Visual inspection using a combination of AI and rule-based methods for more stable inspections.
Would you consider using a combination of AI and rule-based methods to conduct inspections correctly?
When using AI for visual inspection, it is essential to first gather images of both good and defective products. Would you consider exploring a rule-based approach to solve these issues? By following these steps, stable visual inspection with AI can be achieved. [Contents of Proposal 4] - Collect a large number of accurate images - Train the AI on accurate images - In that case, is AI really necessary? Thinking about the future, I want to use AI, but I'm worried if it can truly perform inspections. If you feel this way, please take a moment to read this.
basic information
*Please download the catalog in PDF for details.* **Features of iVision proposed by ADD** - By conducting verification in advance, we build an appropriate imaging environment. We will construct the equipment after confirming the suitable imaging environment with the samples provided. - A system centered around software allows for full customization. It is possible to simultaneously handle various defects, dimensions, and character recognition according to customer needs. - You can freely choose the installation style. Depending on the installation location and work style, we can provide various styles, including handheld devices, inline inspections, and fully automated systems for sorting and classifying defective products. - We provide reliable support from delivery to operation. We handle everything from equipment installation to initial setup and operation instructions.
Price information
The price range varies greatly depending on the composition. If you let us know your desired details, we will first provide you with an estimated quote.
Delivery Time
Model number/Brand name
Image Processing Visual Inspection System "iVision"
Applications/Examples of results
[Achievements] - Metal parts inspection - Fabric products inspection - Food inspection