AI Appearance Inspection [RoxyAI] Explanation Feature 1

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last updated：Aug 01, 2025

三機 Creative Lab

Official site

Explaining the features of the visual inspection software "Roxy AI"! This time, we will provide a detailed explanation of the excellent characteristics of "Roxy AI"!

Would you like to start automating visual inspections, which are currently judged by human hands, eyes, and experience? Eliminate the black box! Understand through visibility and touch! Usable on-site! 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 AI algorithm with high speed and accuracy (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 knowledge of AI. Our company leverages its experience in designing and manufacturing dedicated machines, inspection machines, in-factory logistics, and automation systems in the FA field to provide proposals and support for AI verification in the visual inspection field, real machine evaluation, and automation of visual inspection processes. We also support 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.

Related Link - https://sanki1948robo.securesite.jp/rb/robopride/p…

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basic information

【Flow of Image Integration】 No.1 Inspections can be conducted for a wide variety of workpieces. No.2 Even if the workpieces have completely different shapes and materials, AI can easily determine if something is defective once it has learned what constitutes a defect. No.3 There is no need to learn repeatedly for each material to remember defects. No.4 It can also accommodate product renewals or changes in shape. Example: Changing the workpiece shape from rectangular to circular, if the defect criteria remain the same. No.5 Even if the shape and color differ, as long as the features are the same, inspections can be performed accurately.

Price information

The three machines are proposal-based and will support our customers' "troubles." 【Purchase Method】 In addition to cash lump-sum purchases, we can propose payment plans that meet our customers' needs 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

Please contact us for details

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 the handling of abnormal data by reviewing enlarged images and overall images. - If there are issues, the corresponding images are deleted or normal/defective statuses are swapped. 【Examples of Achievements】 - Scratches (line scratches, dents) on metal products, processing defects (surface inspection after welding and burr removal). - Scratches (line scratches, dents, sink marks) on resin molded products, processing defects (burrs, chips). - Sensory inspection for shape defects such as weld beads and soldering. *This does not guarantee the detection of all defects.