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Fiber Sensors
OMRON's Fiber Sensors continue to support an increasing range of applications.
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Quick links OMRON IA Photoelectric Sensors in your country.
Please contact OMRON Europe B.V. in Netherlands.
Application No.2
Detects Seating of Transparent LCD Substrates
The two fiber heads embedded into the robot hand and a single amplifier achieve stable detection of the seating of transparent LCD substrates.
Application No.13
Sense Presence of Minute Components
The space-saving flat view fiber with only a single amplifier senses the presence of components and simultaneously inspects their front and back surfaces.
Application No.14
Small-spot Fiber Precisely Detects Minute Chips
The fiber sensor with an added lens unit achieves a small spot beam with a variable diameter ranging from 0.1 to 0.6 mm.
Application No.16
Detects Passage of Minute Chips
The passing of chip components is detected even if the passing location varies within a width of 11 mm, regardless of whether they are metallic or non-metallic.
Application No.34
Sensing Distance of 20 Meters Precisely Detects Automobiles
The E32-T17L, with a rated sensing distance of 20 meters, enables precise long-distance detection of automobiles at coating stages.
Application No.37
Heat-resistant Fiber Precisely Detects Wafers
The E32-T61 features a temperature-resistant fiber for stable detection of wafers being baked at 300°C or higher.
Application No.38
200°C Resistant Through-beam Fiber Detects IC Chips
The use of fluororesin in the covering solved the weak points of conventional heat-resistant fibers, thus achieving a bending radius of 10 mm.
Application No.40
Heat-resistant Fiber Precisely Detects LCD Substrates in Ovens
The receiver fiber detects LCD substrates by catching the specular reflectance of the LCD substrates. The sensing spot is so large that the stable operation of the Fiber Unit is ensured regardless of the slight shifting of the substrates.
Application No.43
Detects Wafers in Chemical Washing Tanks
The Fluororesin Side-view Fiber Units are ideal for applications requiring resistance to chemicals when the sensor can be mounted on a narrow line.
Application No.45
Vacuum Fiber Precisely Detects Wafers in Vacuum Conveyance Systems
The E32-V has an easy-to-connect fiber and an easy-to-use 4-channel flange system, making it ideally applicable to vacuum systems.
Application No.61
Small Spot Fiber Precisely Detects Sealing Material Application
The use of a small-diameter fiber head makes it possible to mount the Fiber Unit and Lens Unit to the tip of the nozzle.The Lens Unit enables stable detection of sealing materials.
Application No.62
Area-sensing Fiber Sensor Detects Hot-melt Adhesive Coating
The amplifier with a differentiation function reduces the effects of hot-melt adhering to the Sensor over time.
Application No.67
Fiber Sensor Detects Sheet Edge to Prevent Sheet Snaking
The edges of transparent sheets can be detected by using a Differentiation Amplifier.
Application No.79
Detects Slight Inclination of Minute Chips
An 11-mm-wide area detects the slight inclination of chips.
Application No.91
Detects Notches and Eccentricity of Wafers
The area beam with a width of 11 mm with a twin-output amplifier enables simultaneous notch and eccentricity detection of wafers.
Application No.97
Diffuse Reflective Sensor Detects through Side Glass Windows
Liquid level detection is possible with the fiber coming into close contact with the glass window on the side of the tank.
Application No.103
Detection of Two Pallets of Canned Beer Inserted Together
Precisely detects the difference between one and two pallets by the amount of passing light, with the light intensified by the Long-distance Lens Unit.
Application No.109
Counts Pins with a Pin Pitch of 0.5 mm
Stable detection is achieved with a Thin-beam Fiber Unit.
Application No.115
Detects Two Types of Differently Colored Candy or Cookies
The color difference of two types of candy or cookies is detected as a difference in the amount of catoptric light by using a single fiber amplifier, provided that the amplifier is a
twin output model.