Image Recognition System - メーカー・企業7社の製品一覧とランキング | イプロス

更新日： 集計期間:Apr 08, 2026～May 05, 2026
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Image Recognition Systemのメーカー・企業ランキング

更新日： 集計期間:Apr 08, 2026～May 05, 2026
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  1. 日本システム開発 Aichi//Information and Communications
  2. Avalueジャパン Tokyo//others
  3. フォルテ Aomori//Information and Communications
  4. 4 アニー 調布本社 Tokyo//Information and Communications
  5. 4 Jotsu 本社 Osaka//Electrical equipment construction business
企業ランキングへ

Image Recognition Systemの製品ランキング

更新日： 集計期間:Apr 08, 2026～May 05, 2026
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  1. AI Solution "Vehicle License Plate Detection" 日本システム開発
  2. Introduction to the AI Image Recognition Solution "RENITY AIR" Avalueジャパン
  3. AI image recognition system 'ninascan(R)' アニー 調布本社
  4. [AI Implementation Case] Extraction from a Large Number of Captured Images アラヤ
  5. 4 Custom AI development using edge devices. フォルテ

Image Recognition Systemの製品一覧

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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
  • Image Recognition System

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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
  • Image Recognition 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
  • Image Recognition System

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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
  • Image Recognition System

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Custom AI development using edge devices.

Custom AI development using edge devices.

Developing AI image recognition features from algorithms tailored to customer requests!

We develop AI from algorithms based on customer requests. By using edge devices, AI can be implemented without changing existing cameras. We can cater to various industries such as logistics, manufacturing, and security. ■Features ♢ AI algorithms can be developed according to customer needs, enabling detailed customization of functions. ♢ AI can be implemented by utilizing edge devices with already installed surveillance cameras, eliminating the need for new equipment purchases. ♢ After AI implementation, adjustments can be made to align with the constantly changing "wants." Customization according to your operations is possible. ♢ Even without specialized knowledge, AI can be built based on recorded data for verification.

  • others
  • IoT
  • Image Recognition System

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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
  • Image Recognition System

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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
  • Image Recognition System

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