Personal Protective Equipment AI Visual Inspection Equipment
Personal protective equipment AI visual inspection equipment: for PPE such as safety helmets, protective gloves, safety shoes, safety goggles and protective masks, it inspects appearance defects, structural integrity, assembly completion and marking quality, and outputs OK/NG.
Products Overview
Injection-molded parts + fabric + assembly: one machine covers multiple inspection tasks
The personal protective equipment AI visual inspection equipment is used for appearance and structural inspection of products such as safety helmets, protective gloves, safety footwear, goggles and protective masks. Using industrial cameras and light sources it identifies scratches, sink marks, flash, missing parts, incomplete assembly and marking defects, outputs OK/NG and interlocks with sorting.
Inspection tasks for personal protective equipment usually go beyond "checking appearance". Safety helmets have appearance requirements for injection-molded parts (scratch, sink mark, flash) as well as assembly requirements (whether the headband liner is seated correctly and whether the clips are locked tight); masks and gloves require structural integrity checks in addition to appearance.
This means that a single workshop often contains Several different inspection requirements: injection-molded part appearance, assembly confirmation, character and marking recognition. These happen to be mature application scenarios for industrial vision.
Personal protective equipment usually means high volume and low unit price, so the inspection solution needs to Balance cycle time and cost: If one station can handle it, do not split it into three.
- Covered categories: safety helmets, protective gloves, safety footwear, goggles, and protective masks
- Inspection tasks: appearance defects + assembly confirmation + marking recognition
- Process characteristics: injection molding + fabric + assembly combined
- Solution focus: merging multiple tasks into as few stations as possible
Core Functions
What the Equipment Can Do and How Far It Can Go
Injection-Molded Part Appearance Inspection
Detects common injection molding defects such as scratch, sink mark, flash, short shot, black spot, and color difference.
Assembly Seating Confirmation
Confirms whether parts such as helmet liners, clips and webbing are properly assembled.
Missing and Extra Parts
Verify part count and position by position number to prevent missing or wrong parts.
Identifier and Character Check
Checks whether characters such as markings, model and production batch number are clear and complete.
Structural Integrity
Checks whether products such as masks and gloves have a complete structure and no damage.
Multi-task Merging
Appearance, assembly and character checks are completed at the same station, reducing the number of stations.
inspection Object
Head Protection
Injection-molded appearance, liner assembly and marking inspection for safety helmets
Hand and Foot Protection
Appearance and structural integrity of gloves and safety shoes
Respiratory and Eye Protection
Structural and appearance inspection of masks and goggles
Other Protection
Appearance and assembly inspection of reflective vests, protective clothing, earmuffs and similar items
inspection defect
| Defect Types | Typical Products | Inspection Focus Points |
|---|---|---|
| Scratch / Abrasion | Injection-molded parts and goggles | Transparent parts require dedicated illumination |
| Sink Mark / Deformation | Safety helmets and injection-molded parts | Regular in form, suitable for judgement combining contour and grayscale |
| Flash / Burr | Injection Molded Parts | Contour edge extraction is the most direct approach |
| Black Spot / Foreign Matter | Injection Molded Parts | High contrast against the background; distinguish it from texture |
| Missing part / not fully seated | Helmets, Face Masks | Verify by Reference Designator |
| Unclear marking / missing characters | All Categories | OCR and Template Matching |
| Structural Damage | Masks, Gloves | Transmitted-light imaging is suitable for thin materials |
Working Principles
- 01 Loading or feeding into the inspection position
- 02 trigger capture
- 03 positioning
- 04 Appearance defect judgement
- 05 Assembly seating judgement
- 06 Identifier and character judgement
- 07 Result Composition OK / NG
- 08 NG rejection
- 09 Data Recording
Relationship Between Imaging and Judgement
The key points in designing an inspection solution for protective equipment are Task Merging: if the three types of task — appearance, assembly and characters — can be completed on the same set of images at the same station, repeated loading and unloading and extra stations are eliminated, which is critical in low-unit-price, high-volume scenarios.
Vision System
How Cameras, Lenses, Light Sources and Controllers Are Configured
industrial camera
Select area-scan or line-scan by field of view and minimum defect size; continuous web materials usually use line-scan cameras
- Area-scan camera: fixed-shot, single-piece and intermittent feed applications
- Line-scan camera: for continuous material travel, wide areas, and even-interval imaging
- Pixel equivalent is derived backwards from "minimum resolvable defect ÷ desired pixel count", rather than fixing the camera first
lens
Determines field of view, distortion, and depth of field; precision measurement requires telecentric lenses
- Standard industrial lens: low cost, suitable for appearance inspection
- Low-distortion lens: for large-format applications where the edges must also be judged
- Telecentric lens: suitable for hole diameter, contour and dimensional measurement
- Depth of field must match material waviness and fixture repeat positioning accuracy
Light Source and Illumination
Whether defects in flexible materials can be captured depends largely on the lighting
- Diffuse light: uniform illumination, suitable for color difference and stain applications
- Low-angle light: highlights scratches, indentations, wrinkles and other surface relief
- Backlight/transmitted light: highlights holes, damage and short shot
- Coaxial light / stripe light: suppresses reflection, suitable for coated or highly reflective surfaces
Controllers and Industrial PCs
The platform for running algorithms, outputting results and interlocking with the production line
- An industrial computer or vision controller runs the algorithms
- A light source controller handles brightness adjustment and strobe synchronization
- Interacts with the PLC to complete interlocking, alarming, and rejection
AI algorithm
Choose the Algorithm by Defect Form, Not by Complexity
Template Matching and Positioning
Locate first, then judge. Every defect judgment is built on a stable coordinate system.
- Shape matching / gray-scale matching: good stability, suitable for fixed stations
- Align first, then split the regions, to avoid false calls caused by position drift
Blob and Morphological Analysis
Suited to defects such as stains, holes and foreign matter that show a clear grayscale/color difference from the background
- Threshold segmentation → connected component statistics → judgement by area / aspect ratio / circularity
- High requirements on illumination stability; the light source must work with the fixture
Edge and Contour Measurement
Suitable for dimension, contour, hole position and spacing judgements
- Sub-pixel edge extraction to obtain a contour point set
- Fit lines/circles/arcs and calculate length, diameter, angle and position tolerance
Deep Learning (Classification / Detection / Segmentation)
Suited to defects such as scratches, wrinkles and skipped stitches, whose shapes vary and are hard to describe with rules
- When defect forms are irregular, it is difficult for rule-based algorithms to enumerate them all
- Requires OK / NG sample training; sample quantity and coverage determine the upper limit
- Enables pixel-level segmentation and outputs defect length, width, area and position
Automatic Alarm and rejection
How inspection results act on the production line
Inspection results are not only shown on a screen. Workpieces judged NG need to be Mark the position and interlock rejection or sorting, and archives the image and judgement result for that part for later traceability and re-judgement.
The alarm method is set according to site practice: audible and visual alarm, on-screen pop-up, PLC set bit, or all three at once. Critical defects and general defects can use different handling strategies — the former stops the machine and alarms, the latter is only marked.
- 01 image acquisition
- 02 Positioning and region segmentation
- 03 Defect Judgement
- 04 Combine results into a single OK / NG per piece
- 05 Result sent to PLC
- 06 NG Rejection / Sorting
- 07 Image and data archiving
data traceability
Records, Queries and Quality Closed Loop
Per-Piece Records
The judgment result, defect type, defect position and timestamp of every part are written to the database
- Supports retrieval by time, batch and defect type
- NG image retention for re-judgement
Batch and Recipe
Different products use different recipes, called up at changeover to reduce manual parameter tuning
- Recipes store the inspection region, thresholds and algorithm parameters
Production Line Data Integration
Exchange inspection data with the MES / host system
- Output pass rate, defect distribution and other statistics
- The interface method depends on the site system
equipment configuration
Optional Configuration Items and Selection Logic
| Configuration Item | Description |
|---|---|
| Applicable Categories | Safety Helmets / Gloves / Safety Shoes / Goggles / Masks / Protective Clothing |
| Inspection Task | Appearance defects + correct assembly + missing parts + character markings |
| Loading Method | Automatic loading / manual loading (choose by requirement) |
| Inspection Speed | To be added |
| inspection accuracy | To be added |
| communication method | I/O · TCP · RS485 · Modbus · S7 · Profinet |
| Enclosure and Power Supply | To Be Confirmed on Site |
Application Industry
Which Industry This Equipment Is Usually Installed In
Applicable Materials
Detectable Material Types
Common Question
Can the liner assembly of a safety helmet be inspected?
How are scratches on transparent safety goggles detected?
Can one station perform appearance and character checks at the same time?
How is the over-rejection rate controlled at high volumes?
How much manual labour does the equipment require?
What Information Do You Need to Provide?
Submit sample testing
Protective gear usually has three types of inspection requirements at the same time: appearance, assembly and character. Please provide samples of each type and the assembly position numbers to be verified, and we will evaluate them together.
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Send Us Your Workpiece and We Will Show You the Measured Results
Equipment configuration varies with the inspection object, field of view and cycle time. Provide OK and NG samples and we will run actual imaging and judgement tests and recommend the corresponding model and configuration.