How to Choose a Fabric Inspection Machine?

Fabric is the starting point of garment quality. If holes, oil stains, colour variation, foreign fibres, yarn knots or structural irregularities are not found before cutting, these problems may continue into cut parts, sewing and finished garments. The result can be recutting, panel replacement, rework or disputes over finished product quality.

Fabric inspection is therefore more than locating visible flaws. It helps manufacturers understand the condition of each fabric roll, where defects appear and how the material can be used before production begins. From operator-led inspection and automatic edge-alignment machines to AI fabric inspection, each approach serves a different combination of fabric type, output volume and quality management method.

What Is a Fabric Defect?

A fabric defect is an irregularity that affects fabric appearance, structure or use in later production. Ideally, fabric should show stable colour, consistent construction and a surface condition suitable for its intended product. Visible inconsistency, damage, contamination or structural variation can interfere with cutting plans, garment appearance or product performance.

Common fabric defects include:

• Yarn and construction irregularities, such as yarn knots, slubs, foreign fibres, broken yarns, broken warp, broken weft, skipped yarns, horizontal lines and uneven tension.

• Dyeing and finishing issues, such as colour spots, dye marks, shading, stop marks, pressure marks and scratches.

• Contamination, including oil stains, adhesive residue, dirt and chemical residue.

• Visible damage, such as holes, tears, snags or other surface damage that affects fabric use.

The impact of the same defect can vary according to the finished product. A small colour spot located on a visible front garment panel may be more serious than the same mark on a concealed inner section. Tension variation in stretch fabric may also influence cutting dimensions and sewing results.

Where Do Fabric Defects Come From?

Fabric defects may develop during raw material preparation, weaving or knitting, dyeing and finishing, transportation or factory handling.

1. Yarn and Raw Material Problems

Irregular yarn thickness, foreign fibre contamination, seed particles or loose fibre residue can form visible slubs, knots or foreign fibres on the fabric surface. These issues often become more apparent once the roll is opened and inspected.

2. Weaving or Knitting Irregularities

Machine settings, yarn tension or unstable feeding can lead to broken warp, broken weft, skipped yarns, needle lines, horizontal bars or uneven fabric construction. These defects affect appearance and may also create difficulties in cutting and sewing.

3. Dyeing and Finishing Problems

Uneven dyeing, colour spots, dye marks, crease shading or surface irregularities caused during finishing can influence the visual quality of completed garments. These problems are particularly important for dyed fabrics, functional textiles and products where colour consistency is closely controlled.

4. Handling and Equipment Contamination

During production, rewinding, transport or storage, fabric can come into contact with oil, adhesive, dust or other contaminants. Rollers, inspection surfaces or handling conditions may also leave pressure marks or stains.

Defect Severity: Not Every Problem Is Treated in the Same Way

Fabric defects are often classified according to their effect on garment appearance, function and usable cutting area.

Critical defects may include visible holes, large stains, continuous construction irregularities, severe colour difference or structural problems that interfere with product use. These defects may make affected panels unusable or require special handling of an entire roll.

Major defects are visible issues that may affect garment appearance or marker planning, such as obvious oil stains, colour spots, slubs, dye marks or local construction irregularities. Their position is normally recorded before cutting so they do not fall within important garment panels.

Minor defects may have little influence on function and may remain acceptable depending on product grade, defect position and customer requirements. A very small surface mark in a less visible area, for example, may be treated differently from the same mark on the front of a garment.

For manufacturers, the most useful approach is not simply categorising a roll as good or bad. Recording the type, position and severity of defects gives the cutting room and quality team more useful information for production decisions.

The Four-Point System: Recording and Comparing Fabric Quality

The four-point system is a commonly used visual fabric inspection method in textile and garment supply chains. It assigns penalty points from 1 to 4 according to defect size, then calculates the accumulated result in relation to the inspected fabric area.

In general, a single defect receives no more than four penalty points. Smaller defects receive lower scores, while larger or more serious defects receive higher scores. Holes, tears and continuous defects are often treated as items requiring particular attention.

The value of the four-point system is that inspection results can be recorded and compared instead of remaining solely dependent on individual judgement. Manufacturers can use the results to understand:

• which rolls contain concentrated defect areas;

• which batches show less stable fabric quality;

• which fabric sections should be avoided during cutting;

• which materials or suppliers require further tracking.

Acceptance limits, inspection percentages and handling rules may differ between factories and customers. The four-point system provides a practical recording method, while actual acceptance standards remain connected to purchasing agreements and customer requirements.

From Fabric Receipt to Cutting: What Does the Inspection Process Include?

When fabric arrives at a factory, inspection normally involves more than viewing the fabric surface. A complete process may also include roll identification, shade control, fabric width, length and defect-position records.

At fabric receipt, the factory may review roll labels and basic information such as colour, dye lot, roll number, length, width and weight. Where a production order includes more than one dye lot, shade grouping can influence how rolls are later arranged for cutting.

During inspection, operators or inspection systems examine the fabric surface, record the defect type and position, and monitor width, length and rewinding condition. When holes, visible contamination, continuous bars or other issues affecting cutting are found, these areas can be marked on the fabric edge or included in an inspection report.

For factories with a more developed quality process, the inspection report is not only a quality document. It can also support the cutting room. If defect concentration is known before marker planning and cutting begin, unusable areas may be avoided earlier in the process.

Conventional Fabric Inspection Machines: Direct Visual Judgement by Operators

A conventional fabric inspection machine moves fabric across an illuminated inspection surface, allowing the operator to observe the material, mark defects and record fabric length. Its main advantage is direct operation. When fabric types are unusual, patterns are complex or defect acceptance depends on product use, an experienced inspector can make an immediate judgement.

For factories with small to moderate inspection volume, frequent fabric changes or quality control based largely on operator experience, conventional inspection remains a practical method. OSHIMA traditional fabric inspection machine features automatic edge alignment and a fabric length recording function, ensuring that the fabric remains neatly aligned during inspection and winding. 

The limitation of conventional inspection is that results remain influenced by operator experience, concentration and working duration. Different inspectors may judge the same defect differently, and when roll volume increases, manual recordkeeping can become more demanding.

Vision-Based Inspection: Capturing Fabric Surface Information with Cameras

Vision-based fabric inspection systems use cameras and controlled lighting to capture fabric surfaces, then apply software to identify or record abnormal areas. Compared with purely operator-led inspection, such systems can retain images and location information for easier review.

Some automated optical inspection systems are configured to identify defined visual abnormalities, such as holes, interrupted regular patterns or surface differences on consistent material types. When the fabric and defect forms are relatively stable, these systems can help shorten inspection and recording work.

Fabric, however, varies in colour, pattern, stretch, pile and surface reflection. As product variety grows, systems relying heavily on fixed visual rules may require additional parameter adjustment for each material group.

AI Fabric Inspection: Moving from Defect Detection to Roll-Level Data

AI fabric inspection also uses captured fabric images, but applies trained data to identify different defect types. For factories processing larger numbers of fabric rolls, working with recurring defect categories or seeking structured quality information, AI inspection can extend the value of inspection beyond the machine itself.

The OSHIMA AI fabric insepction system is designed for knitted and woven fabrics, with operating speed adjustable from 10 to 40 metres per minute according to fabric type. The system identifies common fabric defects such as yarn knots, slubs, foreign fibres, warp and weft irregularities, broken yarn, horizontal lines, holes, stop marks, dye marks, colour spots, general stains, adhesive stains and oil stains. It also generates a defect distribution map and a detailed inspection report. For manufacturers, this provides value in three practical areas.

First, fabric inspection information can be retained as roll-level quality data rather than relying only on paper records or personal memory.

Second, a defect map can provide the cutting room with clearer information about where problem areas are located before the fabric is cut.

Third, as more fabric and defect records are collected, quality teams can more easily compare fabric types, batches and material sources over time.

AI inspection does not remove every need for human judgement. Special patterns, transparent or reflective surfaces, newly introduced fabrics and factory-specific defect categories can all influence recognition results. Actual fabric trials remain more useful than relying only on advertised defect lists or maximum operating speed.

Conventional, Vision-Based or AI Inspection: Which Approach Fits Your Factory?

Different inspection methods serve different factory conditions. Not every manufacturer must move directly to AI inspection.

A conventional inspection machine is suitable where fabric types vary frequently, daily roll volume is manageable and skilled inspectors remain central to defect judgement.

A vision-based system can support factories that want retained fabric images, location records and automated identification of selected recurring surface issues.

An AI fabric inspection machine is more relevant where factories handle larger roll volumes, frequently encounter recognised defect categories, want to reduce variation between operators and plan to use inspection reports in cutting and quality management.

The choice becomes clearer when it is based on daily production realities:

• Does the factory process knitted fabrics, woven fabrics or both?

• Are common issues mainly holes, oil stains and colour spots, or also structural irregularities, shade variation and tension-related problems?

• Is orderly rewinding and accurate length recording important after inspection?

• Does the cutting room need defect-position information before material is cut?

• Is the present difficulty inspection speed, inconsistent judgement or the lack of retained quality information?

Once these points are clear, selecting inspection equipment becomes more than choosing between manual inspection and AI. It becomes a way to build a fabric quality process suited to actual production.

Fabric Inspection Is an Essential Control Point Before Production

Fabric defects cannot always be prevented, but they can be identified and recorded before they become finished-garment problems. The earlier a factory understands fabric condition, the more effectively it can prevent defective areas from entering cutting and sewing.

Conventional inspection machines support direct operator judgement, length recording and orderly rewinding. Vision-based systems help retain images and defect locations. AI fabric inspection extends this further by incorporating defect recognition, distribution maps and quality reports into production management.

We provide automatic edge-alignment fabric inspection machines and the EagleAi/Plus AI fabric inspection system for knitted and woven material applications. From basic fabric checking and length recording to defect reporting and pre-cutting quality information, manufacturers can establish an inspection process suited to their materials and production workflow.