Inspection speed, up to
Reported for the nonwoven production-line inspection case.
MANUFACTURING QUALITY Production-line cases reported
Inspection starts with your material.
Custom optics, mechanical integration, algorithms and software for production-line inspection. The nonwoven case reports up to 15 m/s, a minimum defect area of 0.25 mm² and a missed-defect rate below 0.1%.
Discuss a defect evaluation ↗Technical highlights
The capability, in detail.
Reported capabilities and figures from the supplied technical profile, with their application context.
Minimum detectable defect area
An area threshold in the nonwoven case, not a 0.25 mm linear resolution.
Missed-defect rate
Reported for the nonwoven case; the profile does not disclose the full test sample or denominator.
Production-quality applications
Nonwoven defects, TPU tyre black spots and pickleball rebound height.
Source: Technical Capabilities — External Presentation · 2026-08 · pp. 7. Source and scope ↓
Engineering overview
Machine vision inspection for production lines
Formivis develops the complete inspection chain: optical design, mechanical structure, detection algorithms and software. The profile describes three concrete applications, spanning surface-defect detection and automated physical-performance inspection.
Principle & workflow
From production motion to quality evidence
InputCapture the product
The optical and mechanical setup is designed around the material and production process. A high-speed camera can also observe a pickleball drop and rebound.
ProcessExtract what matters
For nonwoven fabric, suppress background dot patterns to expose insects, stains or tears. The TPU case identifies black spots; the pickleball case measures the rebound apex.
OutputReport the result
Provide application-specific inspection results. In the rebound-height case, the profile describes an automatically generated quality report for each ball.
Nonwoven inspection
Remove the background pattern
A proprietary algorithm suppresses the dot-pattern background of nonwoven material so insects, oil stains and tears can be distinguished from the substrate.
End-to-end integration
Match the production process
Develop optics and mechanical mounting together with algorithms and the software interface, so the system fits the line’s pace and installation conditions.
Automated measurement
Measure behavior as well as appearance
High-speed imaging extends inspection from visible blemishes to rebound-height measurement and individual quality reports.
Inspection applications and outputs
| Application | Target / measurement | Output described |
|---|---|---|
| Nonwoven production line | Insects, oil stains, tears and other defects after background-pattern suppression | Online defect identification; production-line testing reported. |
| TPU tyre production | Black spots and related surface defects | Real-time online inspection for production consistency. |
| Pickleball quality control | Highest rebound point after a fixed-height drop | Automatic apex identification and a per-ball quality report. |
Applications & value
Where the engineering matters.
Profile-reported case
Nonwoven fabric defect inspection
The profile reports production-line validation at up to 15 m/s with a 0.25 mm² minimum defect area and <0.1% missed defects. Width, contrast and defect-class acceptance belong in the line-specific scope.
Profile-reported case
TPU tyre black-spot inspection
An online real-time system identifies black-spot defects on a TPU tyre production line. The profile provides no transferable defect-size or speed figure for this case.
Profile-reported case
Pickleball rebound-height QC
A high-speed camera follows a fixed-height drop, identifies the rebound apex and generates a quality report for each ball. Measurement tolerance is agreed during system scoping.
Who it's for
Machine vision inspection for production lines
Quality and manufacturing teams inspecting nonwoven materials, TPU tyres or the rebound performance of pickleballs, with a custom system matched to the actual line.
Bring the application, representative inputs and acceptance criteria. We will connect the relevant technology and platform to a defined engineering deliverable.
What we start with
- Defect classes and representative material samples
- Line speed, width, lighting and installation constraints
- Acceptance criteria for missed defects and false alarms
What the scope can include
- A line-specific optical, mechanical, algorithm and software solution
- Defect identification or automated rebound measurement, depending on the application
- An agreed acceptance test and reporting/data interface
Before we begin
Common questions
What performance does the nonwoven case report?
The technical profile reports inspection speed up to 15 m/s, minimum detectable defect area 0.25 mm² and missed-defect rate <0.1%. These are case-specific figures; line width, sample composition and the complete test protocol are not provided.
Does the system only inspect fabric?
No. The profile also describes real-time TPU tyre black-spot inspection and automated pickleball rebound-height measurement with a quality report for each ball.
What does the reported novelty assessment establish?
The profile references a novelty-search assessment. It should not be represented as an international product certification or as an independent validation of every performance figure.
The next step