CMOS Multi-Function Analog Laser Sensor

IL series

Sensor head IL-S600

IL-S600 - Sensor head

*Please note that accessories depicted in the image are for illustrative purposes only and may not be included with the product.

Data Sheet (PDF)

Manuals

CAD / CAE

360°view (3D PDF)

Software

  • CE Marking
  • CSA

Specifications

Model

IL-S600*1

Mounting distance

600 mm

Measurement range

200 to 1000 mm

Light source

Amplifier type

Red semiconductor laser; wavelength 655 nm
(visible light)

Laser Class

Class 2 Laser Product
(FDA (CDRH) Part1040.10*2, IEC 60825-1): 2014

Output

560 μW

Spot diameter

Approx. 600 × 7500 μm (at the reference distance)

Linearity

±0.1% of F.S. (When used under 200 to 600 mm)
±0.3% of F.S. (When used under 200 to 1000 mm)
*3*4

Repeatability

50 μm*5

Sampling rate

0.33/1/2/5 ms (Variable to 4 levels)

Operating indicators

Laser emission warning indicator: green LED,
Analog range indicator: orange LED,
Reference distance indicator: red/green LED

Temperature characteristic

0.02% of F.S./°C*4

Environmental resistance

Enclosure rating

IP67

Ambient light

Incandescent lamp: 10000 lx*6

Ambient temperature

-10 to +50°C (No condensation and freezing)

Relative humidity

35 to 85% RH (No condensation)

Pollution degree

3

Vibration resistance

10 to 55 Hz, 1.5 mm double amplitude,
2 hours each for X, Y, and Z axes

Material

Housing material: PBT, Metal: SUS304,
Packing: NBR, Lens cover: Glass, Cable: PVC

Weight

Approx. 135 g

*1 Amplifiers purchased before August 16th, 2011 cannot be used.
*2 The classification is implemented based on IEC60825-1 following the requirement of Laser Notice of FDA (CDRH).
*3 Value when measuring the KEYENCE standard target (white diffuse object).
*4 The F.S. is as shown to the right. IL-S600: ±400 mm
*5 Is the value for when our standard object (white diffuse object) is measured at an average of 128 times and with a sampling rate of 2 ms from a standard distance
*6 Value when the sampling rate is set to 2 ms or 5 ms.

Data Sheet (PDF) Other Models