Making the world


Making the world brighter

The combination of engineering and optics will change the future of quality inspection.
Optics is the study of the properties of light and the interaction with objects.

By using the power of light, visualization of flaws, features, and indistinguishable
colors which could not be captured in photographs,
is now possible by affordable and high-performance quality inspections.
By combining existing engineering technologies such as AI and image processing
with optical technologies, our technology will support manpower shortages,
product quality improvement, and factory automation.

By standing on the shoulders of giants, we will brighter the world from Japan.

Problem solving based on optical technologies

With lighting and machine learning at its core, we will provide solutions to various issues in
manufacturing industry and precision components production, which leads to the support of inspection and testing of products and chemicals,
and efficient monitoring/management of production facilities.


Lighting Equipment
Lighting & power supply

We provide self-developed lighting and power supply designed for line cameras. We have developed lighting that enables us to photograph scratches on object surfaces that were not possible to capture with conventional lighting. Since the lighting has been developed with high versatility, it can be installed for various purposes in a affordable price.

Lighting Environment
Made-to-order tuning

We design lighting environment necessary for capturing an target tuned for each customer. The lighting will be able to capture scratches, foreign objects, positive and negative reactions of liquid chemicals, etc., which are impossible by conventional photograph methods.

Automatic Inspection AI
Development of classifier

Designing and developing AI to automate inspections that were performed by humans, such as detection of scratches, foreign objects, and defective products. We use our knowledge of the optics required for photography to highlight defective products and design the best AI classifier for particular issues.