Examples of AI Image Inspection: Scratches, Dents, Burrs, Missing Parts, Soldering Defects
DeepAge Sensor
Inspection targets and procedures for six industries: electronic component mounting, metal pressing, resin molding, film, assembly, and printing.
【Electronic Component Mounting】Determination of solder defects on the substrate. Detects bridging, insufficient solder, and lifting. 【Metal Pressing】Surface scratches and dents. Detects points that deviate from the normal surface standard. 【Resin Molding】Burrs and chips. Detects abnormalities in the gate area and parting surface. 【Film】Foreign objects. Detects against the clear standard of good products. 【Assembly】Missing parts and assembly errors. Detects the presence and position of components. 【Printing】Stamping defects. Detects misalignment and omissions of characters. For all targets, we first conduct free model creation (first time free) to verify accuracy with actual images, and only implement once standards are met. Integration into existing equipment via DLL allows for unsupervised anomaly detection even in processes with few defective samples.
Inquire About This Product
basic information
【Detection Targets】Solder defects / Scratches / Dents / Burrs / Chipping / Foreign objects / Missing parts / Assembly errors / Poor engraving 【Applicable Industries】Electronic component mounting, metal pressing, plastic molding, film, assembly, printing (operational results since 2018) 【Inference Speed】CPU 12ms/image (no GPU required) 【Embedded】Inspection DLL (Windows/UNIX). Can be retrofitted to existing equipment 【Process】Free model creation → Accuracy verification with actual images → Decision based on report (as short as 1 week)
Price information
Direct sales: 250,000 yen/camera/year〜/First model creation free
Price range
P3
Delivery Time
P3
※The initial model creation is free (accuracy report in as little as one week).
Applications/Examples of results
- Electronic component mounting: Solder defect inspection of the circuit board - Metal pressing: Surface scratch and dent inspection - Resin molding: Burr and chip inspection - Film: Foreign object inspection / Assembly: Missing parts and assembly errors / Printing: Engraving defects
Detailed information
-
8 years of experience with over 100 units installed and key specifications
-
Processes with few defects are also addressed by unsupervised anomaly detection.
-
Learning is completed in the cloud, while inspection is done on-site with the CPU.
-
Free verification with the target image → Implementation (as short as 1 week)
-
Types of defects in 6 industries (corresponding to the examples listed on this page)
catalog（1）
Download All Catalogs
Company information
We provide services that utilize data. The value generated from data has been increasing day by day. While there may be a focus on chasing numbers in sales targets and marketing, the importance of processing large amounts of data with computers to create new value has not been emphasized as much. Technology is evolving every day. We have become capable of gathering various data in the cloud and processing large volumes of data. However, even with an understanding of such technologies and their value, practical implementation is still not sufficiently realized. We will accurately understand the current issues, sincerely consider whether artificial intelligence and new technologies can solve them, and communicate our findings to the world in the most optimal way.
![[Case Study] Successful "Monetization" of Waste Plastics through Sensor Utilization! Japan Special Ceramics Co., Ltd.](https://image.www.ipros.com/public/product/image/245/2001484916/IPROS11668876257031716160.jpg?w=280&h=280)
![[Case Study] Utilizing Sensors for Material Inspection! Val Corporation](https://image.www.ipros.com/public/product/image/2113824/IPROS2851298067058129490.jpg?w=280&h=280)
![[Case Study] Utilizing Sensors for the Valorization of Waste Plastics! Fuji Kasei Co., Ltd.](https://image.www.ipros.com/public/product/image/2113824/IPROS8141173142511549749.jpg?w=280&h=280)
![[Case Study] Visualizing the Value of Waste Plastics! LIXIL](https://image.www.ipros.com/public/product/image/2113824/IPROS7223626806004004614.jpg?w=280&h=280)
![[Case Study] Utilized for the identification of waste plastics! Mazda](https://image.www.ipros.com/public/product/image/2113824/IPROS11293733218906178171.jpg?w=280&h=280)