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Visual inspection software(co) - List of Manufacturers, Suppliers, Companies and Products

Last Updated： Aggregation Period:Dec 17, 2025～Jan 13, 2026
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Visual inspection software Product List

166～179 item / All 179 items

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[AI Image Inspection Case] Inspection of Hole Position and Presence in Rubber Flanges

[AI Image Inspection Case] Inspection of Hole Position and Presence in Rubber Flanges

The AI image inspection software detects and determines the presence and position of holes in circular rubber flanges!

This is a request for image assessment to check for holes in a circular rubber flange. It is noted that defective products either have no holes (clear points) or have very few holes, or the holes are small. Additionally, there are concerns about detecting burrs, defects on the outer circumference, and debris (clear points outside the hole positions). A sample has been sent from a company involved in ground investigation and ground improvement. 【Inspection Settings and Results】 We conducted verification of hole presence and position inspection using the sample provided. As a result, we were able to detect the hole areas and determine their positions and presence. However, if the position of the holes is also to be inspected, the following conditions are necessary: the inspection item should be fixed in place using an L-shaped fixture or similar. The orientation of the inspection item should also be set to be approximately the same. Regarding the orientation of the inspection item, please align it roughly based on the areas where numbers or letters are displayed on the surface. Using the "Presence of Specified Color Inspection" function of EasyInspector, we were able to detect the presence or absence of holes and differences at five locations, and we could determine visually similar similar products (different items) in 0.59 seconds.

  • Image Processing Software

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Appearance inspection software "VIS ImageAnalyzer"

Appearance inspection software "VIS ImageAnalyzer"

Let's utilize software to automate visual inspections by leveraging existing equipment!

Do you have any concerns regarding visual inspection of electronic components and semiconductor chips, such as the following? - Variability in inspection results due to operator skill levels, leading to missed defects or over-detection - Lack of established criteria for determining what constitutes a defect - Desire to implement AI, but being told that there aren't enough defective images for training - Interest in introducing high-performance visual inspection equipment, but facing high implementation costs VIS ImageAnalyzer is software that combines algorithms developed over 30 years of experience in image analysis with the latest AI and machine learning capabilities. Its AI-powered good product comparison feature is robust against the variability inherent in visual inspections and can detect defects and dirt that are difficult to identify using traditional image processing methods, even those with little contrast. Additionally, since it can be implemented using only software, you can utilize images captured with your existing equipment. This allows you to consider implementation while keeping costs down. *For more details, please refer to the PDF document or feel free to contact us.*

  • Other inspection equipment and devices
  • Visual Inspection Equipment
  • Defect Inspection Equipment

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[AI Image Inspection Case] Inspection of Labels and Leads

[AI Image Inspection Case] Inspection of Labels and Leads

We will verify the incorrect insertion of lead wires and the presence of labels using AI image inspection software!

This was the first inquiry from a customer primarily manufacturing lighting fixtures, and they are considering the use of image inspection to verify the quality of assembly. Given the current social situation, we are also accommodating meetings via web conferencing. Unless specified otherwise, we often send invitations using "Microsoft Teams," but we can accommodate any common applications such as Zoom or Skype. After understanding the overview of our systems and software, it is common for us to receive sample submissions. 【Inspection Setup and Results】 We conducted verification of incorrect lead wire connections and the presence of labels using the samples we received. By utilizing EasyInspector's "Color Comparison Inspection Function," it was possible to determine good and defective products. The inspection was completed in 2.49 seconds per inspection frame across 11 inspection frames. After reporting the simple verification, we may receive requests for specific paid verification for operational purposes. Additionally, we can lend demo units to customers free of charge for them to experience the product firsthand.

  • Image Processing Software

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【AI画像検査事例】板金加工品の検査

【AI画像検査事例】板金加工品の検査

板金加工品のさまざまな不良を検出し、対象の箇所に合わせた検査を行います！

精密板金のメーカーでは製品や部品の検査は欠かせません。今回は「曲げ未加工」「逆曲げ」「曲げ寸法違い」「ボール盤未加工」「BR未加工」「圧入ナット有無」「圧入ナットズレ」についての評価依頼です。 高いクオリティを維持するために弊社の検査ソフトをご検討いただいています。 【検査設定と検査結果】 EasyInspectorの「マスター画像との比較・指定色の有無検査」機能を使用することにより良品と不良の違いを検出し、見た目の似通った類似品（異品）を1秒未満で判定することができました。 EasyInspectorでは様々な検査を１回のトリガーで一度に実行できる魅力があります。 無料サンプル評価では、まず頂いたサンプルまたは画像を使用して簡易検証を行い、検証結果を報告いたします。 簡易検証ではご要望の検出/判定が可能か社内の機器で評価します。簡易検証で検出や判定できた場合、実際の運用を想定したテスト（実現性検証）を行い、処理時間や判定精度などの評価を行うことをお勧めしています。実現性検証を行う場合、弊社で引き続き行う(有償)か、弊社貸出機を使って御社で検証されるかお選び頂けます。

  • Image Processing Software

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[AI Image Inspection Case] Inspection of Sponge Deviation and Presence of Rubber

[AI Image Inspection Case] Inspection of Sponge Deviation and Presence of Rubber

Detects sponge bias and the presence or absence of rubber!

We received a message from a trading company saying, 'We are looking for a system that can perform image inspection.' They were considering integrating it into an automatic assembly machine, receiving signals from a higher-level control device, conducting imaging and judgment, and returning the judgment results to the higher-level control device. Many trading companies and industrial equipment manufacturers repeatedly purchase our inspection software because it is easy to integrate and sold as a one-time purchase. As a result of testing with the sample products we have, we found that it is possible to detect the bias of the sponge and the presence of rubber using EasyInspector's 'Presence of Specified Color Inspection.' For the sponge bias, the setting is that if a color other than the sponge is detected, it is considered a failure. For the presence of rubber, black is designated as the specified color within the inspection frame, and if rubber is present, detecting black results in a pass. The light blue fluorescent pixels in the image indicate the detected specified color.

  • Visual Inspection Equipment

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[AI Image Inspection Case] Surface Scratch Inspection of Resin Products

[AI Image Inspection Case] Surface Scratch Inspection of Resin Products

We will conduct surface scratch detection on resin products using AI image inspection software.

This is an inquiry from a sports equipment manufacturer. We will conduct surface scratch detection on resin products. Our company accepts verification and support from technical staff on a daily basis. If you have any issues, questions, or uncertainties during operation, please feel free to contact us at any time. 【Inspection Settings and Results】 An inspection frame was installed at one location on the inspection surface, and settings were made using EasyInspector's "Scratch Detection" function. Detection was possible in 0.47 seconds. The lighting was set to make scratches appear black on the surface, and each value was adjusted to detect the black areas. Since no scratches exceeding the set values were detected in good products, they were deemed "pass." In defective products, the scratched areas appeared black and exceeded the set values, resulting in a "fail" judgment. The surface of the NG products appeared brighter around the scratches, making the scratched areas stand out more. However, if they had appeared with brightness similar to that of good products, it would have been necessary to adjust the detection sensitivity. In that case, sensitivity would be adjusted to a higher setting, which may increase the likelihood of false judgments. The installation position of the inspection items was set without "shift correction" on the premise that it would be fixed in the same position each time.

  • Image Processing Software

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[AI Image Inspection Case] Defect Inspection of Crimp Terminals

[AI Image Inspection Case] Defect Inspection of Crimp Terminals

We will determine the presence or absence of crimping on the harness cable with connectors, the color order of the colored wires, and the confirmation of tightening screws at four locations on the circuit board!

This is an inquiry from a specialized trading company in automatic control. It involves determining whether crimping is present on harness cables with connectors, assessing the color order of about eight bundled colored wires, and confirming the tightening of screws at four locations on the circuit board. It seems that there are multiple types of cables, and this time we decided to utilize the strengths of both DeepSky and EasyInspector for the evaluation. 【Inspection Settings and Results】 Since the inspection items for insertion errors and defective crimp terminals are different, we verified each with separate software. For the cable insertion errors, we used EasyInspector to check for the presence of specified colors, while the inspection for defective crimp terminals was verified using the software DeepSky. Each software has its strengths and weaknesses. → EasyInspector struggles with inspections that have an infinite number of patterns. → DeepSky is not good at determining when one out of several colors is different. The left image shows the detection frame from DeepSky, and the right image shows the detection results from EasyInspector.

  • Image Processing Software

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[AI Image Inspection Case] Terminal Inspection

[AI Image Inspection Case] Terminal Inspection

We will conduct inspections of four terminal items using AI image inspection software!

One important aspect that wire harness manufacturers focus on is clearly distinguishing their products from similar ones. Therefore, it is necessary to inspect whether "the engraving is marked within the specified range." Other inspection items include checking for "the presence of a retainer and whether it is partially inserted," "whether the connector is dirty," and "whether the position from the taped wiring to the retainer is correct," all of which were visually inspected. However, inspecting each item visually has drawbacks, such as wasting time and lacking sufficient accuracy. As a result, we considered whether there was a way to inspect efficiently and accurately, leading us to try using image processing software. [Inspection Settings and Results] This time, we will inspect the following four items: (1) "Presence of engraving" (2) "Hair contamination" (3) "Red foreign objects" (4) "Partial insertion of the retainer"

  • Image Processing Software

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[Ending March 2024] AI Appearance Inspection Software Trial Campaign

[Ending March 2024] AI Appearance Inspection Software Trial Campaign

From January to March 2024, you can use the development license for 298,000 yen (tax excluded) or 327,800 yen (tax included) for a period of three months.

This is a limited-time campaign for HACARUS Check AI software. Please contact us as soon as possible. ■ About the Target Customers Those who are promoting the automation of visual inspections and have the following challenges: - Considering the introduction of AI and want to try it with reduced initial costs - Already have inspection equipment and want to improve AI accuracy - Have attempted to implement AI but could not due to reasons such as functionality or cost - Have introduced AI but are experiencing excessive detection due to temporal changes in parts ■ About HACARUS Check AI Software This is an AI visual inspection software that can repeatedly perform small quantity, good quality, and rapid learning. It can train the AI with dozens of good products in just a few minutes each day, and it can conduct inspections while minimizing excessive detection even for workpieces whose colors and shapes change over time. HACARUS's AI is based on sparse modeling technology, which extracts features from a small amount of data and performs learning and inference, compared to deep learning that requires a large amount of training data. This allows for high-precision operation with minimal data, enabling the construction and operation of systems while keeping costs and time down.

  • Image Processing Software
  • Visual Inspection Equipment
  • Defect Inspection Equipment

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[AI Image Inspection Case] Inspection of Text, Shrinkage, and Barcodes

[AI Image Inspection Case] Inspection of Text, Shrinkage, and Barcodes

We will conduct verification of the presence or absence of the text on the bottom of the bottle, the presence or absence of shrink wrap, and the readability of the label's barcode!

Samples have arrived from a customer who plans to incorporate the following inspections into the current line: inspection for the presence or absence of bottle cap shrink, inspection for the presence or absence of printing on the bottom of the bottle, complete inspection of labels' barcodes (two-dimensional transparent) within the inline labeler, complete inspection of barcodes on inner packaging boxes (black two-dimensional on coated cardboard), and complete inspection of barcodes on outer packaging boxes (two-dimensional black on cardboard). 【Inspection Settings and Results】 All three types of inspections were determined to be satisfactory. For verifying the presence or absence of text on the bottom of the bottle and the presence or absence of shrink, we used EasyInspector's "Specified Color Presence Inspection" feature. An inspection frame was set up for the bottom text, and it is configured to pass if white is detected within that frame. The inspection frame can also be set to a ring shape as an optional feature. The presence or absence of shrink is determined by the amount of direct reflection (white) from ring lighting. For reading the label barcodes, we utilized EasyInspector's "Bar/QR Code Reading" feature, which allows for reading barcodes with black on a white background or white on a black background, and the barcode can be rotated during processing for reading.

  • Image Processing Software

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AI General Purpose Appearance Inspection Software 'EasyInspector2'

AI General Purpose Appearance Inspection Software 'EasyInspector2'

A versatile AI visual inspection software packed with various features in one package! Easy to implement and operate, it supports diverse inspections with AI and rule-based methods.

"EasyInspector2" is a general-purpose AI visual inspection software that combines AI image processing with rule-based processing. Even without specialized knowledge in image inspection, you can start inspecting immediately with just installation and camera connection. ■ It can be configured with no code, allowing for a variety of inspections such as defect detection, dimension measurement, and OCR to be executed in one stop. ■ It is easy to implement as a one-time purchase package with no operational costs, and additional features can be added later. ■ Up to five cameras can be connected to a single PC, providing flexibility for product changes and line additions. ■ It also includes traceability features such as integration with external devices, CSV output, and image storage. With over 2,500 implementations in industries such as manufacturing, logistics, food, and electronics, it is a high-cost-performance image inspection solution that supports quality improvement, reduction of work time, and labor cost savings. *For more details, please refer to the PDF document or feel free to contact us.

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  • Visual Inspection Equipment

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"AI Visual Inspection in Agriculture" enables automation with image inspection software.

"AI Visual Inspection in Agriculture" enables automation with image inspection software.

Free from manual work! Detecting defects such as scratches and automating difficult grade sorting with AI image inspection!

Do you have any of these concerns? ■ It takes a lot of time for manual work ■ Grade classification is difficult, leading to oversights in visual inspections ■ Relying on hired labor increases labor costs ■ While skilled workers are aging, there are no successors Automate with image inspection software! 1) The defect detection tasks that were done manually can be automated ⇒ Detect scratches, discoloration, dirt, etc., and reduce work time! 2) Difficult grade classification can be easily done by anyone ⇒ Various rules can be used for differentiation! Free yourself from manual work! 3) Operate from a single computer! Start at a low cost ⇒ Significantly reduce implementation costs! Keep the number of workers to a minimum and reduce labor costs! Prevent oversights in visual inspections and enhance quality value! You can start small without the need for large machinery! 【Inspection Examples】 ■ Classification of tomatoes by size ■ Classification of flower types ■ Identification of corn seeds ■ Differentiation of tea leaf types ■ Inspection of orange blemishes ■ Detection of defects in coffee beans *For more details, please see the related links.

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  • Visual Inspection Equipment

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[AI Image Inspection Case] Inspection of Silver Wire Glass

[AI Image Inspection Case] Inspection of Silver Wire Glass

It determines the detection of defects and smudges in silver paste conductive bonding!

Sintering with silver paste causes less damage to the materials compared to soldering, and it can be said that this material will be used more widely in the future as a substitute for solder. 【Inspection Settings and Results】 By using the "Scratch and Defect Inspection" feature of EasyInspector, we were able to detect both chipping and smudging in 0.40 seconds by applying one inspection frame to the entire area. The size (resolution) per pixel is approximately 7μm (0.007mm). In actual operation, our "sm＠rtROBO" is used to move the inspection area while being inspected by a single camera. 【Software and Equipment Used】 Software Used: EasyInspector Field of View: 14 mm Minimum Size of Inspection Target: Approximately 7μm (0.007mm) Number of Inspection Points: 1 Camera Resolution: 5 million pixels Lens Focal Length: Not recorded Distance Between Lens and Product: 95mm Lighting: Backlight illumination The current 'EasyInspector2' color package can be used for [Scratch and Defect Detection].

  • Image Processing Software

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[AI Image Inspection Case] Monitoring of Manufacturing Machinery

[AI Image Inspection Case] Monitoring of Manufacturing Machinery

We will monitor the manufacturing machines using AI image inspection software!

This is an inquiry regarding the monitoring of manufacturing machines from manufacturers of drive recorders and car navigation systems installed in vehicles. We have received six images for monitoring, and we are inquiring about the settings tailored to each reading. Our company website offers a free trial of the inspection software. Since the suitability of the inspection software varies depending on the work, please feel free to contact us if you have any questions. 【Inspection Settings and Results】 For three of the images, we are using the "Specified Color Presence Inspection" function to detect the color when illuminated, and we determine pass or fail based on whether it is detected or not. Images D and E utilize the "Meter Reading Function," but we believe there may be variations in lighting between the upper and lower parts of the meter, so illuminating the lower part, which tends to be darker, with bar lighting or similar would likely reduce false detections. Regarding image F, reading is possible with the image you provided. Additionally, some minor adjustment for misalignment is possible, but fixing the camera is essential.

  • Image Processing Software

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