AI Appearance Inspection [RoxyAI] Explanation - Image Integration Edition
Explaining the features of the appearance inspection software "Roxy AI"! This time, I will explain the convenient feature [Image Integration] in detail!
Would you like to start automating visual inspections, which are currently judged by human hands, eyes, and experience? Eliminate the black box! Understandable and tangible! Usable on-site! Introducing the AI visual inspection product 【RoxyAI】, which pursues simplicity for "on-site usability": - Determines whether defects are included in the inspection area / Identifies types of defects / Detects unknown defects - Learns features from a small amount of training data / Unique high-speed and high-precision AI algorithm (patent pending) - Unique visualization technology that is easy to understand even for those unfamiliar with AI (patent pending) - Understand weaknesses by checking the sensitivity of the AI through touch. Anyone can easily use it without AI knowledge. Our company leverages its experience in designing and manufacturing dedicated machines, inspection machines, factory logistics, and automation systems in the FA field to offer proposals and support for AI verification, real machine evaluation, and automation of visual inspection processes. We also support the automation of production processes, including pre- and post-inspection processes, so please feel free to contact us first. Sanki Co., Ltd. (Atsuta-ku, Nagoya) is the official distributor of RoxyAI.
basic information
【Image Integration Process】 Step 1: What is Image Integration? A convenient feature to enhance the efficiency of Roxy AI's learning and inspection. Step 2: Imaging 1 Capture images so that the metal parts of products made of metal and resin are visible. Step 3: Imaging 2 Capture images so that the resin parts of products made of metal and resin are visible. Step 4: Imaging Results When adjusted for metal, the resin appears dark, and when adjusted for resin, the metal appears overexposed. Step 5: Execute Image Integration Each defect becomes easier to see. Step 6: Proceed to AI Model Creation...
Price information
The three machines are proposal-based and support our customers' "troubles." 【Purchase Method】 We can offer payment plans that meet our customers' needs, not only through cash purchases but also in collaboration with partner leasing companies. Recently, there are also leases that can ultimately be converted into company assets. Additionally, we can assist with various subsidies. If you have any concerns, please feel free to contact us.
Delivery Time
Applications/Examples of results
【Other Features】 - The AI automatically extracts suspicious data from the learning data. - Focused checks on intervals where normal and defective data are mixed on the histogram. - Human judgment on handling suspicious data by reviewing enlarged images and overall images. - If issues are found, the corresponding images are deleted or normal/defective classifications are swapped. 【Examples of Achievements】 - Scratches on metal products (line scratches, dents), processing defects (surface inspection after welding and burr removal). - Scratches on resin molded products (line scratches, dents, sink marks), processing defects (burrs, chips). - Sensory inspection for shape defects such as weld beads and soldering. *This does not guarantee the detection of all defects.
