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  6. AI image inspection that automates visual inspection | From 0 defective product images

AI image inspection that automates visual inspection | From 0 defective product images

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DeepAge Sensor

last updated:Aug 25, 2026

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Do not personalize the inspector's judgment. Learn only from good product images and integrate into existing equipment. More than 100 units have been operational since 2018.

Are you relying on visual inspections, leading to subjective judgments? The "experienced eye" is lost due to retirements and transfers, and securing inspectors is not easy. DeepAge Sensor is an AI image inspection software that automates visual inspections. It starts learning with only good product images, making it feasible to implement even in processes with only a few defective samples. It can be integrated into existing inspection equipment by simply adding one inspection DLL and runs on industrial PCs without the need for a GPU. You can first try creating a model for free using your inspection images and decide on implementation after reviewing the accuracy verification results, so the risk of consideration is almost nonexistent.

    Visual Inspection EquipmentImage Processing Software
heroA_visual.png

AI image inspection that automates visual inspection | From 0 defective product images

heroA_visual.png
heroA_visual.png
  • Related Link - https://sensor.deepage.net

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basic information

【Inference Speed】CPU 12ms/frame (no GPU required) 【Embedded】Inspection DLL (Windows/UNIX). Expand using existing cameras and industrial PCs 【Learning Method】Unsupervised anomaly detection can start with only good product images / Transition to supervised learning when defective product images are collected 【Track Record】Operational in manufacturing sites since 2018, over 100 units in total 【Implementation】Initial model creation is free. Accuracy verification report provided (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

- Reducing manpower in visual inspection processes and eliminating reliance on individual judgment - Automating visual inspection in processes with few defective product samples (unsupervised anomaly detection) - Adding AI inspection capabilities to existing equipment (no hardware changes required)

Detailed information

  • 1_装置への搭載実績100台超.png

    8 years of experience in the manufacturing field with over 100 units in operation and key specifications.

  • 2_3つの学習方法_不良品画像0枚でも可.png

    Three learning methods that can be started with just good product images.

  • 3_CPUだけで検査_学習はクラウド.png

    Learning is done in the cloud, while inspection is completed with the CPU of on-site equipment.

  • 4_導入4ステップ_最短1週間初回無料.png

    Image upload → Learning → DLL receipt → Integration (as short as 1 week, first time free)

  • 5_検知対象6業種.png

    6 industries (electronic component assembly / metal pressing / resin molding / film / assembly / printing)

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How to implement visual inspection AI in a process without defective product samples.

How to implement visual inspection AI in a process without defective product samples.

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DeepAge Sensor Product Catalog

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We provide services that utilize data. The value generated from data is increasing day by day. While there may be a focus on 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 are now able to gather various data in the cloud and process large amounts of data. However, even with an understanding of such technologies and their value, practical application 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.

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