Vision AI that sees the manufacturing floor accurately

From fragmented hardware setup to AI modeling, judgment, and feedback — integrated as one flow to deliver the smoothest inspection workflow on the floor.

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On-floor operating bottlenecks

Tailored inspection that adapts to on-floor issues

By analyzing the customer's actual data and environmental constraints from multiple angles, we establish the most appropriate and stable judgment criteria for each process.

Before

Ambiguous judgment criteria across various types of defects

Apply a stable defect detection algorithm

After

Established accurate judgment criteria to maintain consistent production yield

From vision model to inspection operation

The key is securing reusable model assets and operational flow even as inspection targets and production conditions change.

  1. Industry-trained model

    Pre-trained approach that understands texture, shape, and micro-defect patterns

    • Initial validation on small datasets
    • Retraining candidate management per product group
  2. Custom operation modes

    Standardized inspection types fast, high-difficulty processes customized

    • Leverage similar-process solutions to shorten lead time and secure stability immediately
    • For unprecedented, demanding environments, optimize end-to-end — AI model, rule-based algorithms, and the system — to match on-site conditions
    • From SW-only deployment to optics setup and equipment build (Turn-key), delivered flexibly to match the customer's infrastructure
  3. Quick review

    Designed for operators to check review results quickly and easily

    • Detection results and reference images
    • Confidence scores and review history
  4. Condition-based validation

    Inference performance validation system

    • Validate throughput and latency by line speed, camera count, resolution, and GPU/edge equipment conditions

Scenarios where you can expect the biggest impact at rollout

Unwavering accuracy across countless variables and limited data. AIVision delivers the inspection answer for the most demanding manufacturing environments.

  • 1

    Surface defect inspection

    Detects micro-defect candidates on metal, film, batteries, and electronic parts — reducing review workload.

  • 2

    Multi-product visual inspection

    Systematically manages inspection criteria and model improvement candidates in environments with frequent SKU changes.

  • 3

    Processes with limited defect samples

    For new processes without enough defect data, we approach with anomaly detection combined with on-site feedback.

Uncompromising, overwhelming performance

From large-scale data processing to ultra-fast 100% inspection, providing the optimal inspection environment that doesn't slow down floor throughput.

  • High-resolution data processing

    Large-scale high-speed processing

    Inference and data storage at 87 MB/s

  • Micro-defect precision detection

    Deep-learning inspection for complex parts

    Inference and data storage at 55 MB/s

  • Mass production line optimization

    Ultra-fast full inspection without error or delay

    150,000 units/day full inspection · pure Vision judgment under 0.3s

The differentiation of the foundation model, AIVEX starts differently from the beginning.

Unlike generic AI that demands clean data, we learn while overcoming the scarcity of defect data and labeling noise that are inevitable on the manufacturing floor.

Comparison
Training data volume36× reduction
Existing competitor155,282 images
AIVEX4,284 images

Why is AIVEX's foundation model special?

  • Noise-Robust Loss FunctionEven when mislabeled training data is mixed in, the model filters it out on its own and maintains accuracy.
  • Long-tail SamplingRare defects that almost never occur on the floor are trained with the same weight as frequent defects.
  • Up to 3× faster processing on the same hardwareMore inspection throughput on your current hardware without paying for more expensive servers.
  • World's first mass production of large-scale full-surface inspectionReference: a leading Korean manufacturer.

Wondering about rollout units and operating conditions?

Check the questions we hear most often

Q.Can AIVision be implemented on its own?

Yes, AIVision can be implemented independently. When deployed together with AIVData and AIVOps, the operational loop effect becomes even greater.

Q.What deployment modes are available?

We support three modes: turnkey (including camera and lighting), software-only, and model-only. The appropriate option is selected during the PoC phase to match line conditions.

Q.Is it compatible with existing cameras and line equipment?

It is compatible with major industrial cameras, lighting, and PLCs, and compatibility is assessed during the PoC diagnostic.

Experience proven AI innovation firsthand on your floor

Based on your current data infrastructure and rollout flow, we review the PoC scope and the impact you can expect — together.