What is Phoenix Vision,
the AI Training & Verification Software?
Phoenix Vision is a software equipped with multiple AI algorithms, allowing anyone to easily perform AI training and verification.
The "training" process required for AI visual inspection is carried out through a task called annotation.
The models built through this process are then used by inspection software such as Phoenix Eye and Phoenix Analyzer to perform automated inspection.
Despite its simple operation, it is a training and verification software that harnesses state-of-the-art AI technology to achieve "highly accurate inspection automation."
Do Any of These Challenges Sound Familiar?
- You want to implement AI visual inspection, but the operation seems too complex
- The types of AI algorithms available are limited and cannot cover your inspection requirements
- You already have existing equipment and are concerned that integration may be difficult
- Only specific workers are able to adjust or change the settings
- You have attempted to automate inspection before, but gave up because the results were unsatisfactory
4 Key Features of Phoenix Vision
AI Algorithms in Phoenix Vision
Phoenix Vision offers 4 types of detection methods.
By selecting and combining these methods, it is possible to train the system to recognize virtually any feature.
Classification
Sorts images according to specific criteria and identifies the type of detection target.
Detection
Recognizes and detects the features of specific objects present in an image.
Region Extraction
When defects are present in a product, they can be individually identified regardless of their shape or size.
Good Product Learning
Trains on good product data to create a reference model, then detects any deviation from the learned features as an anomaly.
Free Verification Testing Before Implementation
To ensure even first-time AI adopters can explore the technology with confidence, we offer free initial testing and report preparation. Testing is conducted using the latest algorithms, with comparison across multiple models.
On-Site Assessment
Reviewing imaging conditions suited to the on-site environment
Work Test
Product imaging and AI inspection model verification
Report Preparation
Preparing a report and explaining the verification results
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