Application Area
Mercury Tool

- High-speed Judgement/Classification of Accepted/Defective Products

- High-speed Object Classification

Mars Tool

- Atypical Crack, Defect, Damage, Stain

- Fine Detection of Solar Panels and Inspection of LCD Sensitivities

Venus Tool

- Pattern Matching, Detection of Object Location, Counting

OCR Tool

- Embossed/Engraved Character, Dot Character

- Complex Background, Atypical Character Arrangement

- Various Colors/Sizes/Fonts


What is the NAVI AI, vision inspection software using artificial intelligence?

It overcame the limits of vision inspection with deep learning algorithm.

It makes vision inspections more convenient by the machine learning-based study.

It's the most accurate and convenient OCR reading in the world.

Screen Composition of Vision Inspection Software

Menu & Toolbar

The menu is a hierarchical structure that allows you to conveniently perform all vision inspections, consisting of Mode / File / View / Inspection / Tool / Window / Help. And the function frequently used is provide as the form of icon in toolbars.

Display View

It shows imported images (or camera images) and real-time results set by the tool.


It provides easy learning to make a master of vision by using a project with tutorialized representation.


Inspection Tool

Clients can manufacture any kind of vision inspection that clients want by using powerful function that 20 deep learning-based tools (NAVI AI Mercury / Venus / Mars) and computer vision-based tools.

Inspection Sequence Window

Applications built in the vision inspection tool can be sorted by inspection sequence, from a single vision inspection to a composite vision inspection, with a single vision software

Key Functions

Deep Learning Algorithm Tool

NAVI AI Mercury

NAVI AI Mercury is available for high-speed accepted/defective judgment and high-speed object classification.
NAVI AI Mercury runs at a much faster rate, omitting the location tracking algorithm.

How to set up NAVI AI Mercury for the vision inspection?

NAVI AI Mercury learns itself with a deep learning-based algorithm. You only need to prepare accepted/defective images.

How does NAVI AI Mercury work?

< Learning Process >
User inputs accepted/defective learning data
NAVI AI creates hundreds to thousands of images and learns by itself

< Inspection Procedure >
User inputs the image for inspection
Output whether the product is accepted or defective


NAVI AI Venus is applied to the pattern matching, object position detection, and counting.
It applies deep learning and can detect through learning even in very complicated environments such as incomplete optical environment, bad focus, superposition of object, low light environment, complex background, and change of object scale.
NAVI AI Venus accurately detects the location of an object and displays it in a square box ROI form.

How to set the NAVI AI Venus on the vision inspection?

All you have to do is set the reference image or pattern with the mouse..
NAVI AI Venus uses ImageGen ™ technology to create hundreds to tens of thousands of data for learning and learns how to detect even in the challenging environments.

How does NAVI AI Venus work?

< Learning Process >
User sets the inspection object with the mouse
NAVI AI learns by using deep learning

< Inspection Procedure >
User inputs the image for inspection
NAVI AI Venus detects and outputs the location of the inspection


NAVI AI Mars can be used in areas where vision inspection is tricky, such as atypical crack, defect, damage, and detection of stain spot. It solves the intricate problems including inspection on surface/exterior of metals, detection of the fine defect on solar panels, fabric inspection (Seam/Stain/Thickness/Cutout/Attachment), detection of defective parts, inspection on LCD sensitivities, and X-ray/CT/MRI/ultrasonic waves inspection for medical area. A deep learning-based semantic segmentation based is applied and accurately displays the defect spot on the screen.

How to set up NAVI AI Mars on the vision inspection?

Settings of NAVI AI Mars are similar to NAVI AI Mercury.
It learns by itself with deep learning-based algorithm, and all you need to do is to prepare the accepted/defective images

How does NAVI AI Mars work?

< Learning Process >
User inputs accepted/defective learning data
NAVI AI learns after creating hundreds to thousands of images

< Inspection Procedure >
User inputs image for inspection
NAVI AI Mars outputs whether the product is accepted or defective + displays the defect spot


NAVI AI OCR is used for reading tricky optical character.
NAVI AI OCR applies the optimized character segmentation technology for reading industrial optical character based on the world's best deep-running algorithm, and improved the inconvenience that learning should be made by existing users.

Is there any performance difference between NAVI AI OCR and existing Computer vision-based OCR?

To maximize the performance of NAVI AI OCR, Laon People has already made to learn various industrial fonts in various sizes in various environments, and has verified the reading performance beyond human recognition level through internal verification.

Powerful OCR Reading Performance
- OCR reading in complex backgrounds
- OCR reading of various colors
- OCR reading of various sizes
- OCR reading of various fonts
- OCR reading in irregular character arrays

What is the convenience of NAVI AI OCR over existing OCR technology?

Existing OCR technology requires human's help as it adapts the learning in the low-level.
NAVI AI OCR provides the result of reading character without human intervention by automatically segmenting the character in the established inspection area and learning by itself. In addition, it provides a UI for cross-checking with the user for new character types, such as characters or handwriting that are considered to have poor reading accuracy, to provide a more accurate result of reading.