Standard Shortwave Infrared Camera Specs for Cotton Contamination Sorters

Shortwave infrared sorters use dual-band InGaAs line scan cameras to detect synthetic polymers in cotton by targeting carbon-hydrogen absorption peaks.

31.08.26 17 min

Band

Catching synthetic polymer contamination early in blowroom opening keeps it from breaking down into smaller pieces. Mechanical harvesting, baling, and field transport introduce foreign trash into raw seed cotton. Woven polypropylene bale twine, clear packaging film, jute, rubber bands, and synthetic bagging cause the worst problems downstream.

If polypropylene slips past opening and carding, card clothing wire shreds it into thousands of tiny filaments. Because synthetic fibers reject direct dyes during finishing, they leave stark, un-dyed white streaks across dyed fabric.

Standard color inspection using RGB cameras or UV fluorescence fails whenever a contaminant matches the shade of raw lint. White polypropylene twine, clear polyethylene film, and unbleached synthetics look almost identical to cotton under visible light. Shortwave infrared imaging bypasses visual color by operating across the 900 to 2500 nanometer spectrum.

In this band, detection depends on chemical bond vibrations rather than surface color or optical brighteners.

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Chemical Absorbance Differences across the Infrared Spectrum

Cotton lint is mostly pure cellulose, a carbohydrate polymer rich in hydroxyl groups that create distinct vibrational absorption bands and overtones in the shortwave infrared. Bound moisture in the fiber matrix deepens absorption near 1450 nanometers and 1940 nanometers. Clean cotton reflects strongly between 900 nanometers and 1350 nanometers, drops into a deep absorption trough at 1450 nanometers from water content, climbs between 1550 and 1650 nanometers, and falls off again past 1900 nanometers.

Synthetic polymers lack cellulosic hydroxyls and carry almost no moisture. Polypropylene consists entirely of saturated aliphatic hydrocarbon chains, with carbon-hydrogen stretching overtones creating secondary absorption dips at 1195 nanometers and 1390 nanometers and primary overtones at 1690 nanometers, 1720 nanometers, and 2310 nanometers. Polyethylene shows similar C-H bands centered near 1210 nanometers, 1410 nanometers, and 1730 nanometers.

This structural difference creates clear optical separation: under SWIR light, clean cotton reflects brightly at 1200 nanometers and absorbs at 1450 nanometers, while polypropylene reflects at 1450 nanometers and absorbs between 1690 and 1720 nanometers.

Polypropylene exhibits a secondary NIR absorbance peak near 1210 nanometers where clean cotton reflectance stays above eighty-five percent.

Polyester introduces an ester carbonyl signature with absorption bands near 1120 nanometers and 1660 nanometers. Botanical field trash ~ dried leaves, stems, and seed coat fragments ~ contains lignin and moisture, so it mirrors cotton’s dip at 1450 nanometers. However, field trash shows lower baseline reflectance across the 1000 to 1300 nanometer range because of surface scattering and aromatic ring absorptions.

The table below summarizes optical reflectance properties for cotton and common foreign contaminants across primary detection bands.

Absorbance and Reflectance Properties of Cotton versus Common Synthetic Contaminants in the 900 to 2200 Nanometer Range
Material Type Chemical Structure Reflectance at 1200 nm Reflectance at 1450 nm Reflectance at 1650 nm Primary Absorption Peaks
Clean Cotton Lint Cellulose with 7-8% moisture 88 percent 18 percent 62 percent 1450 nm, 1940 nm (O-H stretch)
Polypropylene Twine Saturated aliphatic hydrocarbon 42 percent 78 percent 22 percent 1195 nm, 1690 nm, 1720 nm (C-H stretch)
Polyethylene Film Linear low-density hydrocarbon 48 percent 81 percent 31 percent 1210 nm, 1410 nm, 1730 nm (C-H stretch)
Polyester Fiber Polyethylene terephthalate ester 65 percent 61 percent 28 percent 1120 nm, 1660 nm, 2140 nm (C=O overtone)
Jute and Sisal Lignocellulose matrix 52 percent 24 percent 41 percent 1450 nm, 1620 nm, 1930 nm (Lignin C-H)
Botanical Trash Dried leaf and stem tissue 38 percent 15 percent 29 percent 1450 nm, 1920 nm, broad visible absorption
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Wavelength Selection Strategies for Sorter Integration

Designing an inline sorter requires selecting spectral bands that maximize optical contrast between synthetic polymers and moving cotton tufts. Most blowroom systems use dual-band differential imaging. The optical layout isolates two spectral zones: Band A functions as a reference channel near 1200 nanometers where clean cotton reflects brightly, while Band B targets the 1450 nanometer region where cotton absorbs light and synthetics reflect it.

Calculating the ratio of Band A to Band B provides a normalized index for every pixel across the scan line. For clean cotton, this ratio stays high, usually above 4.0. When white polypropylene passes through the beam, the ratio drops below 0.6 as the polymer returns significant light in Band B. Once a pixel falls below this threshold, the sorting controller flags the coordinate and triggers downstream pneumatic valves.

Standard Indium Gallium Arsenide sensors cover the 900 to 1700 nanometer band, spanning the 1200 nanometer reference point and the 1450 nanometer cellulose absorption trough. Reading past 1700 nanometers requires adjusting the epitaxial layer with higher indium ratios. These extended-SWIR sensors reach 2200 to 2500 nanometers, capturing specific polymer absorption signatures at 2140 nanometers and 2310 nanometers.

Higher costs and greater thermal noise limit extended arrays to specialized sorting applications that require detailed polymer classification.

Common optical failure modes encountered on high-speed cleaning lines include:

  • Moisture Variation Blindness occurs when localized damp pockets exceed ten percent moisture content. Heavy water absorption suppresses baseline reflectance, causing dense cotton clumps to cross the trigger threshold and driving up false rejections.
  • Polymer Overlap Confusion happens when running blended post-consumer fibers like poly-cotton waste. Polyester shares moderate absorption features with cellulose near 1450 nanometers, flattening contrast and allowing fine filaments to slip through standard dual-band setups.
  • Dust Deposition Attenuation results from micro-dust settling on optical inspection windows. The dust layer absorbs 1450 nanometer light, skewing baseline calibration values until the automatic air knife cleans the glass.
  • Thermal Radiation Drift occurs when high-output halogen sources warm the machine enclosure above fifty degrees Celsius. Background thermal emission bleeds into the sensor past 1600 nanometers, raising the noise floor and masking smaller polypropylene fragments.

Suppliers often claim visible RGB cameras and UV lighting remove ninety-nine percent of raw cotton contaminants. In practice, that efficiency applies only to brightly colored cloth and fluorescent-treated twine. White packaging film and unbleached synthetics pass through visible systems undetected, leaving mills to handle the resulting yarn claims.

Sensor

Detecting millimeter-scale polymer fragments in an opening line requires linear array sensors with high line scan rates. Cotton tufts move through pneumatic ducts or along incline belts at fifteen to thirty meters per second. At these speeds, a two-millimeter particle remains in the optical field of view for under one hundred microseconds.

Linear InGaAs sensors accommodate these speeds with continuous scan rates from ten kilohertz to forty kilohertz.

InGaAs line scan arrays feature an active epitaxial layer grown on an Indium Phosphide substrate, where alloy stoichiometry determines the cutoff wavelength. Standard InGaAs pairs fifty-three percent Indium Arsenide with forty-seven percent Gallium Phosphide, lattice-matched to the substrate for a 0.75 electron volt bandgap and a 1700 nanometer cutoff. Extending sensitivity to 2200 nanometers requires a higher indium ratio, introducing lattice mismatch, higher defect density, and dark current that increases by roughly two orders of magnitude.

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Detector Architecture and Noise Characteristics

Modern shortwave cameras bond a CMOS readout circuit directly to the InGaAs photodiode array using indium bump pillars. Sorter arrays typically use 1024 or 2048 pixels in single- or dual-line layouts. Dual-line configurations place parallel pixel rows under integrated optical bandpass filters to capture Band A and Band B simultaneously on one die without beam-splitting optics.

Pixel pitch determines light collection and spatial resolution across the duct width. A twelve point five micrometer or fourteen micrometer pitch provides the resolution needed to spot isolated fibers down to 0.1 millimeter, though full well capacity stays between 0.5 million and 1.5 million electrons. Larger pitches of twenty-five micrometers or fifty micrometers offer full well depths above twenty million electrons, maintaining signal-to-noise performance when integration times drop below twenty microseconds.

Higher web velocity demands shorter sensor integration windows to prevent optical smear across adjacent ejector nozzles.

Selecting InGaAs detectors for blowroom machinery requires careful evaluation of thermal stabilization mechanisms. InGaAs photodiodes generate temperature-dependent dark current that doubles roughly every seven degrees Celsius. Unchecked thermal drift shifts signal baselines, skewing optical ratio calculations and causing erratic sorting.

Sorters operating in hot mill environments use single- or two-stage thermoelectric coolers inside the hermetic package. Holding the sensor die at zero degrees Celsius or minus ten degrees Celsius caps dark current below 0.1 picoamps per pixel and maintains dynamic range above seventy decibels.

Folded cotton denim panels joined by sashiko stitching and tied with braided twine rest on a purple painted wooden bench.

Where Does Extended Shortwave Infrared Justify Detector Cost?

Extended InGaAs arrays sensitive to 2200 nanometers cost three to four times more than standard 1700 nanometer sensors. Standard arrays reliably detect polypropylene and polyethylene, which account for over eighty-five percent of raw bale contamination. Extended SWIR becomes necessary when processing post-consumer textile clips or garnetted rag waste.

These recycled streams contain elastane, polyamide, acrylic, and chemical finishes with overlapping absorption bands between 1000 and 1650 nanometers, requiring the 2000 to 2300 nanometer window to separate synthetic elastomeric threads from cotton.

Specifying a linear array for an opening line involves balancing resolution, scan speed, dynamic range, and sensor cooling. The matrix below outlines standard configurations used in commercial sorting machinery.

Technical Specification Matrix for Shortwave Infrared Line Scan Cameras in Cotton Sorters
Specification Parameter Standard SWIR InGaAs Extended SWIR InGaAs High-Speed Dual-Line SWIR
Spectral Range 900 nm to 1700 nm 1000 nm to 2200 nm 900 nm to 1700 nm (Dual Filter)
Pixel Array Format 1024 x 1 or 2048 x 1 pixels 1024 x 1 pixels 2048 x 2 parallel lines
Pixel Pitch 12.5 µm or 25 µm 25 µm or 50 µm 12.5 µm x 12.5 µm
Maximum Line Rate 40 kHz (40,000 lines/s) 15 kHz (15,000 lines/s) 30 kHz dual line
Quantum Efficiency > 75% (1100 to 1600 nm) > 60% (1200 to 2000 nm) > 70% with internal filters
Full Well Capacity 5.0 Me- (High Gain) / 20 Me- 10.0 Me- 2.5 Me- per pixel line
Dynamic Range 72 dB (12-bit output) 66 dB (12-bit output) 74 dB (14-bit output)
Sensor Cooling TEC single-stage (0°C) TEC two-stage (-15°C) TEC single-stage (0°C)
Data Interface Camera Link or GigE Vision Camera Link Base CoaXPress or 10 GigE Vision

Key operational criteria for sensor selection include:

  • Quantum Efficiency Profile defines photon-to-electron conversion across the active bands, which should exceed seventy percent at 1450 nanometers.
  • Integration Time Flexibility allows photon exposure adjustments between five microseconds and one millisecond without introducing non-linear response errors.
  • Correlated Double Sampling suppresses readout reset noise to preserve signal clarity at high pixel clock rates.
  • Anti-Blooming Capability prevents saturated pixels from specular glints off metal ties from spilling charge into neighboring channels.

A simple rule of thumb dictates that cooling the sensor temperature by seven degrees Celsius cuts dark current noise in half.

Lens

Focusing shortwave infrared light onto an InGaAs sensor requires dedicated optical glass and anti-reflective coatings. Standard visible-light lenses suffer high transmission losses past 1000 nanometers, while conventional coatings cause glare and ghosting under SWIR illumination. Lenses designed for SWIR incorporate dense flint and fluorite elements to maintain light transmission above ninety percent across the 900 to 1700 nanometer range.

Chromatic aberration presents a major obstacle in dual-band sorters. Because glass refracts different wavelengths at varying angles, an uncorrected lens focuses 1200 nanometer and 1450 nanometer light on different focal planes. This shift leaves one spectral band soft while the other remains sharp, generating false triggers along the edges of moving fiber tufts.

Dual-band systems require lenses with apochromatic correction across the 900 to 1700 nanometer range to keep both wavelength images aligned.

Multi color mercerized cotton threads pass through a dark navy jersey knit textile stretched over a grey latticework frame for repair.

Optical System Setup and Calibration Sequence

Maintaining focus across duct widths between 1200 millimeters and 1600 millimeters depends on optical geometry. Resolving 1.0 millimeter per pixel across a 1600-millimeter duct using a 2048-pixel array requires precise magnification. A lens with a focal length of twenty-five millimeters or thirty-five millimeters positioned 800 to 1200 millimeters from the flow stream provides sufficient depth of field to keep fiber tufts in focus across a twenty-millimeter thick transport layer.

USDA cotton classing guidelines classify foreign synthetic filaments above five millimeters as unalterable grade deductions.

Illumination is as critical as sensor design. Shortwave cameras record light reflected from or transmitted through moving fiber. Halogen lamps provide broadband infrared energy across the 900 to 2500 nanometer band, but convert over ninety percent of electrical power into heat.

Thermal build-up inside enclosures degrades camera performance and shortens lamp lifespan. Newer sorter designs replace halogen tubes with solid-state pulsed SWIR LED arrays. Arrays centered at 1200 nanometers, 1450 nanometers, and 1650 nanometers pulse sequentially in microseconds, matching camera integration windows and reducing heat load by eighty percent.

The following numbered calibration sequence outlines the step-by-step physical alignment required when commissioning high-speed shortwave imaging systems on an active mill line.

  1. Position the camera mounting chassis perpendicular to the duct window surface using a bubble level to eliminate keystone optical distortion.
  2. Adjust the mechanical focus ring on the SWIR lens while viewing a high-contrast optical target placed inside the fiber transport plane.
  3. Lock the lens aperture setting between f/2.8 and f/4.0 to balance light throughput against depth of field.
  4. Apply power to the light source and verify uniform light distribution across the full width of the channel using a live line intensity profile plot.
  5. Capture a dark reference frame with the optical shutter closed to map individual pixel dark current offsets across the InGaAs array.
  6. Place a standardized flat-field PTFE ceramic target across the illumination beam to record a bright reference frame for two-point flat-field correction.
  7. Enable real-time flat-field correction algorithms in the camera firmware to normalize illumination falloff at the image periphery.
  8. Verify foreign particle detection limits by dropping test calibration swatches of clear polypropylene film through the active viewing zone.
A digital render portrays a woven cotton towel clamped tightly across a metallic testing frame inside a dark industrial concrete facility.

Environmental Isolation and Optical Maintenance

Operating optical hardware inside a blowroom exposes lenses to heavy concentrations of micro-dust and fiber fly. Dust settling on glass reduces transmission and scatters light, triggering false detections. Sorters enclose cameras and lighting units behind positive-pressure, air-purged window chambers, using automated air knives to clear accumulated fiber debris without stopping production.

Across commercial opening lines, rapid temperature changes at the optical window drive dark current drift that degrades classification thresholds. If window air knives fail or use oil-contaminated air, a film coats the glass, dropping light transmission at 1450 nanometers by up to thirty percent within twenty-four hours. Operating with dirty optical glass lets polypropylene slip through undetected while blowing clean cotton into the waste bin.

Neglecting optical maintenance leads to poor spinning efficiency, unnecessary lint loss, and failing foreign matter specifications.

Ejection

Once detected, contaminants must be physically separated from the duct. Inline sorters use high-speed pneumatic solenoid valve banks positioned 100 to 300 millimeters downstream of the viewing line, depending on duct dimensions and air velocity.

Valve timing requires high precision. Cotton moving at twenty meters per second travels twenty millimeters per millisecond. At an inspection-to-ejector distance of two hundred millimeters, transit time is exactly ten milliseconds.

The controller must process line scans, map pixel coordinates to the valve bank, evaluate thresholds, and fire the solenoid coil within that window. A timing drift of one millisecond causes the air blast to miss the particle.

A person stands behind a metal rail, displaying cotton bolls on hangers alongside dark fabric garments in a dim, minimalist interior.

Pneumatic Nozzle Array Architecture

Manifolds position valves closely across the machine width, with nozzle pitches ranging from five millimeters to twelve point five millimeters. A 1600-millimeter machine typically uses 128 to 320 independent air channels. Closer spacing concentrates the air pulse on the contaminant, reducing the volume of clean lint blown into the waste bin.

Valves must open fully within 1.0 to 1.5 milliseconds, close within 1.0 millisecond, and cycle reliably at rates above three hundred hertz. Achieving these speeds requires lightweight ceramic or stainless steel spools and peak-and-hold driver circuits. Compressed air requires dual-stage filtration to remove moisture and oil aerosols down to 0.01 micrometers, keeping spools from sticking during continuous production.

Key considerations when selecting and configuring pneumatic ejection hardware include:

  • Actuation Response Speed dictates the time delay between sending an electrical trigger signal and achieving full mechanical air passage, requiring valve response times under 1.2 milliseconds.
  • Operating Air Pressure determines the mechanical force exerted on moving fiber tufts, normally regulated between 0.4 MPa and 0.6 MPa to ensure complete contaminant deflection.
  • Nozzle Orifice Geometry shapes the expanding air jet profile, where convergent conical nozzles preserve air velocity over longer standoff distances.
  • Ejection Duration Control regulates how long the valve remains open, typically adjustable from two milliseconds to ten milliseconds to match contaminant size.
  • Lint Extraction Ratio measures the total mass of clean cotton ejected per gram of foreign matter removed, with optimal machine performance landing below three grams of lint per gram of foreign matter.
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Matching Detection Geometry to Transit Dynamics

Sorters transport fiber using either free-fall chutes or constrained belts. Free-fall designs drop tufts vertically using gravity and airflow. They eliminate belts to save space and maintenance, but falling tufts accelerate unevenly.

Variations in mass and drag between loose fiber and dense clumps create timing differences at the ejection point.

Constrained belt systems transport tufts through the inspection zone on a perforated belt supported by vacuum hold-down. This ties particle speed directly to the belt drive, stabilizing transit times. Predictable arrival improves removal efficiency and cuts unnecessary air usage.

Realigning an air valve manifold to match belt speed dynamics reduced false rejection mass by eight percent.

Pneumatic valve response time degrades as internal operating temperatures rise during extended sorting cycles. Spring fatigue and solenoid coil heat build-up can shift actuation timing by up to 0.5 milliseconds after six hours of continuous operation. What mechanical timing adjustments compensate for solenoid coil heating without requiring operator recalibration during full-shift spinning operations?

Economics

Shortwave infrared sorters represent a significant capital expense. An inline blowroom machine with dual-band InGaAs cameras costs between 120,000 USD and 250,000 USD, depending on duct width, sensor resolution, and nozzle pitch. Justifying this outlay involves balancing fiber loss against the severe financial penalties mills face when synthetic contamination reaches finished yarn.

Contamination in carded or combed yarn leads to severe quality claims. A single polypropylene filament knitted or woven into fabric can spoil an entire dye lot. Garment makers pass fabric costs, airfreight, and processing penalties directly back to the spinning mill.

These chargebacks range from 5,000 USD to over 50,000 USD per incident, quickly wiping out quarterly operating margins.

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Landed Cost Calculations and Operational Waste Balance

Total operating expense includes equipment depreciation, compressed air, lamp replacement, window maintenance, and fiber loss. Compressed air represents the largest recurring utility expense. An array of 320 nozzles firing frequently on high-trash cotton consumes significant air, where running a dedicated 37 kW compressor adds 8,000 USD to 15,000 USD in annual power costs per line.

Good fiber loss directly impacts yarn production cost. Every air pulse ejects clean lint along with the contaminant. If camera thresholds are loose or optical contrast is poor, the machine rejects usable cotton.

Purging twenty kilograms of usable cotton daily at two dollars per kilogram creates over 14,000 USD in annual fiber loss. Tuning SWIR detection bands to refine discrimination against polypropylene protects overall profitability.

The model below details the financial landed impact and defect mitigation balance for a 10,000-ton annual capacity spinning mill implementing shortwave infrared sorting equipment.

Landed Financial Impact and Defect Mitigation Model for SWIR Automated Cleaning Lines
Operational Parameter Without SWIR Sorting With Standard SWIR (1700 nm) With Dual-Band High-Speed SWIR
Initial Capital Investment 0 USD 140,000 USD 210,000 USD
Annual Maintenance & Utilities 0 USD 12,500 USD 18,200 USD
Polypropylene Removal Efficiency 35 percent (Manual only) 88 percent 96 percent
Annual Contamination Claims 85,000 USD 12,000 USD 3,500 USD
Good Fiber Loss (Annual Mass) 0 kg 4,200 kg 2,100 kg
Annual Waste Mass Cost ($2.10/kg) 0 USD 8,820 USD 4,410 USD
Net Annual Operational Savings Baseline 51,680 USD 61,590 USD
Simple Investment Payback Period N/A 2.7 Years 3.4 Years
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Standard Procurement Specification Clause for Equipment Purchase Contracts

Mill managers require explicit performance criteria in machinery purchase contracts. Generic sales claims leave plants exposed when equipment fails to catch clear polyethylene or white polypropylene twine during production. Supply agreements should define sensor specifications, operating wavelengths, spatial resolution, and target removal efficiency under documented test conditions.

Machinery procurement contracts specifying foreign matter sorters must include standard specification clauses that define measurable acceptance metrics before final sign-off payment. Incorporating the following clause establishes explicit legal and technical boundaries for equipment acceptance: The optical sorting system shall incorporate linear InGaAs detector arrays operating within the 900 to 1700 nanometer spectral range, delivering a line scan rate of not less than 20 kilohertz per optical channel at a spatial resolution finer than 1.0 millimeter per pixel across the entire machine working width. Under standard operational conditions processing raw upland cotton containing up to 50 foreign particle defects per ton, the equipment shall demonstrate a minimum Polypropylene and Polyethylene particle removal efficiency of 92 percent for synthetic fragments larger than 2.0 millimeters in length, while maintaining a clean fiber rejection ratio not exceeding 3.0 grams of usable cotton lint per gram of total ejected material.

Setting clear, quantitative acceptance criteria in the contract ensures the machine delivers expected performance before final settlement.

Nomenclature

Cotton Contamination

Foreign Material ~ Extraneous synthetic polymers or organic debris embedded within raw natural fibres compromise the integrity of industrial yarn production and fabric processing stages.

Bandpass Filter

Signal Selection ~ Electronic circuitry isolates specific frequency ranges while discarding unwanted noise from an electrical input.

Quantum Efficiency

Conversion Factor ~ Ratio of incident photons to generated electrons determines the sensitivity of a digital sensor at a specific wavelength.

Pneumatic Ejection

Operational Force ~ Compressed air propulsion acts as the primary mechanical driver for removing individual textile components from high-speed production lines through controlled bursts of energy.

Solenoid Valve

Pneumatic Control ~ Electro-pneumatic fluid actuators regulate compressed air delivery inside textile machinery by shifting internal spools through electromagnetic induction coils.

Differential Imaging

Surface Comparison ~ Optical inspection identifies defects in finished textiles by isolating variance between two digital files representing a production batch and a control standard.

Foreign Fiber Sorter

Automated Separation ~ Optical sensors identify and eject non-textile material from natural cotton bales during initial opening phases.

Pixel Pitch

Resolution Constant ~ Center to center distance between adjacent pixels on an image sensor determines the maximum spatial detail a camera can capture.

Dark Current

Current Leakage ~ Unwanted charge movement inside silicon sensor arrays produces optical signal distortion during low light textile inspection.

Shortwave Infrared

Invisible Spectrum ~ Electromagnetic radiation with wavelengths between one and two point five micrometers provides a powerful tool for analyzing the chemical properties of textiles that are not apparent in visible light.

Spatial Resolution

Pixel Density ~ Imaging detail metrics determine the smallest feature that an automated inspection system can reliably detect on a moving textile surface.

Line Scan Camera

Hardware Configuration ~ Optical imaging sensors capture a continuous image of moving textile webs or individual fibers by reading a single row of pixels at high frequency during processing.

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