From screws to mobile phone chips, quality inspection of industrial products has always been the lifeblood of the manufacturing industry. The advancement of CCD visual inspection technology (image sensing technology based on charge-coupled devices) has made quality inspection move from "human eye picking" to "machine eye". In this process, the glass turntable, as a precision rotating stage, has become one of the core mechanisms of automatic testing equipment. This paper takes industrial product inspection as the main line, combined with the technical upgrade of glass turntable equipment, and analyzes the evolution of CCD visual inspection.
(Before the 70s of the 20th century)**
Before the popularization of automation equipment, the inspection of industrial products (such as bearings and gears) relied entirely on manual labor. Workers measure the dimensions with calipers and visually observe the surface for scratches or rust spots. Taking metal gaskets as an example, the detection requires a "thickness error of ±0.1mm", but the manual measurement efficiency is extremely low (about 100 pieces per hour), and the misjudgment rate caused by fatigue exceeds 10%.
The early role of glass turntables:
Automated equipment had not yet appeared, and glass turntables were only used as an aid to manual inspection. For example, workers place metal spacers on glass turntables to observe the internal structure using their light transmission, but they still need to be manually rotated and positioned.
(1970s-1990s)**
With the acceleration of industrial production lines, photoelectric sensors and mechanical conveyor belts have begun to replace some of the labor. For example, in electronic component inspection, a conveyor belt sends the product to the inspection station, and the photoelectric sensor determines whether the component is present or in the correct position.
The first generation of glass turntable equipment:
In precision inspection scenarios (such as clock gears), the first generation of automation equipment introduced glass turntables as rotating stages. By driving the glass turntable with a motor, workers can quickly observe the product from multiple angles, but still need to manually record the data.
Pain points: single detection dimension (size and presence only), unable to identify complex defects (such as virtual soldering of solder joints of electronic components).
(1990s-2010s)**
The commercialization of CCD image sensors, such as Sony industrial cameras, has revolutionized the logic of quality inspection. By digitizing product images, computers can automatically analyze defects.
Breakthroughs in industrial product testing:
Complex Defect Identification: The CCD system can detect pin skew, solder joint bubbles, etc. of electronic components with an accuracy of 0.02mm.
Upgrade of glass turntable equipment:
high-speed glass turntable (adjustable speed) is linked with CCD camera. For example, when detecting a mobile phone camera module, the turntable drives the module to rotate, and the CCD captures images from multiple angles to ensure no dead end detection.
Efficiency leap: The detection speed has been increased from 500 pieces per hour to 5-10 pieces per second, and the missed detection rate is less than 2%.
Classic case: In the circuit board inspection of the iPhone in 2007, Foxconn used "CCD+glass turntable" equipment to reduce the soldering defect rate from 8% to 0.5%.
(2010–present)**
Traditional CCDs rely on preset rules (e.g., "scratch length exceeds 1mm is unqualified"), but industrial product defects are becoming more complex (e.g., hidden cracks in metal parts). The addition of deep learning algorithms allows the system to learn to "think like a human".
Typical scenarios of technology collaboration:
Dynamic detection: The glass turntable equipment integrates high-precision servo motors to adjust the speed in real time during rotation, and cooperates with CCD to capture high-speed moving products (such as automotive screws).
3D inspection: laser line scan CCD + glass turntable tilting mechanism, which can reconstruct the three-dimensional model of parts and detect micron-level deformation.
AI classification: The system automatically distinguishes between "acceptable process traces" and "fatal defects" to reduce the accidental killing of good products.
Industry benchmark: Tesla factory uses "AI-CCD+glass turntable" equipment to detect battery electrode coatings, and the defect identification rate is as high as 99.99%.
(after 2020)**
In smart factories, CCD detection is no longer an isolated link, but is deeply bound to the whole production process. Glass turntable equipment has also evolved into "smart terminals":
Flexible production changeover: The same glass turntable equipment can detect industrial products of different sizes (such as switching from mobile phone chips to medical device parts) through AI adaptive adjustment, and the changeover time is reduced from 1 hour to 5 minutes.
Real-time closed-loop: Inspection data is directly fed back to the stamping machine and injection molding machine, automatically correcting process parameters (such as pressure, temperature) and reducing defects from the source.
Predictive maintenance: By analyzing the vibration data of glass turntable bearings, equipment failures can be predicted and losses can be avoided.
The evolutionary history of CCD visual inspection is the epitome of the industry's pursuit of "zero defects". From manual visual inspection to AI full inspection, from mechanical conveyor belts to intelligent glass turntable equipment, technological progress not only makes quality inspection more accurate and faster, but also reshapes the logic of the manufacturing industry - quality is not detected, but designed. In the future, with the breakthrough of quantum imaging, photonic chips and other technologies, this dance of "eyes" and "hands" will be more exciting.
Room 702, Building 3, No. 22, Jiabin Road, Huangjiang Town, Dongguan City, Guangdong Province
186 1717 8962
xianghongyu2024@126.com
Copyright©Dongguan Xianghongyu Technology Co., Ltd. All Rights Reserved 粤ICP备2025362647号
