Image Recognition System Product List and Ranking from 6 Manufacturers, Suppliers and Companies

Last Updated： Aggregation Period:Sep 24, 2025～Oct 21, 2025
This ranking is based on the number of page views on our site.

Image Recognition System Manufacturer, Suppliers and Company Rankings

Last Updated： Aggregation Period:Sep 24, 2025～Oct 21, 2025
This ranking is based on the number of page views on our site.

  1. 日本システム開発 Aichi//Information and Communications
  2. Avalueジャパン Tokyo//others
  3. アニー 調布本社 Tokyo//Information and Communications
  4. Jotsu 本社 Osaka//Electrical equipment construction business
  5. アラヤ Tokyo//Information and Communications
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Image Recognition System Product ranking

Last Updated： Aggregation Period:Sep 24, 2025～Oct 21, 2025
This ranking is based on the number of page views on our site.

  1. AI Solution "Vehicle License Plate Detection" 日本システム開発
  2. AI image recognition system 'ninascan(R)' アニー 調布本社
  3. [AI Implementation Case] Extraction from a Large Number of Captured Images アラヤ
  4. Introduction to the AI Image Recognition Solution "RENITY AIR" Avalueジャパン
  5. 4 [Example] Defective Product Inspection Jotsu 本社

Image Recognition System Product List

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AI image recognition system 'ninascan(R)'

AI image recognition system 'ninascan(R)'

High product recognition rate with new AI technology! Accurately recognizes differences in cooking level and toppings, even with close arrangements.

"Ninascan(R)" is an AI image recognition system that enables speedy checkout even for staff with little experience, thanks to its integration with ninapos. The information read by this system is linked to ninapos, allowing for instant processing of multiple products. Customers will not be kept waiting, even during busy times. By arranging multiple items on a tray and taking 5 to 8 photos to train the AI, registration is completed. If registration is done at one store, scanning of registered products is possible at all stores in a multi-store setup. [Features] ■ High product recognition rate using new AI technology ■ Information read is linked to ninapos ■ Can be used immediately by connecting a dedicated vision kit to ninapos ■ Easy product registration and sharing *For more details, please download the PDF or feel free to contact us.

  • others

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AI Solution "Vehicle License Plate Detection"

AI Solution "Vehicle License Plate Detection"

Recognizable regional name, classification number, hiragana, and series designation number registered on the license plate!

"Vehicle License Plate Detection" is a system that processes all input from cameras using AI on the edge, recognizing character information in real time. The information recognized by AI is notified to a web application as detection information. The detection information is accumulated in the cloud, allowing users to view the accumulated detection information through a web browser. 【Features】 ■ All input from cameras is processed by AI on the edge ■ Real-time recognition of character information ■ Detection information is accumulated in the cloud ■ Development of a proprietary NSK model optimized for license plate detection ■ Can be utilized for vehicle investigation and management, as well as enhancing parking lot security *For more details, please refer to the PDF document or feel free to contact us.

  • Vehicle Management System

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[AI Implementation Case] Extraction from a Large Number of Captured Images

[AI Implementation Case] Extraction from a Large Number of Captured Images

Significantly reduced the selection time! We were able to greatly decrease the number of image points to be checked.

We would like to introduce a case where AI was implemented to extract suitable images that meet the criteria for media publication from a large number of images taken during sports matches. In the case of our client, they traditionally took a large number of photos during sports matches and manually extracted suitable images that met criteria such as "full body is visible" and "sports equipment is visible." However, this selection process was time-consuming, and there was a demand for quicker extraction. To solve this issue, we created a system where AI extracts images that meet the criteria from thousands of target images, significantly reducing the number of images that need to be reviewed. For inquiries about the implementation of AI for the efficiency and automation of image and video-related tasks, please feel free to consult with Araya. [Effects After AI Implementation] ■ Significant reduction in selection time ■ Almost no time required for extraction *For more details, please refer to the PDF document or feel free to contact us.

  • Process Control System
  • Other Software

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Introduction to the AI Image Recognition Solution "RENITY AIR"

Introduction to the AI Image Recognition Solution "RENITY AIR"

Easy to implement and allows for selecting the optimal model based on usage conditions and installation location.

Avalue Technology's "RENITY AIR" is a system that uses AI technology's "image recognition" to check and count products, equipment, and supplies in various settings such as retail stores, factories, and hospitals. In many industries, AI solutions typically require AI experts to be on-site to analyze data and create appropriate models. Therefore, we propose a way for our customers to leverage the most user-friendly and flexible power of AI. For example, we help solve the problem of costly and time-consuming employee training, thereby improving work efficiency. Additionally, this solution allows for improved workflow and helps prevent potential losses due to human error. Our solution is suggested for applications such as bakeries, supermarkets, food delivery, museums, equipment maintenance, and post-surgery checks of surgical instruments. RENITY AIR offers ease of use, speed, flexibility, and affordability tailored to your business needs.

  • Kiosk terminal
  • Cash register peripherals and printers

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[Example] Defective Product Inspection

[Example] Defective Product Inspection

The effectiveness of detecting defective castings has been confirmed, and we will introduce cases where detection accuracy has significantly improved!

To prevent defective products from flowing into the next process, it is necessary to conduct a complete visual inspection before shipment. However, there were issues such as individual differences among inspectors and missed detections due to fatigue. In response, we utilized an "algorithm." This system allows for instant understanding of what objects are in an image, where they are located, and how they interact. Given that the ability to detect objects at a glance is a strength, we decided to challenge ourselves with this method. As a result, we confirmed the effectiveness of detecting defective areas in castings, and by evaluating suitable AI models, we were able to use them confidently on-site. By leveraging our company's know-how to suppress external factors, the detection accuracy significantly improved. Moreover, even after applying it on-site, we could add unknown images to the training data, allowing for feedback to improve detection accuracy. [Background] - To prevent defective products from flowing into the next process, it is necessary to conduct a complete visual inspection before shipment. - There are issues such as individual differences among inspectors and missed detections due to fatigue. - If any problems arise afterward, additional verification cannot be conducted as the physical items are not available. *For more details, please refer to the PDF document or feel free to contact us.*

  • Measurement and Inspection

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Development of AR image recognition server

Development of AR image recognition server

Take a product image! Display matching product information from the e-commerce site.

We would like to introduce a case study of the AR image recognition server developed by our company. This is an image search system used to display matching product information from an e-commerce site after capturing product images, with the aim of facilitating purchases. Our company achieves stable and high-quality system development by sharing the experience of skilled engineers. Additionally, we build an optimal development structure by collaborating with strong development partners. 【Case Overview】 ■ Responsible Processes: Design, Manufacturing, Testing ■ Order Type: Bulk Development ■ Operating Environment: KCPS (Linux) ■ Technical Elements: Apache, Tomcat, MySQL, Zabbix, Heartbeat *For more details, please download the PDF or feel free to contact us.

  • Video Monitoring System

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