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Judging System Product List and Ranking from 26 Manufacturers, Suppliers and Companies | IPROS GMS

Last Updated： Aggregation Period:Feb 18, 2026～Mar 17, 2026
This ranking is based on the number of page views on our site.

Judging System Manufacturer, Suppliers and Company Rankings

Last Updated： Aggregation Period:Feb 18, 2026～Mar 17, 2026
This ranking is based on the number of page views on our site.

  1. null/null
  2. コンテック Osaka//Industrial Electrical Equipment
  3. サンテクノ Tottori//Electronic Components and Semiconductors
  4. サイバークラフト Osaka//Industrial Electrical Equipment
  5. 5 つくし工房 Tokyo//others
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Judging System Product ranking

Last Updated： Aggregation Period:Feb 18, 2026～Mar 17, 2026
This ranking is based on the number of page views on our site.

  1. [Countermeasures Against Forgery] Authentic cancer diagnosis using unreplicable encrypted QR codes.
  2. Screw tightening position navigation and fastening position correctness judgment system "iPosi" サンテクノ
  3. Device IVA-HW100 that can determine handwashing through image recognition using AI technology. コンテック
  4. Mental and physical fatigue assessment management system 'AQ Flicker Tester' サイバークラフト
  5. 5 Psychological and Behavioral Trait Assessment System "Field Power Series Simplified Version Safety Strength" つくし工房

Judging System Product List

31～38 item / All 38 items

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Quality System: Quality Inspection Pass/Fail Determination System

Quality System: Quality Inspection Pass/Fail Determination System

When there are changes to the inspection items or pass/fail criteria, maintenance can be performed by the user.

The "Quality Inspection Pass/Fail Judgment System" is a solution that inputs quality inspection data for product lots requested for quality inspection and performs pass/fail judgments. By managing inspection items and pass/fail judgment criteria as a master, it automates the pass/fail judgment for product lots or each inspection item, and the double-check function for approvals helps prevent the outflow of defective products. Quality inspection data is stored in a database and can be output to Excel. 【Purpose of System Implementation】 ■ Automation of Pass/Fail Judgment - We aim to improve work efficiency by automating the pass/fail judgment of quality inspections. ■ Prevention of Data Entry Errors - By minimizing the number of inputs, we reduce transcription errors. ■ Double Check - We perform a double check for approvals on quality inspections to prevent the shipment of defective products. ■ Maintenance - We want to respond flexibly and efficiently to changes such as adding varieties and modifying product specifications. *For more details, please refer to the PDF document or feel free to contact us.

  • Software (middle, driver, security, etc.)
  • Judging System

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Independence Assessment System

Independence Assessment System

Reducing the burden on caregiving staff! Data collected from sensor networks can be visualized.

The Wireless Communication Research Institute handles the "Independence Assessment System." This system can assess the daily living activities (ADL) of the elderly using location information and sleep analysis sensors. By effectively monitoring their nighttime condition and visualizing the data collected through a sensor network, it can reduce the burden on caregivers. 【Features】 ■ Assesses daily living activities (ADL) using location information and sleep analysis sensors ■ High precision ■ Real-time location tracking *For more details, please refer to the PDF materials or feel free to contact us.

  • others
  • Judging System

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[New Product] Fitting Sound Judgment System "Escalaid Bowl"

[New Product] Fitting Sound Judgment System "Escalaid Bowl"

[New Product] Instantaneous sound accuracy judgment using AI technology

"Escalaid Bowl" is a system that uses AI to instantly determine the accuracy of sounds. It can assess instantaneous sounds of about 0.1 seconds, such as those from connectors and presses, which could not be evaluated by the conventional "Escalaid," as well as the sounds of cutting machines that produce the same sound with each cycle. It can be utilized for success determination of connector fittings and sensory testing, among other applications.

  • Other security and surveillance systems
  • Other measurement, recording and measuring instruments
  • Judging System

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[Information] Countermeasures Against Counterfeits

[Information] Countermeasures Against Counterfeits

A system that allows consumers to verify before purchasing and can be validated worldwide is necessary!

This document includes measures against counterfeit products from the perspective of buyers and sellers. We introduce "HiddenTag," which supports not only Google and Apple but also WeChat, minimizing the risk of consumers believing counterfeit tags and purchasing fake products, along with a comparison of technologies related to code systems and material resources. It also includes examples of implementation measures, making it a useful reference. We encourage you to read it. 【Contents】 ■ Counterfeit measures (authentication) and distribution management ■ Counterfeit measures from the buyer's perspective ■ Counterfeit measures from the seller's perspective ■ Comparison of technologies ■ Why QR and RFID are weak ■ HiddenTag *For more details, please refer to the PDF document or feel free to contact us.

  • IC tag
  • Judging System

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Inspection Target Specialized Model: Y's-Eye Hamburger

Inspection Target Specialized Model: Y's-Eye Hamburger

The first specialized model for inspection targets of the AI image judgment solution "Y's-Eye," which supports the stabilization and labor-saving of inspection quality.

What is the inspection-target specialized model "Y's-Eye Hamburger"? It is the first model of the AI image inspection solution "Y's-Eye," which combines AI image inspection with an exclusion mechanism to support the stabilization of inspection quality and labor-saving. This model specializes in inspecting hamburger patties and has been packaged to enable a smoother implementation in a shorter time than before. By consolidating the technology of the Yaskawa Group and achieving automation of the inspection process through the collaboration of AI and robots, it is expected to contribute to improving yield rates, addressing labor shortages, and reducing food waste by analyzing defect trends from inspection result data. This solution is attracting attention in the food manufacturing industry, where the criteria for shape and passing products are not uniform, and reliance on manual inspection has been necessary.

  • Inspection robot
  • Judging System

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Crowd Status Judgment System "ComJudge Service"

Crowd Status Judgment System "ComJudge Service"

Visualizing the congestion situation of people and vehicles. Easily check the situation online, contributing to congestion avoidance, etc. No special cameras required.

The "Comjudge Service" is a system that analyzes images captured by cameras using AI to visualize the congestion status of facilities, parking lots, and event venues. Since the cameras themselves do not require AI, it can be used with standard network cameras. Through AI learning, it can also visualize congestion situations involving non-human entities such as vehicles. In addition to checking real-time congestion status at facilities, parking lots, and event venues, the accumulated data can be utilized for reviewing past performance and making future predictions. 【Features】 ■ Contributes to improving user satisfaction at facilities ■ No need for dedicated cameras, allowing for reduced capital investment ■ Accumulates data on congestion status by date and time, as well as weather and temperature data ■ Can be used to predict future congestion situations, enabling advance preparations such as personnel adjustments *For more details, please refer to the PDF materials or feel free to contact us.

  • Other image-related equipment
  • Image analysis software
  • Other information systems
  • Judging System

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Craftsman's Sorting Accuracy: Seaweed Grade Assessment

Craftsman's Sorting Accuracy: Seaweed Grade Assessment

Digitizing artisan work with AI! Achieved over a 15% improvement in accuracy for classification beyond that of a craftsman.

We would like to introduce a case study of seaweed grade determination using the AI platform service "HAMPANAI AI," which allows anyone to easily create AI models. The company faced challenges such as a severe shortage of seaweed grading artisans across the industry and unstable visual grading amid fast inline speeds. After implementation, the process was automated from grading to printing the grade, alleviating the labor shortage. Additionally, the grading criteria became clearer, improving the reliability of grade classification. [Challenges] ■ Severe shortage of seaweed grading artisans across the industry ■ Unstable visual grading amid fast inline speeds ■ Differences in rank recognition between production areas and wholesalers *For more details, please refer to the PDF document or feel free to contact us.

  • Other information systems
  • Judging System

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