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Datalogic / Datasensing SR21-IR machine vision sensor
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Datalogic / Datasensing SR21-IR Fork Label Sensor

SR21-IR

The SR21-IR (part number 953151070) is an infrared-LED fork/label sensor with a 2 mm slot width and 50 mm slot depth, offering 0.5 mm resolution, a 25 kHz switching frequency and roughly 0.02 ms (20 us) response time. It provides selectable light/dark NPN/PNP outputs from a 10-30 VDC supply with teach-in sensitivity adjustment. The Zamak housing carries an IP65 rating, uses a 4-pin M8 connector and operates from -20 to +60 degrees C.

Brand
Datalogic / Datasensing
Sensor type
Fork / label sensor
Response time
0.02 ms (20 us) response time
Communication
IO (digital NPN/PNP switching output)
IP rating
IP65
Resolution
0.5 mm
Switching frequency
25 kHz
Supply voltage
10-30 VDC
Housing material
Zamak (metal)
Dimensions
20 x 26 x 90 mm
Operating temperature
-20 to +60 degC
Sensing method
Fork

Technical overview

The SR21-IR is a fork (slot) sensor, meaning its emitter and receiver sit on opposing arms of a fixed U-shaped frame with a 2 mm slot width and 50 mm slot depth. Material to be inspected is threaded through that slot, and the sensor reads the difference in infrared transmission as features pass between the arms. Because the optical path is closed and self-aligned across a fixed gap, there is nothing to align in the field and no reflector to mount; positioning reduces to feeding the web cleanly through the slot. With a 0.5 mm resolution it is built to discriminate the small transmission step between a label and the carrier (liner) backing it, which is the defining task in label-detection on backing material. The infrared LED source is chosen precisely because it sees through many label and liner stocks differently than visible light, picking up the density change at a label edge even on stocks that look uniform to the eye.

Electrically the sensor is a switching device, not an analog measurement instrument. It drives a digital output that can be configured as PNP or NPN and as light-operate or dark-operate, from a 10-30 VDC supply through an M8 connector. Sensitivity is set by teach-in rather than a trimmer, so the threshold between liner-only and label-present is captured from the actual material running through the slot. That switching edge is what makes it useful in a vision or motion system: each label gap produces a clean digital transition that can clock a labelling head, index a feed, or serve as a hardware trigger to a camera so an image is captured at a repeatable position relative to the label. With roughly 0.02 ms (20 us) response time and a 25 kHz switching frequency, the output keeps up with high-rate labelling and packaging lines where labels pass in rapid succession.

Mechanically it is built for the machine environment its application implies. The housing is Zamak metal rather than plastic, the body measures 20 x 26 x 90 mm, and it carries an IP65 rating for protection against dust and wash-down jets. It operates from -20 to +60 degrees C, covering chilled packaging areas through warm machine enclosures. As a fork sensor it is a standalone detector that needs no separate controller or amplifier; it is wired directly to the machine PLC or, when used alongside imaging, to a camera trigger input.

Best for

  • Detecting labels on continuous liner for self-adhesive labelling heads on packaging lines, where each label edge must be found at speed to time application onto the product
  • Gap and pitch detection on label web feed in packaging machinery, using the 25 kHz output to index the web and avoid double-feeds or missed labels
  • Generating a hardware trigger for a downstream vision camera so label print, position, or presence is imaged at a repeatable point relative to each label
  • Label-presence verification on logistics sortation lines, confirming a label is on the carrier before cartons divert to downstream stations
  • Counting and verifying continuous label runs in wash-down packaging areas where an IP65 metal-bodied sensor is required

Selection notes

  • Confirm the material to be sensed fits the slot: the fixed 2 mm slot width and 50 mm slot depth set the maximum web thickness and how far the label can reach into the gap, so check that your liner and label stack threads cleanly without contact
  • The 0.5 mm resolution is matched to the label-vs-liner transmission step; for stocks with very thin or near-transparent labels, validate detection by running real material through the teach-in rather than assuming it will resolve every gap
  • Wire the output to match the receiving input: choose PNP or NPN and light- or dark-operate to suit the PLC or camera trigger input, and budget for the 10-30 VDC supply on the M8 connector
  • When using it to trigger a camera, the 20 us response time and 25 kHz switching frequency mean trigger latency is dominated by the sensor's fixed edge, making it suitable for high-rate lines, but verify the camera trigger setup captures at the intended offset from the label edge
  • This is an infrared fork (slot) device with a digital switching output only; if you need an analog distance or thickness measurement, or contrast/colour discrimination on a reflective surface, a different sensing principle is required
  • For -20 to +60 degC chilled or warm enclosures the IP65 Zamak housing is appropriate; for full submersion or aggressive chemical wash-down beyond IP65, confirm the environment against the rating before designing it in

Specifications: General
BrandDatalogic / Datasensing
Sensor typeFork / label sensor

Specifications: Performance
Response time0.02 ms (20 us) response time
Resolution0.5 mm
Switching frequency25 kHz

Specifications: Interface
CommunicationIO (digital NPN/PNP switching output)
ConnectionM8 connector

Specifications: Electrical
Supply voltage10-30 VDC

Specifications: Environment
IP ratingIP65
Operating temperature-20 to +60 degC

Specifications: Mechanical
Housing materialZamak (metal)
Dimensions20 x 26 x 90 mm

Specifications: Sensing
Sensing methodFork
Light sourceInfrared LED

Specifications: Output
Output typePNP / NPN

Frequently asked questions

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