera modules in the electronics industry, the process involves loading materials into a hopper, with a robotic arm picking up 12 pcs of materials divided into three batches for loading, each batch consisting of 4 pcs. The movement process adjusts the spacing to achieve simultaneous loading, airtightness testing, and robotic arm unloading with OK/NG sorting
  • Using an airtightness leak detector,
    simultaneously tests the airtightness of 20 pcs products
  • Automatic loading and unloading of thermoformed trays
  • A single machine simultaneously performs multifunctional testing on 20 products
  • Fast speed, stable mechanism,
    CT = 0.6s/pcs
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Mobile Phone Camera Module Airtightness Testing Integrated Machine

Designed for waterproof testing of mobile phone camera modules in the electronics industry, this machine uses a hopper for loading, a robotic arm to pick up 12pcs in three batches, each batch consisting of 4pcs, with variable pitch during the movement process to achieve simultaneous loading, airtightness testing, and robotic arm unloading with OK/NG bin sorting.
  • Uses airtightness leak detector,
    simultaneously tests the airtightness of 20 pcs products
  • Automatic loading and unloading of suction trays.
  • Single machine can perform simultaneous multifunctional testing of 20 products.
  • Fast speed, stable mechanism,
    CT = 0.7s/pcs
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Mobile Phone Camera Functional Size Inspection Line

For the electronic industrys mobile phone camera module pre-tension + gap detection, product assembly fixtures are supplied, and through the conveyor line and handling module, the product is positioned and clamped, pre-tension and gap detection are performed; the latter stage achieves unloading of suction trays, assembly fixtures return
  • 3D laser detects product gap
  • Uses force sensor and GT probe to measure pre-tension displacement
  • Automatic loading and unloading of suction trays
  • Single machine simultaneously performs multifunctional detection of 24 products
  • Fast speed, stable mechanism, CT = 0.8s/pcs
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Phone Board 2D Defect AOI

Intelligent visual dimension measurement system, developed by Dinnar for defect detection needs such as electronic industry mobile phone components. It is mainly used for dimension detection of metal parts that require defect detection. This system uses visual imaging detection technology to calculate measurement needs such as multiple components, foreign objects, insufficient tin, short circuits, excess glue, insufficient glue, glue offset, and glue overflow
  • Mainly for defect detection of products
  • Strong compatibility: Can be compatible with multiple measurement items detection of the product
  • Stable operation: Daily operation detection of 4k without mechanical failure
  • Fast speed: Using dual-channel, dual-position, and dual-measurement element operation, CT = 18s/pcs
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Mobile Phone Camera Color Deviation Full-Size Inspection Machine

Intelligent visual color and gloss detection system, developed by Dinnar for the electronic industrys needs in portable laptops, Portable, and other structural components appearance inspection. It is mainly used for the color and gloss inspection of large structural components appearance. This system uses colorimeter and gloss meter imaging technology to extract parameters for comparative analysis and identification of the products appearance in terms of color and gloss.
  • Mainly for the detection of product color/color deviation
  • Strong compatibility:
    One machine can detect two types of products, compatible with different product sizes
  • Uses quickly interchangeable clips:
    short loading time, and can achieve rapid product switching
  • Stable operation: runs 22k inspections per day without mechanical faults
  • Fast speed: Uses dual channels and dual stations, CT = 3.2s/pcs
Learn more

Tablet Component Defect Inspection Equipment

This is an intelligent visual dimension measurement system developed by Dinnar for the electronics industry, specifically for portable laptops and thin-walled metal parts inside pads. It is primarily designed to address the dimensional inspection needs for flatness, straightness, and step differences in metal parts. The system utilizes visual imaging detection technology to measure flatness, step differences, positional accuracy, and other dimensional requirements.
  • Compatibility:
    Strong compatibility with multiple measurement items for this product
  • Compatibility:
    Strong compatibility with multiple measurement items for this product
  • Automatic Loading and Unloading:
    Short loading time and capable of quickly switching products
  • Stability:
    Stable operation with 6.5k inspections per day without mechanical faults
  • Fast inspection speed using a dual-channel, dual-station setup sharing one set of measurement elements, saving material handling time, cycle time (CT) = 11s/pcs
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Mini-LED Glue Defect Inspection Equipment

This is an intelligent visual dimension measurement system developed by Dingna for the electronics industry, specifically for portable laptops and Pad Mini LED glue boards. It is primarily designed to address the size and defect inspection needs related to glue width, glue height, offset, and overflow in Mini LED glue boards. The system utilizes visual imaging detection technology to measure parameters such as glue width, glue height, offset, and overflow.
  • Main Inspection Focus: Glue width, glue height, offset, and overflow
  • Compatibility:Compatible with various product sizes
  • Stability:Stable operation with 4.5k inspections per day without mechanical faults

  • Speed:Fast inspection speed with a pass-through inspection method, cycle time (CT) = 18s/pcs

Learn more

Dual Hole Flatness Detection Equipment

The intelligent visual dimension measurement system, developed by Dinnar for the electronics industry, is tailored for flatness detection needs such as portable laptops and Pad screens. It primarily addresses the flatness measurement requirements for metal parts. This system utilizes visual imaging detection technology to calculate flatness and other measurement needs.
  • Mainly detects the flatness of products.
  • Strong compatibility: 
    Can accommodate multiple measurement items for this product.
  • Stable operation: Performs 5k inspections daily without mechanical failures.
  • Fast speed: 
    Utilizes a dual-channel, dual-station setup sharing a set of measurement elements,
     saving time on loading and unloading personnel, CT = 15s/pcs.
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Rolling Laptop BC/TC/DH Dimension Measurement Machine

For the dimension control of laptop TC in the electronics industry, a non-contact visual measurement software for laptop TC has been developed. Initially, a coordinate system is established based on the product drawings. Then, photos are taken at specified positions in the product coordinate system according to the measurement points. Subsequently, image processing algorithms are used to extract features, and finally, dimensions are calculated based on the corresponding positions. This device combines 2D and 3D dimension measurements into a single unit, achieving high-precision measurement of full dimensions.
  • High precision:
     Visual detection precision is at the micron level, 
    achieving a relevance of 0.01 or less with the customer.
  • Both 2D and 3D dimensions can be simultaneously detected.
  • Strong compatibility: 
    One machine can inspect four different color products.
  • Uses software to directly switch product colors, 
    allowing for rapid product switching.
  • Stable operation: 
    Performs 2k inspections daily without mechanical failures.
  • Fast speed: Operates with dual stations, 
    CT = 30s/pcs, CT = 33s/pcs.
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Laptop Appearance Inspection Device

A surface defect non-destructive inspection software has been developed for the manual inspection of notebook surface quality in the electronics industry. Initially, the surface of the notebook shell is roughly positioned by the fixture mechanism. Through the feedback of motor A and B phase encoding, hard triggering of an 8K line scan camera and a high-frequency light source controller are used to achieve time-division strobing. The complete image obtained is divided into multiple equal-sized pictures according to the customer's indicated point position map. Using the JSON+HTTP protocol, the algorithm server is requested to obtain the inference result of a single image. Finally, the product surface defect types are obtained through sample-level result queries.
  • The accuracy rate is high, with a miss and overkill rate of less than 5%.
  • Intelligent detection of various types of appearance defects.
  • Strong compatibility:
    one machine can detect multiple products and is compatible with different product sizes.
  • Quickly interchangeable clips: 
    short loading time and can quickly switch products
  • Stable operation: 
    runs 5k inspections per day without mechanical faults
  • Fast speed: uses dual stations,
    with a cycle time (CT) of 15s/pcs.
Learn more

Universal Platform for Tablet Computer Appearance Defect Detection

This platform can detect defects in components such as the back cover of tablet computers, the top cover of computers, the bottom cover, and the keyboard surface. By using high-precision imaging technology and intelligent analysis algorithms, the platform can accurately detect appearance defects in tablet computers, such as scratches, dents, bubbles, etc., and quickly identify and classify defect types, reducing the workload of manual inspection and improving the accuracy and efficiency of defect detection. The platform is mainly applicable to the computer and tablet computer manufacturing industry, helping enterprises to improve production efficiency, reduce the rate of defective products, improve product quality, and customer satisfaction.
  • Strong universality
  • High-precision imaging
  • Intelligent analysis algorithms
  • Cost reduction
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Backlight Panel Size and Contour Detection

In response to the high difficulty of size detection after the assembly of backlight panels in the electronics industry, backlight panel size and contour detection software has been developed. The process begins with preprocessing operations such as tilt correction, feature area extraction, and character grayscale value modification. Then, by using an adaptive threshold brightness method based on grayscale density distribution and grayscale difference, the feature area is traversed with sub-images, merging defect sub-images with overlapping areas and filtering out regions without obvious defects. Subsequently, a support vector machine multi-class classification method is used to extract the pixel distribution patterns of binary images as training features to identify the types of backlight panel defects.
  • Size and appearance can be detected simultaneously
  • Strong compatibility: one machine can detect five products,
    compatible with different product sizes
  • Stable operation: runs 11k inspections per day without mechanical faults
  • Fast speed:CT =6.5s/pcs 
Learn more

Tablet Component Defect Inspection Equipment

This is an intelligent visual dimension measurement system developed by Dinnar for the electronics industry, specifically for portable laptops and thin-walled metal parts inside pads. It is primarily designed to address the dimensional inspection needs for flatness, straightness, and step differences in metal parts. The system utilizes visual imaging detection technology to measure flatness, step differences, positional accuracy, and other dimensional requirements.
  • Compatibility:
    Strong compatibility with multiple measurement items for this product
  • Compatibility:
    Strong compatibility with multiple measurement items for this product
  • Automatic Loading and Unloading:
    Short loading time and capable of quickly switching products
  • Stability:
    Stable operation with 6.5k inspections per day without mechanical faults
  • Fast inspection speed using a dual-channel, dual-station setup sharing one set of measurement elements, saving material handling time, cycle time (CT) = 11s/pcs
Learn more

Mini-LED Glue Defect Inspection Equipment

This is an intelligent visual dimension measurement system developed by Dingna for the electronics industry, specifically for portable laptops and Pad Mini LED glue boards. It is primarily designed to address the size and defect inspection needs related to glue width, glue height, offset, and overflow in Mini LED glue boards. The system utilizes visual imaging detection technology to measure parameters such as glue width, glue height, offset, and overflow.
  • Main Inspection Focus: Glue width, glue height, offset, and overflow
  • Compatibility:Compatible with various product sizes
  • Stability:Stable operation with 4.5k inspections per day without mechanical faults

  • Speed:Fast inspection speed with a pass-through inspection method, cycle time (CT) = 18s/pcs

Learn more

Glass Flatness Detection Integrated Machine

The intelligent visual dimension measurement system, developed by Dinnar for the electronics industry, is designed for flatness, color difference, and transmittance testing needs of portable Pad CG glass and similar products. It primarily addresses the flatness, color difference, and transmittance testing requirements for CG glass. This system uses visual imaging detection technology to calculate flatness, color difference, and transmittance testing needs.
  • Automatically scans codes, compatible with different products, enabling non-stop loading and unloading.
  • Mainly detects the flatness of products.
  • High precision: Minimum detection precision reaches 0.01mm.
  • Stable operation: Performs 15k inspections daily without mechanical failures,
    CT =5s/pcs 
  • Strong compatibility: 
    Can accommodate detection of both sides of the product,
    allowing switching between different detection positions.
Learn more

Dual Hole Flatness Detection Equipment

The intelligent visual dimension measurement system, developed by Dinnar for the electronics industry, is tailored for flatness detection needs such as portable laptops and Pad screens. It primarily addresses the flatness measurement requirements for metal parts. This system utilizes visual imaging detection technology to calculate flatness and other measurement needs.
  • Mainly detects the flatness of products.
  • Strong compatibility: 
    Can accommodate multiple measurement items for this product.
  • Stable operation: Performs 5k inspections daily without mechanical failures.
  • Fast speed: 
    Utilizes a dual-channel, dual-station setup sharing a set of measurement elements,
     saving time on loading and unloading personnel, CT = 15s/pcs.
Learn more

Laptop Appearance Inspection Device

A surface defect non-destructive inspection software has been developed for the manual inspection of notebook surface quality in the electronics industry. Initially, the surface of the notebook shell is roughly positioned by the fixture mechanism. Through the feedback of motor A and B phase encoding, hard triggering of an 8K line scan camera and a high-frequency light source controller are used to achieve time-division strobing. The complete image obtained is divided into multiple equal-sized pictures according to the customer's indicated point position map. Using the JSON+HTTP protocol, the algorithm server is requested to obtain the inference result of a single image. Finally, the product surface defect types are obtained through sample-level result queries.
  • The accuracy rate is high, with a miss and overkill rate of less than 5%.
  • Intelligent detection of various types of appearance defects.
  • Strong compatibility:
    one machine can detect multiple products and is compatible with different product sizes.
  • Quickly interchangeable clips: 
    short loading time and can quickly switch products
  • Stable operation: 
    runs 5k inspections per day without mechanical faults
  • Fast speed: uses dual stations,
    with a cycle time (CT) of 15s/pcs.
Learn more

Intelligent Roller Assembly Line

Currently, in mouse manufacturing enterprises, the roller assembly process has always been manually operated, with product quality relying on manual labor. To address this, an intelligent automatic roller assembly line has been developed, achieving fully automated production of roller assembly, significantly ensuring product quality stability while greatly alleviating labor issues for enterprises.
1. Achieves automatic feeding of all parts, automatic assembly of rotors, weak magnetic stators, O-rings, brackets, foam, etc.
2. Implements automatic gluing, oiling, automatic testing, and automatic offloading of finished products.
  • The equipment operates stably with good product quality.
  • CT ≤ 12s, production capacity is comparable to manual assembly lines.
  • Online automatic testing, automatic offloading of finished products.
  • Achieves fully automatic assembly of roller parts.
  • First in the industry to achieve fully automatic intelligent assembly of mouse rollers.
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Monocrystalline Wafer Cutting Blade Defect Detection

This equipment is mainly used for high-precision product tracking and detection, achieving the detection of notches over 1um on circular blades, with a detection accuracy of depth 1um and width 5um. The equipment is equipped with functions such as barcode scanning recognition and sample cleaning before detection, which realizes product tracking and positioning, avoiding the impact of dirt, foreign objects, etc., on the accuracy of detection.

The equipment is equipped with adjustable fixtures, enabling the detection of products ranging from 40-130mm. This device provides a good solution for multi-model, high-precision detection products in the 3C industry, daily necessities industry, and others.
  • Automatically cleans the product tooling before each detection,
    to avoid secondary contamination
  • Complies with ergonomic design,
    easy for personnel to operate, improving work efficiency
  • Uses the Findline tool for precise measurement,
    capable of detecting defects up to 8um
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Online PCB Visual Inspection Machine

PCBs are indispensable precision components in electronic products. Their quality directly affects the performance of the products. Therefore, quality inspection during the PCB production process is very important. PCB visual inspection is a crucial part of quality inspection, demanding high accuracy, efficiency, and speed. The internal processes of printed circuit boards are complex. In addition to core board structural lamination, drilling, and wiring, considerations such as embedded components, surface finishing, cleaning, and etching are also necessary. Traditional PCB inspection methods using the human eye are prone to missing defects, slow, and time-consuming. They have strict environmental requirements and are not suitable for hazardous work environments.
  • Embedded Deep Learning Algorithm
  • Adjustable conveyance speed:
    0 - 10 m/min
  • Defect type size detection:
    Minimum size 0.5*0.5mm
    (Visual accuracy 0.1*0.1mm)
  • Detection speed can reach 10 pieces/minute
  • Capable of inspecting both sides simultaneously,
    no need to flip for inspection
  • The thinnest board that can be inspected is 40 thickness,
    without issues like board jamming
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Software platform

Vision One Visual Development Platform

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Consultation Contact Us

  • Phone

    0512-66957689
  • Address

    No. 11 Tingxin Street, Industrial Park, Suzhou
  • Email

    info@dinnar.com