AI vision for quality teams

Catch quality issues before they leave the line

Build AI vision applications that inspect equipment or products, verify processes, and flag quality issues automatically. No model training or computer vision team required.
Start from a template
Visible Release Detection
Clinical PPE Protocol Check
GMP Hygiene Check
Food Safety Analysis
MRF Feed Quality Tracker
Packaging Defect Check
Service Queue Pressure Analysis
Check-in Queue Orchestrator
Trusted by Fortune 500

AI for Quality Assurance

What quality teams build with Viso

Automate visual inspection

Inspect products, parts, packaging, surfaces, and assemblies for visible quality issues at every stage of production. Turn checks that currently depend on sampling or manual inspection into repeatable AI vision applications that review every step from image or video.
  • Damage detection
  • Process QA
  • Surface inspection
  • Anomaly detection
Box detection in warehouse with damage assessment and object recognition.
workstation staffing compliance

Verify process quality

Use visual evidence from production to identify conditions that can create quality problems. Analyze handling, material placement, workstation conditions, and visible process deviations without relying only on the final inspection result.
  • Process quality
  • QC automation
  • Production monitoring
  • Quality control

Catch process deviations

Verify that products visually match the expected specification, configuration, shape, color, orientation, or reference condition. Give quality teams a practical way to automate checks that depend on knowing what the finished product should look like.
  • Non-conformance
  • Specification checks
  • Visual consistency
  • Deviation detection
Defect detection on industrial mechanical parts, highlighting damaged and quality-controlled items.
Shipping label verification transformed by AI Vision.

Verify labels and markings

Inspect labels, dates, codes, symbols, gauges, and visible product information. Check seals, codes and presentation against quality requirements. Automatically flag mismatches, missing information, poor print quality, or items that do not meet the expected specification.
  • Label verification
  • Seal integrity
  • Visual inspection
  • Specification checks

The Viso Advantage

Inspect more without adding more inspection work

With Viso Now, quality teams can describe what good and bad look like, replace manual checks or complex vision systems, and build a working vision application that is flexible.

Inspect continuously

Analyze far more products, worstations and process steps than manual sampling allows.

Catch issues faster

Surface quality problems closer to where they occur, before additional processing or shipment.

Capture evidence

Keep visual evidence of detected quality issues for review and root cause analysis.

Adapt quickly

Change inspection criteria when products, packaging, or quality requirements change.

Customer stories

"We had a recurring packaging issue that was difficult to flag through manual checks. We showed Viso Now examples from the line and had something useful to test the same day."
DK
Damian K.
Head of Quality · Industrial Manufacturer
"Our inspectors know exactly what defects matter. The big difference is that they can now turn that knowledge into an automated check without the need for an expensive AI computer vision development project or external vendors."
MI
Mark I.
Quality Engineer · Automotive Supplier

FAQ

Frequently asked questions

It can automate many visually observable checks and help teams inspect far more consistently. Human review can still be kept for ambiguous findings, critical decisions, or quality processes that require it.

No. You can start by describing the inspection and providing representative images or video. This makes it practical to test quality checks that would traditionally require datasets, annotation, and custom model development.

Yes. You can build applications around different products, conditions, and inspection rules and adjust them as your process changes.

Yes. Viso Now can work with visual media from cameras and connected storage sources, so teams can start with sample footage and later automate the input.

Yes. Detected issues can be structured, classified, reviewed, and used to create metrics around defect types, frequency, locations, and trends. Viso Now provides the ability to build live dashboards that update automatically.

Yes. Detected events and data can be passed into downstream systems using connectors and APIs, depending on the quality system and workflow you use.

For enterprise deployments, Viso Suite provides controls over where visual data is stored, processed, and governed, with flexible edge and infrastructure deployment options. It is designed for organizations with strict privacy, security, and regulatory requirements.

Ready to build?

Build your quality inspection system in minutes. Show Viso Now what you want to inspect and turn it into a working AI vision application.