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Deep Learning-Based Solutions for Machine Vision Inspection
Find Defects Quickly and Accurately
Workflow
All-in-one Solution for Automated Machine Vision Inspection
Functions
From Basic Defect Detection to Advanced Functions that Optimize Performance
Classification
Classifying images based on
user-defined types.
Detection
Detecting defects in images.
(bounding box)
Segmentation
Detecting defects in
images at pixel level.
OCR
Detecting text and character location
in images.
Image Anomaly Detection
Detecting defects using
only normal training images.
Defect Generation
Generating realistic defect images.
Image Enhancement
Enhancing low-quality images
for increased resolution and quality.
Classification
Classifying images based on
user-defined types.
Detection
Detecting defects in images.
(bounding box)
Segmentation
Detecting defects in
images at pixel level.
OCR
Detecting text and character location
in images.
Image Anomaly Detection
Detecting defects using
only normal training images.
Defect Generation
Generating realistic defect images.
Image Enhancement
Enhancing low-quality images
for increased resolution and quality.
Tutorial
Get Started on Creating a Deep Learning Model
Features
Superior Performance, Easy Operation, Minimal Maintenance
Feature
1
Superior Defect Detection Performance
Deep learning algorithms specialized for manufacturing inspection minimize both false positives and false negatives
Feature
2
Labeling Assistance Functions
A suite of features to make labeling convenient and error-free.
Manual Annotation
32.3 s
Annotation Time
72 clicks
Completion
ACCURACY
75%
Automated Annotation
8.4 s
Annotation Time
11 clicks
Completion
ACCURACY
95%
Feature
3
MLOps for Efficient Model Operation and Maintenance
Advanced features ranging from model performance monitoring to automatic deployment and retraining are provided.
Model performance monitoring
Model performance is automatically monitored continuously, providing information on operations and signaling when retraining is necessary.
Data collection and management
New data acquired in real-time is evaluated and classified for future model retraining.
Model training
Labeling assistance functions model retraining simple.
Model management and deployment
A/B testing is conducted prior to new model deployment, and model status and deployment history is managed.
Contents
Accomplishments We Have Achieved with Customers in the Field
Industries
The SAIGE solution which understands industries best
SAIGE VISION is being applied in various industries with high accuracy and reliability.
Learn more →
Case Study: Enhancing Quality Control in Rechargeable Battery Manufacturing with SAIGE VISION
A Peek into Automatic Data Augmentation by Policy Searching
Make an Inquiry about Product
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