SURRO Inspection | SURROMIND

Overview AI VISION Inspection

Deploy high-precision AI vision inspection on your existing inspection line — without replacing equipment or changing your workflow.

Current Inspection Challenges

Manual inspection limits

Variability

Results depend on operator experience.

Repeatability

Repeatability drops in repetitive work.

Fragmented data and closed systems

Siloed Data

Data is locked inside separate machines.

Real-Time Visibility

Factory-wide real-time use is limited.

SURRO Inspection

No Retrofit

Collects data without replacing existing equipment.

Data Standardization

Builds standardized datasets for AI operations.

Operational Control

Supports precise inspection and equipment control.

How it Works From existing inspection equipment
to real-time quality control

SURRO Inspection connects equipment, standardizes data, supports model development with Auto Labeling,
and turns inspection results into real-time control.

1

Connect

Captures data from
existing inspection equipment
without line changes.

2

Standardize

Turns fragmented machine data
into AI-ready standardized
datasets.

3

Model Development

Uses Auto Labeling to reduce
manual labeling effort and
speed up AI adoption.

4

Inspect

Applies AI models to detect
defects with speed
and precision.

5

Control

Turns inspection results into
alerts, control signals, reports,
and real-time responses.

Schematic Four core modules,
one connected inspection architecture

SURRO Inspection is built on DANC, DFM, AQM, and SVI to connect equipment, manage data,
accelerate model development and execute real-time inspection and control.

Operation One operational workspace
from data to deployment

SURRO Inspection supports data management, labeling, model training, and deployment
in one connected workspace for industrial AI inspection.

Data Management
Data Labeling
Model Training & Evaluation
Deployment & Application

Data Management

Organizes inspection data from multiple sources into a searchable and manageable dataset.

Source Integration

Collects and manages image and inspection data from multiple equipment sources.

Dataset Organization

Sorts data by product, process, class, and status for structured dataset management.

Search & Filter

Finds required data quickly with search, filtering, and status-based views.

Data Labeling

Builds training data from inspection images with direct annotation and AQM-based labeling support.

Visual Annotation

Marks defect regions directly on images with boxes, masks, or class labels.

Auto Labeling

Automatically generates labels for inspection data to reduce manual annotation work.

Data Quality Check

Evaluates image quality and selects low-confidence or inconsistent data for review.

Model Training & Evaluation

Trains AI models, compares performance, and identifies the best model for deployment.

Training Workflow

Runs model training on prepared datasets within the same operational environment.

Performance Evaluation

Reviews key metrics and compares model performance across training results.

Model Selection

Selects the most suitable model for field deployment based on evaluation results.

Deployment & Application

Deploys validated models to the field and connects inspection results to real-time operation.

Model Deployment

Applies selected models to target lines and inspection environments.

Live Inspection

Runs AI inspections in production and displays results directly on screen.

Operational Response

Connects inspection outcomes to alerts, monitoring, and line response in real time.

Key Features Precision inspection and
automated AI operations in one system

SURRO Inspection combines high-precision visual inspection with automated data,
model, and deployment workflows to support practical AI operations in industrial environments.

Precision Inspection

High-Resolution
Patch Inference

Analyzes high-resolution images in patch units to detect fine defects with greater precision.

Classification, Detection
& Segmentation

Supports multiple AI inspection tasks in one system for more flexible defect analysis.

Anomaly Detection

Detects unseen or undefined defects by learning normal patterns and identifying abnormal deviations.

AI Operation Automation

Auto Labeling

Reduces manual labeling effort and speeds up dataset preparation for AI model development.

Data Quality Assurance

Evaluates image quality and filters low-confidence or inconsistent data for reliable model training.

On-Prem Model Training
& Deployment

Trains, updates, and deploys models within on-premise environments for secure field operation.

References Proven outcomes across
real inspection environments

SURRO Inspection improves inspection accuracy, response speed, and operational efficiency across diverse manufacturing environments.

Integrated Vision Inspection
Precision Inspection & Real-Time Control
High-Precision Inspection Automation

Integrated Vision Inspection

Unifies heterogeneous inspection environments into one high-accuracy AI workflow.

Integrated Accuracy 99%

Real-Time Inference Speed +50%

Miss Rate Within 2%

Laser Soldering

Micro Needle

Pressure Sensor Inspection

Precision Inspection &
Real-Time Control

Connects precise AI inspection to real-time control for process and layer quality.

Real-Time Inference Speed +30%

Integrated Accuracy 99%

Laser Soldering

Sand 3D Printing

High-Precision Inspection Automation

Combines high-accuracy AI inspection with measurable gains in productivity and operational efficiency.

Accuracy up to 99.3%

Throughput +310%

Review Time -66%

Bonding Capillary Inspection

Probe Tip & PCB Inspection