Image Recognition Software Product List and Ranking from 5 Manufacturers, Suppliers and Companies

Last Updated： Aggregation Period:Sep 17, 2025～Oct 14, 2025
This ranking is based on the number of page views on our site.

Image Recognition Software Manufacturer, Suppliers and Company Rankings

Last Updated： Aggregation Period:Sep 17, 2025～Oct 14, 2025
This ranking is based on the number of page views on our site.

  1. アイルミッション Kanagawa//Information and Communications
  2. システムズナカシマ 岡山支店 Okayama//Service Industry
  3. コンピュータマインド 東京本社 Tokyo//others
  4. アプライド Fukuoka//Trading company/Wholesale
  5. アステックコンサルティング Osaka//Service Industry
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Image Recognition Software Product ranking

Last Updated： Aggregation Period:Sep 17, 2025～Oct 14, 2025
This ranking is based on the number of page views on our site.

  1. AI specialized in counting functions "Deep Counter" アイルミッション
  2. Image recognition AI "Vision AI" operation recommendation model アプライド
  3. [Attention Companies in Okayama Prefecture] AI Development Case Study - AI × Insect Damage Detection - システムズナカシマ 岡山支店
  4. [Development Case] Automation of Sanitary Ware Appearance Inspection コンピュータマインド 東京本社
  5. 4 "Hutzper" automates visual inspection using AI image recognition. アステックコンサルティング

Image Recognition Software Product List

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Image recognition AI "Vision AI" operation recommendation model

Image recognition AI "Vision AI" operation recommendation model

Instantly identify the type of object! If it can be distinguished by appearance, it can correspond to various objects.

"Vision AI" is software that automatically identifies the type of object instantly using artificial intelligence (AI). The AI captures the visual characteristics of objects such as color, pattern, and shape to identify the type of object. It is possible to connect a camera to a dedicated PC for real-time identification. At Applied, we offer the 'Be-Clia Type-T11IS44/Be-Clia Type-M11IS43' as a recommended operational model. 【Features of Vision AI】 ■ Processing time is approximately 0.5 seconds per instance, making it fast ■ By integrating it into a conveyor system, sorting tasks can be automated ■ Can be implemented in various settings, including operations combined with surveillance cameras ■ Composed of two software components: Learning (for training) and Prediction (for inference) ■ Cureco collaboration model *For more details, please refer to the related links or feel free to contact us.

  • Analysis and prediction system

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[Attention Companies in Okayama Prefecture] AI Development Case Study - AI × Insect Damage Detection -

[Attention Companies in Okayama Prefecture] AI Development Case Study - AI × Insect Damage Detection -

Detection of insect damage on leaves using AI image diagnosis.

[Features of AI × Inspection] By pre-training the elements that you want the AI to recognize, it is possible to identify elements and count their quantities from images. Additionally, by training the AI on error values such as missing parts or fractures, it can distinguish between good and defective products. Since it is possible to make judgments using images, it is also feasible to assess error values based on temperature differences using thermal cameras.

  • Security cameras and surveillance systems

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AI specialized in counting functions "Deep Counter"

AI specialized in counting functions "Deep Counter"

No specialized knowledge of AI is required! Only about a dozen learning images are needed, contributing to the labor-saving of counting tasks through "visual inspection" on-site.

*Instant counting completed - high precision and speed! AI software "Deep Counter" specialized in "counting"* Traditionally, image recognition technology has struggled to count irregularly shaped objects and items placed in various orientations due to environmental factors. "Deep Counter" can be smoothly integrated into your inspection system in the form of an SDK, achieving high-precision counting of irregularly shaped objects and items placed in various orientations, which was difficult to accomplish with conventional rule-based image recognition technology. Equipped with AI algorithms, it enables high-precision counting of irregularly shaped objects and items placed in various orientations that were previously challenging to automate. Only a few dozen training images are required for setup. With its unique AI algorithm, it counts quickly and accurately, contributing to the reduction of manual counting tasks in the field. If you are struggling with manual counting tasks, please consider this solution. *For more details, please refer to the PDF document or feel free to contact us.*

  • Measurement and Inspection
  • Measurement and analysis equipment leasing and rental
  • Other measuring instruments

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[Development Case] Automation of Sanitary Ware Appearance Inspection

[Development Case] Automation of Sanitary Ware Appearance Inspection

Automating inspection processes that tend to be personalized through visual inspection with advanced technology! Introduction of development cases.

Image recognition technology using Deep Learning is expected to be applied in visual inspection in industries such as manufacturing due to its high detection performance and generalization capabilities. Our company has achieved results in defect detection using object detection with Deep Learning through a Proof of Concept (PoC) in an automated visual inspection project for sanitary ware in collaboration with LIXIL. We are currently advancing towards trial operations for line implementation. Regarding this development initiative, we presented jointly with LIXIL at the interactive session of the 2020 Annual Conference of the Japanese Society for Artificial Intelligence. [Development Example] - OS: Windows 10 Pro - Development Period: 2018 onwards - Number of Developers: 1 for PoC / 2 for main development (planned) - Development Languages: C#, Python - Network Used: SSD512 (VGG16) *For more details, please refer to the PDF document or feel free to contact us.

  • others

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"Hutzper" automates visual inspection using AI image recognition.

"Hutzper" automates visual inspection using AI image recognition.

We will solve the labor shortage with fast, cheap, and skilled AI.

"Hutzper" provides a one-stop service from proposals for utilizing AI image recognition to demonstration experiments, model implementation, and full-scale operation. By entrusting inspections that are currently verified by human eyes, such as visual inspections, to AI, we can address labor shortages and improve accuracy.

  • Information and communication equipment and infrastructure
  • Other Software

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