1" Series 20MP Machine Vision Lenses

  • Compatible for 1’’ Image Sensor
  • 20MP resolution
  • F1.4- F16 aperture
  • C/CS Mount

Products Details

1” series 20MP machine vision lenses is designed for 1” image sensor, such as IMX183, IMX283 etc. Sony IMX183 is diagonal 15.86mm (1”) 20.48 mega-pixel CMOS image sensor with square pixel for Monochrome cameras. Number of effective pixels 5544(H) x 3694(V) approx.20.48 M Pixels. Unit cell size 2.40μm(H) x 2.40μm(V). This sensor realizes high-sensitivity, low dark current, and also has an electronic shutter function with variable storage time. In addition, this sensor is designed for use in consumer use digital still camera and consumer use camcorder. ChuangAn Optics 1 machine vision lenses features: High resolution and quality.

Model

EFL (mm)

Aperture

HFOV

TV Distortion

Dimension

Resolution

CH601A

8

F1.4 - 16

77.1°

<5%

Φ60*L84.5

20MP

CH607A

75

F1.8 - 16

9.8°

<0.05%

Φ56.4*L91.8

20MP

Selecting the correct machine vision lens is most important to obtain high quality image for a correct and efficient following processing. Though the result also depends on the camera resolution and pixel size, a lens is in many cases the stepping stone to build a machine vision system. Our 1” 20MP high resolution machine vision lens can be use in industrial high-speed, high-resolution inspection application. Such as packaging identification (glass bottle mouth defect, foreign matter in wine bottle, cigarette case appearance, cigarette case film defect, paper cup defect, curved plastic bottle characters, gold-plated font detection, plastic nameplate font detection), Glass bottle inspection (suitable for drugs, alcohol, milk, soft drinks, cosmetics). sdv Glass bottles often have bottle mouth cracks, bottle mouth gaps, neck cracks, etc. in the production of glass bottles. These defective glass bottles are more likely to be broken and cause potential safety hazards. To ensure the safety of glass bottles, they must be carefully tested during production. With the acceleration of production speed, the detection of glass bottles must integrate high speed, high precision and real-time performance.  

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