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Seed contamination detection system Product List

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Optimal for detecting mixed varieties: 'N-Vision System'

Sure detection of mixed varieties through image processing! Reducing misjudgments and improving quality. A collection of case studies is currently being offered!

"Missing the detection of mixed varieties..." "The accuracy of visual inspection is unstable..." The solution to these challenges is the image processing system 'N-VisionSystem'. This system selects the optimal equipment tailored to the inspection target and work, building an image processing system specialized in detecting mixed varieties. Before implementation, we conduct image sample evaluations and provide the results in a report, allowing you to consider the implementation with peace of mind. [Features] ■ Proposes optimal image processing algorithms for detecting mixed varieties and appearance inspections ■ Easy operation for anyone with a dedicated application that includes an operation guide ■ Flexible custom support according to inspection targets and working environments ■ Total support from design, manufacturing, to installation Simultaneously achieving measures against mixed varieties and improving inspection accuracy, contributing to quality improvement and cost reduction. *For more details, please download the catalog.

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  • 005-検査(キズ欠け合否判定).jpg
  • 006-検査(有無サイズ認識).jpg
  • 007-検査(形状姿勢認識).jpg
  • 009-検査(OCR認識).jpg
  • N-DesktopVision メイン画像.jpg
  • 012-自動化対応.jpg
  • Other image-related equipment
  • Seed contamination detection system

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N-Vision System for Pharmaceuticals

Sure detection of mixed varieties through image processing! Contributing to quality improvement and cost reduction.

In the pharmaceutical industry, accurate verification of ingredients is essential to ensure product quality and safety. Contamination with different varieties can lead to reduced product efficacy and health hazards, necessitating strict quality control. Visual inspections are prone to oversight and variability in inspection accuracy, presenting challenges. The N-VisionSystem detects contamination with high precision using image processing technology. Before implementation, image sample evaluations are conducted, allowing for a confident consideration of adoption. 【Usage Scenarios】 - Ingredient verification on pharmaceutical manufacturing lines - Incoming inspection of raw materials - Foreign matter contamination inspection during packaging processes 【Benefits of Implementation】 - Reduction of contamination risks - Improvement in inspection accuracy - Reduction of quality control costs

  • 004-検査(寸法測定-合否判定).jpg
  • 005-検査(キズ欠け合否判定).jpg
  • 006-検査(有無サイズ認識).jpg
  • 007-検査(形状姿勢認識).jpg
  • 009-検査(OCR認識).jpg
  • N-DesktopVision メイン画像.jpg
  • 012-自動化対応.jpg
  • Other image-related equipment
  • Seed contamination detection system

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N-Vision System for Electronic Components

Sure detection of mixed varieties through image processing! Contributing to quality improvement and cost reduction.

In the electronic components industry, detecting defective products is essential to maintain product quality. Especially in the case of miniaturized electronic components, overlooking the mixing of different types can lead to a decline in product performance and the occurrence of defective products. Visual inspections can result in variations in accuracy depending on the inspector's skill level, making it difficult to maintain stable quality. The N-Vision System uses image processing technology to detect the mixing of different types with high precision. This helps to suppress the outflow of defective products and contributes to improving product quality. 【Usage Scenarios】 - Manufacturing lines for electronic components - Appearance inspection processes - Processes with a risk of mixing different types 【Benefits of Implementation】 - Reduction of defective products - Stabilization of quality - Reduction of inspection costs

  • 004-検査(寸法測定-合否判定).jpg
  • 005-検査(キズ欠け合否判定).jpg
  • 006-検査(有無サイズ認識).jpg
  • 007-検査(形状姿勢認識).jpg
  • 009-検査(OCR認識).jpg
  • N-DesktopVision メイン画像.jpg
  • 012-自動化対応.jpg
  • Other image-related equipment
  • Seed contamination detection system

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N-Vision System for the Packaging Industry

Sure detection of mixed varieties through image processing! Contributing to quality improvement and cost reduction.

In the packaging industry, print inspection is crucial for maintaining product quality and brand image. Printing errors and cross-contamination with different products can undermine customer trust and lead to complaints and returns. N-VisionSystem addresses these challenges using image processing technology. By building a system specialized in detecting cross-contamination, it contributes to quality improvement and cost reduction by enhancing inspection accuracy. 【Usage Scenarios】 - Print inspection on packaging lines - Verification of printed information such as expiration dates and lot numbers - Detection of cross-contamination with different products 【Benefits of Implementation】 - Reduction of defective products due to printing errors - Prevention of quality issues caused by cross-contamination - Cost reduction through increased efficiency in the inspection process

  • 004-検査(寸法測定-合否判定).jpg
  • 005-検査(キズ欠け合否判定).jpg
  • 006-検査(有無サイズ認識).jpg
  • 007-検査(形状姿勢認識).jpg
  • 009-検査(OCR認識).jpg
  • N-DesktopVision メイン画像.jpg
  • 012-自動化対応.jpg
  • Other image-related equipment
  • Seed contamination detection system

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N-Vision System for Logistics

Reliable detection of mixed varieties through image processing! Improving sorting accuracy.

In the logistics industry, the mixing of different product types during sorting can lead to incorrect shipments and customer complaints, potentially resulting in significant losses. Accurate sorting is essential for maintaining customer satisfaction and enhancing a company's reliability. N-VisionSystem uses image processing technology to detect mixed product types with high precision. It overcomes the limitations of visual inspection and contributes to improved sorting accuracy. 【Usage Scenarios】 - Incoming inspection - Outgoing inspection - Sorting line 【Benefits of Implementation】 - Reduction of incorrect shipments - Increased efficiency of inspection tasks - Improvement of customer satisfaction

  • 004-検査(寸法測定-合否判定).jpg
  • 005-検査(キズ欠け合否判定).jpg
  • 006-検査(有無サイズ認識).jpg
  • 007-検査(形状姿勢認識).jpg
  • 009-検査(OCR認識).jpg
  • N-DesktopVision メイン画像.jpg
  • 012-自動化対応.jpg
  • Other image-related equipment
  • Seed contamination detection system

Added to bookmarks

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You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

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N-Vision System for Automotive Parts

Sure detection of mixed varieties through image processing! Contributing to quality improvement and cost reduction.

In the automotive parts industry, accurate identification of components is essential to ensure product quality and safety. Contamination with different types of parts can lead to decreased product performance and accidents, necessitating strict management. Visual inspections are prone to oversight and have issues with inconsistent inspection accuracy. The N-Vision System uses image processing technology to detect contamination with different types of parts, addressing these challenges. 【Usage Scenarios】 - Automotive parts manufacturing lines - Parts sorting and inspection processes - Reduction of contamination risks 【Benefits of Implementation】 - Improved inspection accuracy - Stabilization of quality - Cost reduction

  • 004-検査(寸法測定-合否判定).jpg
  • 005-検査(キズ欠け合否判定).jpg
  • 006-検査(有無サイズ認識).jpg
  • 007-検査(形状姿勢認識).jpg
  • 009-検査(OCR認識).jpg
  • N-DesktopVision メイン画像.jpg
  • 012-自動化対応.jpg
  • Other image-related equipment
  • Seed contamination detection system

Added to bookmarks

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Bookmark has been removed

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You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

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N-Vision System for the Metal Industry

Detecting mixed varieties through image processing! Contributing to improved accuracy in material identification and quality enhancement.

In the metal industry, accurate identification of materials is essential to maintain product quality. Particularly, the mixing of different metals can adversely affect the strength and durability of products. Visual inspections are prone to oversight, and there are challenges with the stability of inspection accuracy. The N-VisionSystem utilizes image processing technology to detect the mixing of different varieties and contributes to improving the accuracy of material identification. 【Application Scenarios】 - Manufacturing processes of metal components - Prevention of contamination by different metals - Quality control departments 【Benefits of Implementation】 - Reduction in defective products caused by mixed varieties - Improvement in inspection accuracy - Quality enhancement and cost reduction

  • 004-検査(寸法測定-合否判定).jpg
  • 005-検査(キズ欠け合否判定).jpg
  • 006-検査(有無サイズ認識).jpg
  • 007-検査(形状姿勢認識).jpg
  • 009-検査(OCR認識).jpg
  • N-DesktopVision メイン画像.jpg
  • 012-自動化対応.jpg
  • Other image-related equipment
  • Seed contamination detection system

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration