Garbage In, Garbage Out. An AI that has learned from incorrect data is useless.
There is an explanatory video, so please take a look. Garbage In, Garbage Out. An AI that has learned from incorrect data is useless. In fact, AI developers say they spend 80% of their time on data preparation. Can using the latest research results and the strongest algorithms solve the problem? No. Underestimating data will render even the strongest AI a wasted treasure. If you allow difficult-to-find defects mixed in with normal images to be learned, the result will be an AI that does not detect features similar to the mixed-in defects, and that is not the AI you expected. What a human can intuitively understand, AI cannot adapt to. So, should we thoroughly check all normal images to ensure that defects are definitely not present? That would be ideal, but it requires an enormous amount of time and attention. Roxy AI considers that inappropriate data is something that will mix in. Inappropriate data that has mixed in can be removed and cleaned up. With Roxy AI, data can be cleaned throughout the entire AI learning process. We clean the data and create conditions that make it easier for the AI to learn.
Inquire About This Product
basic information
For more details, please download the PDF or feel free to contact us.
Price information
Please contact our agency.
Price range
P5
Delivery Time
P1
Applications/Examples of results
【Usage Scenarios】 ■ Detect various types of defects (such as scratches and discoloration) ■ Detect foreign objects such as metal pieces, cardboard, and hair that have mixed into the products ■ Detect products or materials left on conveyor belts and cleaning equipment ■ Other inspections generally checked visually by humans *For more details, please download the PDF or contact us.
catalog（8）
Download All Catalogs
News about this product（1）
Company information
In small and medium-sized enterprises that support a large part of the manufacturing industry, it is difficult to secure engineers who are knowledgeable about AI. Additionally, in environments that are forced to produce small quantities of a wide variety of products, it is not realistic to outsource AI development each time. What is needed now is "AI that can be effectively utilized on-site." "Being able to effectively utilize it on-site" does not simply refer to the ability to easily create AI or to have a user-friendly interface. There are many AI inspection products that focus on finding highly accurate AI through repeated parameter tuning, but we adopt the approach of injecting the know-how of inspectors into AI to create high-quality AI. Roxy AI will cultivate high-quality AI by improving the quality of training data. To enhance the quality of training data, we incorporate unique features such as proprietary visualization technology and tactile feedback. Roxy is an AI inspection product that is closely aligned with the on-site needs, contributing to the improvement of productivity in the manufacturing industry.
![[Roxy AI Case Study] Inspection of Foreign Matter in Seafood](https://image.mono.ipros.com/public/product/image/b57/2000649762/IPROS06190466042911142613.png?w=280&h=280)
![[Video Available] That's why it's high precision! Roxy AI](https://image.mono.ipros.com/public/product/image/35d/2000657223/IPROS07460542255951714006.png?w=280&h=280)
![[Video Available] 'Roxy AI' Makes Detecting Foreign Objects in Dried Sardines This Easy!](https://image.mono.ipros.com/public/product/image/a97/2000727166/IPROS34550180444939971435.jpeg?w=280&h=280)
