The application of visual components is very extensive, covering multiple fields and specific application scenarios.
Application fields
The application fields of visual components include 3C, semiconductors, lithium batteries, photovoltaics, automobiles, packaging and printing, logistics, rail transportation, biomedicine, food processing, light industry leather and other fields.
Specific application scenarios
Drug packaging defect detection: Use visual solutions to detect defects such as defects, missing packaging, and capsule powder leakage during drug packaging to ensure the yield rate of drugs leaving the factory. Milling cutter wear detection: Use visual technology to detect the wear of the milling cutter to achieve automated and pollution-free detection. Printer transparent plastic detection: Detect the width size of the transparent plastic inside the printer to ensure the printing effect. Tire embossing character recognition: Automatically identify the specification number on the tire surface to help quality management. Smart card character recognition: Detect the serial number and password on the surface of the smart card to ensure printing quality. Mobile phone glass cover scratch detection: Detect scratches, broken edges and other defects during the processing of mobile phone glass cover. Battery pack positioning: During the battery pack splicing process, the visual system is used to detect the battery round hole features to achieve high-precision positioning.
Fleece fabric surface quality detection: Detect the surface quality of the fleece fabric to ensure product quality.
Lithium battery pole piece detection: Detect defects such as exposed foil and dark spots in the production process of lithium battery pole pieces.
LCD printed circuit positioning: Control the glass cutting process by detecting the positioning marks on the LCD glass.
LED chip polarity detection: Detect the polarity of the LED chip to ensure its directional consistency.
Wafer surface defect detection: Detect various defects on the wafer surface to ensure yield and productivity.
Chip defect detection: High-precision detection of local defects in chips to eliminate defective products.
Key components and their functions Lighting source: The lighting source directly affects the imaging quality. Common light source types include LED light sources, halogen lamps, and high-frequency fluorescent lamps. LED light sources are favored for their diversity and superior performance, with advantages such as long life, fast response, and low operating costs.
Lens: The lens plays a core role in the machine vision system, imaging the target on the photosensitive surface of the image sensor. The quality of the lens directly affects the system performance.
Industrial camera: Industrial cameras have excellent image stability and anti-interference capabilities. The mainstream technologies include CCD and CMOS chip technologies. CCD cameras use charge as a signal and have the advantages of no burns and low voltage operation; CMOS sensors are developing rapidly with the development of ultra-large-scale integrated circuit technology.
