Line scan objective lens LS16-P series
for detectionfor identificationhigh-resolution

Line scan objective lens - LS16-P series - Chiopt - for detection / for identification / high-resolution
Line scan objective lens - LS16-P series - Chiopt - for detection / for identification / high-resolution
Line scan objective lens - LS16-P series - Chiopt - for detection / for identification / high-resolution - image - 2
Line scan objective lens - LS16-P series - Chiopt - for detection / for identification / high-resolution - image - 3
Line scan objective lens - LS16-P series - Chiopt - for detection / for identification / high-resolution - image - 4
Line scan objective lens - LS16-P series - Chiopt - for detection / for identification / high-resolution - image - 5
Line scan objective lens - LS16-P series - Chiopt - for detection / for identification / high-resolution - image - 6
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Characteristics

Type
line scan
Technical applications
for detection, for identification
Other characteristics
high-resolution, high contrast, ultra low distortion, coaxial design available
Focal length

116 mm
(4.57 in)

Description

COAXIAL ILLUMINATION LINE SCAN LENS Designed for coaxial lighting system Avoid the resolution deduction caused by using the beam splitter Achieve the detection requirements of high resolution and high contrast 16K / 5 μ and compatible with 16K / 3.5 μ and 12K / 5 μ line scan cameras With 30 * 80mm beam splitter Ultra-low optical distortion, less than 0.001%, or 1 pixel Big aperture, FNO. 3.8 APPLICATION Defective/Spot Check for flaws/stains on steel plates Electronic parts Identify existence / Identify classification Detect the number of microchips & mark defects Defective/Spot Detect camera defects Electronics equipment Identify existence / Identify classification Detection of poor binding and broken leads of motor wire
*Prices are pre-tax. They exclude delivery charges and customs duties and do not include additional charges for installation or activation options. Prices are indicative only and may vary by country, with changes to the cost of raw materials and exchange rates.