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Visual inspection software Product List and Ranking from 19 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.

Visual inspection software 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. スカイロジック Shizuoka//software
  2. エーディーディー Kyoto//software
  3. 株式会社Roxy Aichi//IT/Telecommunications
  4. 4 藤川伝導機 Tokyo//Industrial Machinery
  5. 5 HACARUS Kyoto//others

Visual inspection software 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. AI General Purpose Appearance Inspection Software 'EasyInspector2' スカイロジック
  2. [AI Image Inspection Case] Measurement of the Width of the Blade at the Center of the Drill スカイロジック
  3. AI visual inspection software "DeepSky" スカイロジック
  4. [AI Image Inspection Case] 7-Segment Display Reading スカイロジック
  5. 4 We will automate simple visual inspections such as forgetting to attach parts and the presence or absence of processing holes. エーディーディー

Visual inspection software Product List

121~150 item / All 466 items

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[AI Image Inspection Case] Screw Impact Inspection

The AI image inspection software detects dents in screws.

"Marks from screws" is a very common request for verification. While it may be better to inspect using our conventional general-purpose image inspection software "EasyInspector," in operations where judgments are made on a conveyor or during work, we sometimes recommend using the AI-based inspection software "DeepSky" for defects like marks that come in various colors and shapes. This time, we created a thread conveyor and reported on the detection of defects around the screws in a full 360-degree rotation. [Inspection Settings and Results] The task of enclosing the area we want to detect (in this case, marks) in a rectangle is called annotation. We trained the model with 24 annotated teacher images, rotating them approximately 2300 steps (about 15 minutes). The training time varies depending on the specifications of the PC. In the right image, the marked area is indicated by a green detection frame.

  • Image Processing Software
  • Visual inspection software

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[AI Image Inspection Case] Scratch Inspection of Metal Parts

The AI image inspection software detects multiple scratches on metal parts!

Manufacturers of monitoring and measurement devices are considering our inspection software. We conducted a free evaluation for detecting scratches on the device's hardware. Sending actual samples allows us to provide the most reliable report. In that case, you will need to send both good products and the workpieces with defects you want to detect. Please contact us for more details. 【Inspection Settings and Results】 The process of enclosing the areas to be detected in a rectangle, as shown in the left image, is called annotation. Since the scratches were of different types, we labeled and registered them as "Scratch A / Scratch B / Scratch C." Although it was not part of the requested inspection items, we were able to capture a small dent on the cylindrical part clearly, so it was included as a detection target (Scratch C). (Detection will not occur unless annotated.) The clip was fixed, so the clip area was set outside the field of view. 【Software and Equipment Used】 Software Used: DeepSky Learning Edition Field of View: Approximately 64 x 51 mm Minimum Size of Inspection Target: 20 mm Number of Inspection Points: 1 in total Camera Resolution: 1.3 million pixels Lens Focal Length: 25 mm Distance Between Lens and Product: Approximately 260 mm Lighting: Ring Lighting

  • Image Processing Software
  • Visual inspection software

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[AI Image Inspection Case] Detection of Defects in Precision Cast Parts

We will inspect and determine defects in precision cast parts using AI image inspection software!

Our inspection software users include manufacturers of precision motors. They focus on precision casting, emphasizing technology and experience. We are pleased that our inspection software can contribute to such high-performance, precise manufacturing. [Inspection Settings and Results] Settings were made with DeepSky. When illuminated, the area closest to the camera in the center glows white; this is registered as OK, and when OK is detected, it is considered a pass. Even in areas where OK cannot be detected, if NG is not detected, it is set to pass, allowing us to meet the customer's judgment requirements. The image shows the types of labels (for distinguishing the parts to be detected). [Software and Equipment Used] Software Used: DeepSky 2.0 Field of View: Approximately 48 x 36 mm Minimum Size of Inspection Target: 20 mm Number of Inspection Points: 1 (Label 4) Camera Resolution: 1.3 million pixels Lens Focal Length: 12 mm Distance Between Lens and Product: 130 mm Lighting: Ring Lighting Distance Between Lighting and Product: 130 mm

  • Image Processing Software
  • Visual inspection software

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[AI Image Inspection Case] Missing Chip Capacitor

The AI image inspection software detects missing chip capacitors on the circuit board!

It seems that among the customers using EasyInspector, the majority are manufacturers who use it for inspecting electronic circuit boards. This time, we are also dealing with the assembly of electronic circuit boards. Due to requests to inspect various parts, we received inquiries about camera environments and settings after downloading the free trial version from our website. 【Inspection Settings and Results】 By using EasyInspector's "Color Comparison Inspection" feature, we were able to detect differences in one location and determine visually similar items (different products) in less than one second. Our website offers a service where you can use EasyInspector's "60-day free trial version" from the download page. There has been an increasing trend in inquiries regarding the inability to lose work due to security and compliance concerns, but many customers are making use of it.

  • Image Processing Software
  • Visual inspection software

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[AI Image Inspection Case] Detection of Solder Bridges

We will inspect for the presence or absence of solder bridges using AI image inspection software!

The inspection of solder bridges, whether present or absent, is one of the defects we receive numerous inquiries about. Verification is conducted by sending photos. Our affordable inspection software is being utilized across various sectors. We hope to support your company in stable product manufacturing with our inspection software. 【Inspection Settings and Results】 By using the "Luminance Change Inspection" feature of EasyInspector, we were able to determine a solder bridge at one connected solder point in 0.04 seconds. The pink frame in the right image represents the inspection area. The green line in the left image indicates luminance. The pass or fail is determined by how many low luminance areas (black parts) between the solders are detected, and the settings ensure that the solder bridge does not form a clean green wavy line, resulting in a failure. In this case, a count of 6 was measured, which is a pass. Additionally, we were able to simultaneously assess the presence or absence of other components such as chips and capacitors, as well as their polarity, for a total of 10 inspection points. 【Software Used】 Software Used: EasyInspector710 Number of Inspection Points: 10

  • Image Processing Software
  • Visual inspection software

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[AI Image Inspection Case] Air Conditioner Parts Presence Inspection

We will determine the presence or absence of seals, resin parts, and cables from a single image!

We received an inquiry from a camera control equipment manufacturer regarding the customer's request to create a system for air conditioning implementation inspection. 【Inspection Settings and Results】 By using the "Comparison with Master Image and Presence of Specified Color Inspection" feature of EasyInspector, we were able to detect the presence and positional differences in three locations and make a judgment in 0.34 seconds. For each of the three inspection locations, we propose two types of inspection methods: "Comparison with Master Image" and "Presence of Specified Color Inspection." The inspection is conducted using the images provided. 【Software Used】 Software Used: EasyInspector710 Number of Inspection Locations: 3 The current 'EasyInspector2' color package can perform inspections with [Presence of Specified Color] and [Comparison with Master Image].

  • Image Processing Software
  • Visual inspection software

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[AI Image Inspection Case] OCR Reading of Circuit Boards

We will perform OCR reading on the chip capacitors printed on the electronic component mounting board!

The OCR reading printed on the chip capacitors of electronic component mounting boards is a feature of our inspection software that many companies utilize. Additionally, it is often capable of detecting damage to components, solder debris, and the presence of dirt. 【Inspection Settings and Results】 By using the "OCR" function of EasyInspector, there were parts of the IC chip's serial number that could be read by OCR and parts that could not. This verification was conducted in 2015, and it has since been upgraded to the "PCRPro" function, allowing for more accurate readings. As shown in the left image, readings can be performed by registering a dictionary and setting binarization, but it can be challenging if the characters are connected, lines are interrupted, or they appear as dots. Please try our EasyInspector to see how well it can perform binarization. 【Software Used】 Software Used: EasyInspector710 Field of View: No records Number of Inspection Points: 3 The current 'EasyInspector2' RD (ReaDing) package can inspect using 【OCR (Character Recognition)】【Machine Learning OCR】.

  • Image Processing Software
  • Visual inspection software

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[AI Image Inspection Case] Detection of Chipping on the Side of a Circuit Board

The AI image inspection software detects missing parts on the substrate side!

If there are chips on the substrate, they are treated as defective products. Electronic component manufacturers pay close attention to the handling of parts, but inevitably, a few defective items do occur. The defect in this case was a chip on the side of the substrate. During visual inspection, it was difficult to distinguish between the chipped area and the substrate pattern, making the inspection challenging. The goal was to supplement this difficulty with image recognition to inspect efficiently and accurately. 【Inspection Settings and Results】 Using the "Scratch Inspection" feature of EasyInspector, we inspected the chips on the side of the substrate. By tilting the substrate slightly, the chips became easier to see. When we set the detection sensitivity (luminance difference) to a strict level (10), we were able to detect the chipped area, but the substrate pattern was also detected. After further inspection, we loosened the detection sensitivity (to 20), which successfully allowed us to detect only the chips without detecting the substrate pattern. 【Software and Equipment Used】 Software Used: EasyInspector310 Minimum Size of Inspection Target: Approximately 3-5mm Number of Inspection Points: 4 Camera Resolution: EI-Scan Current inspections can be performed with the 'EasyInspector2' color package [Scratch and Object Detection].

  • Image Processing Software
  • Visual inspection software

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[AI Image Inspection Case] Counting Processed Parts

We will inspect for any defective items while counting the number of necessary parts!

We often receive requests to count the number of necessary parts while inspecting for any defective items in inquiries to our company. Unmanned inspection and counting on a conveyor belt is a field in which DeepSky excels. This time, we received an inquiry about whether we could count processed parts (e.g., φ0.8×2.5mm) arranged randomly on a flat pallet. They provided images using backlight illumination. 【Inspection Settings and Results】 The left image shows a part of the work screen for the annotation process, where we outline the areas we want to identify (defects). As can be seen in the right image, all 10 annotated teacher images used were counted correctly. The ratio of successful counts for non-teacher images was 30%. There was a tendency for higher rates of miscounting with parts that were more closely stuck together. By using non-detected images for further training, we can detect defects that were previously undetectable. Further training is also one of DeepSky's strengths.

  • Image Processing Software
  • Visual inspection software

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[AI Image Inspection Case] Clip Overhang

Measure the vertical dimensions of the clip and determine the pass or fail based on the overall length.

This is a request for a simple verification from a manufacturer of custom automatic machines, who specializes in high precision and high-speed transport. In the free sample evaluation, we will first conduct a simple verification using the samples or images provided, and report the verification results. After that, we recommend conducting tests (feasibility verification) assuming actual operation, where we will evaluate processing time and judgment accuracy. 【Inspection Settings and Results】 We conducted verification using the "Dimension and Angle Inspection" function of EasyInspector on the samples we received. We measured the vertical dimension of the clip and made pass/fail judgments based on the overall length. It was possible to make pass/fail judgments in 0.89 seconds. The inspection cycle may vary depending on the specifications of the PC. 【Software Used】 Software used: EasyInspector710 The current 'EasyInspector2' MS (MeaSure) package can perform inspections for [Position and Width Measurement] and [Angle Measurement].

  • Image Processing Software
  • Visual inspection software

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[AI Image Inspection Case] Coating Amount Inspection of Coating Agents

We will conduct an inspection of the application amount of the coating agent using AI image inspection software.

We reported on the re-evaluation conducted with DeepSky, which was just released in 2020, using the sample images that you previously inquired about from the comprehensive manufacturer of containers and packaging materials. The inspection was performed using software that employs AI (Deep Learning). By training the software on the areas we want to detect, it can adjust its own setting parameters and recognize them. In actual operations, various patterns of defects (size and characteristics) are expected, so it is necessary to increase the number of training images. [Inspection Settings and Results] "DeepSky" significantly differs from conventional software and detection methods, allowing for the detection of pre-trained feature areas from the screen. I thought that "DeepSky" could be utilized for the inspection of coating amounts of the coating agent that you previously inquired about. Unlike before, it is no longer necessary to increase the number of inspection frames for certain settings. However, it is necessary to prepare multiple images in advance for cases of failure, but since September 2021, it has become possible to augment training images. The function to augment a single defective image into up to 36 images by adjusting brightness, orientation, angle, and noise has been implemented, making it more convenient to use.

  • Image Processing Software
  • Visual inspection software

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[AI Image Inspection Case] Metal Drip Inspection

We will inspect metal products for "dents," "unwelded areas," and "holes."

To ensure stable quality during shipment, many of our customers operate at low cost using our inspection software. 【Inspection Settings and Results】 By using the "Comparison with Master Image" feature of EasyInspector, we detected differences in two areas: "unwelded" and "punctured." Additionally, using the "Scratch and Defect Inspection" feature, we identified the black, band-like charred areas that occurred during "sagging." The inspection cycle time was 0.25 seconds. 【Software and Equipment Used】 Software Used: EasyInspector310 Field of View: Approximately 13 x 10mm Minimum Size of Inspection Target: 1mm Number of Inspection Points: 3 Camera Resolution: 1.3 Megapixels Lens Focal Length: 35mm + 10mm Macro Ring Distance Between Lens and Product: 130mm Lighting: Indoor Fluorescent Light The current 'EasyInspector2' color package allows inspection with the features of [Comparison with Master Image] and [Scratch and Defect Detection].

  • Image Processing Software
  • Visual inspection software

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[AI Image Inspection Case] Detection of Dents in Metal Products

It detects the presence or absence of metal products and differences, and determines similar-looking imitations (different items).

This is a request for a free evaluation of cast products. There was an inquiry about wanting to incorporate inspections if they can be done at a low cost. There are still many inquiries about die-cast and cast products; nowadays, we often suggest easy settings using the AI-based inspection software DeepSky. If you are inspecting workpieces made of reflective materials like cast products while flowing them on a conveyor, please check "DeepSky." 【Inspection Settings and Results】 By using the "Scratch Inspection" feature of EasyInspector, we were able to detect the presence or absence of defects at one location (simultaneous inspection of three workpieces) and determine visually similar items (different products) in 0.3 seconds. The green numbers indicate OK (good products) within the acceptable range, while the red text indicates NG (defective). The settings for good and defective products can be changed.

  • Image Processing Software
  • Visual inspection software

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[AI Image Inspection Case] Judgment of Welded and Molded Metal Products

Detect the presence or absence and positional differences in four locations, and determine similar-looking imitations (different items)!

A customer from a metal processing manufacturer inquired about using inspection software to prevent contamination due to product similarities, differences in plate thickness, and variations in hole diameter. 【Inspection Settings and Results】 By using EasyInspector's "Comparison with Master Image" function and "Color Comparison Inspection" function, we were able to detect the presence or absence and positional differences in four locations, allowing us to determine visually similar products (different items) in 0.25 seconds each. Since it was not possible to capture all inspection areas in a single field of view, we proposed using three cameras. 【Software and Equipment Used】 Software Used: EasyInspector300 Field of View: Approximately 198 x 147mm Minimum Size of Inspection Target: 10mm Number of Inspection Points: 4 Camera Resolution: 1.3 Megapixels Lens Focal Length: 12mm Distance from Lens to Product: 500mm Lighting: Indoor Fluorescent Light The current 'EasyInspector2' color package can perform inspections using the [Comparison with Master Image] and [Color Comparison Extraction + Particle Count] functions.

  • Image Processing Software
  • Visual inspection software

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[AI Image Inspection Case] Detection of Liquid Drips, Unfinished Products, and Holes in Metal Products

Detect and assess defects in metal products using AI image inspection software!

We received an inquiry from a thermosensor manufacturing company regarding the automation of shape verification. This is a free evaluation based on the images you provided. Due to the spread of the COVID-19 virus, products that detect temperature are increasing in variety. We encounter new forms of the latest surface temperature detection systems in various locations. This free evaluation is from 2017, but it reaffirms that our inspection software is being utilized in various scenarios. 【Inspection Settings and Results】 By using the "Comparison with Master Image" feature of EasyInspector, we were able to determine visually similar items (different products) in less than 0.48 seconds. In actual inspections, the appearance may change due to factors such as lighting reflections, which could affect the inspection results. For inspection items labeled "unprocessed" or "punctured," the shapes differ, so inspection methods using backlighting may be required. Additionally, in the inspection of "sagging," the size of the sagging may affect the inspection results.

  • Image Processing Software
  • Visual inspection software

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【AI画像検査事例】金属部品の面取り部分の寸法測定

AI画像検査ソフトで金属部品の面取り部分の公差±0.1mmの寸法計測をします!

重機メーカーの製品で金属部品の面取り部分の寸法計測をしました。公差±0.1mmの計測です。 重機製造の現場のみならず、様々な場面で1mmの狂いも許されない緻密に計算されている製造現場のお仕事が私たちの安心、安全、快適な毎日に貢献してくれています。 検査設定と検査結果 EasyInspectorの「寸法角度検査」機能を使用することにより1カ所の穴の面取り部分の計測ができました。検査時間は0.44秒でした。寸法計測については繰り返し精度テストでご報告することが多いです。カメラやレンズ、照明などの環境の選定により小さな単位の計測も可能になります。 弊社の検査ソフトを通じて安心、安全、快適な日常に携わることができたら幸いです。

  • Image Processing Software
  • Visual inspection software

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[AI Image Inspection Case] Installation Inspection of Similar Metal Parts

We will determine whether similar-looking imitation products (different items) have been installed!

It is common in various industries to manufacture products with multiple models on the same line. This time, we inspected whether similar parts were incorrectly installed. The customer, a meter manufacturing company that contacted us, was having trouble with the installation of similar parts. 【Inspection Settings and Results】 By using EasyInspector's "Presence of Specified Color Inspection" feature, we were able to detect a single difference and determine visually similar counterfeit products (different items) in less than 0.13 seconds. A key point for this inspection was positioning the camera diagonally above the inspection item. 【Software and Equipment Used】 Software Used: EasyInspector710 Field of View: 400 x 300mm Minimum Size of Inspection Target: 2mm Number of Inspection Points: 1 Camera Resolution: 300,000 pixels Lens Focal Length: 25mm Distance Between Lens and Product: 320mm Lighting: Fluorescent lighting, approximately 300mm distance to the inspection area The current 'EasyInspector2' color package can perform inspections for the "Presence of Specified Color."

  • Image Processing Software
  • Visual inspection software

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[AI Image Inspection Case] Scratch Inspection of Metal Cross Sections

We will inspect the "core defects" of metal cross-sections using AI image inspection software!

We received sample products from a brass product manufacturer and conducted an inspection of the "core defects" in the metal cross-section. In metal products where strength and wear resistance are required, scratches and bubbles are defects that should be noted. 【Inspection Setup and Results】 By using EasyInspector's "Scratch Inspection" feature, we were able to detect "core defects" across the entire cross-section in 1.14 seconds. The left image is the master image. The pink frame indicates the set inspection area. The right image shows the detected defects (enlarged). The red color represents the detected pixels, and the threshold for determining failure based on the number of detected pixels will be set by the customer. It is important to arrange the camera (lens) → ring lighting → inspection items in a straight line for this inspection.

  • Image Processing Software
  • Visual inspection software

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[AI Image Inspection Case] Screw Presence Inspection

The AI image inspection software detects 50 screws from the frame!

In a pachinko parts manufacturer, when installing pachinko frames, the color of the screws may be changed depending on the product. There were issues with mistakes where the color of the screws did not match the installation position, as well as defects due to missed installations being shipped. Therefore, we considered using image processing for mass production. 【Inspection Settings and Results】 To detect 50 screws within half of the field of view of a product measuring 650mm x 450mm, we used the "Color Comparison Inspection" feature of EasyInspector, specifically the "Presence of Specified Color Inspection." This setting detects the color of the screws that should be present in each inspection frame. While detecting the color of the screws was relatively easy, we tightened the color judgment tolerance settings in areas where the colors were similar when the screws were removed, allowing us to detect missed installations of screws.

  • Image Processing Software
  • Visual inspection software

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[AI Image Inspection Case] Screw Presence Inspection

The AI inspection software detects and evaluates two-colored screws in the image.

When inserting screws, whether they are positioned correctly has a significant impact on the completion of the product. I considered whether this confirmation could be done using image recognition software. [Inspection Settings and Inspection Results] There are six holes within the field of view, and among them, four holes have silver screws, while two holes have black screws, which is the criteria for passing. Therefore, for the areas with silver screws, we use EasyInspector's "Color Comparison Inspection" feature to compare with the "Master Image" to check whether there is a silver screw in the designated inspection frame. For the areas with black screws, we used the "Presence of Specified Color Inspection" in the "Color Comparison Inspection." The area without a screw appears as a clean circle in black (background), while when a screw is present, it takes on a triangular shape, allowing us to inspect how many pixels of black are in the inspection frame. By setting passing criteria for each inspection frame, we were able to recognize the four silver screws and the two black screws.

  • Image Processing Software
  • Visual inspection software

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[AI Image Inspection Case] Inspection of Presence or Absence of Screws in Reels

The AI image inspection software will check for the presence of screws in two locations on the reel.

The inspection is to determine the presence or absence of screws based on the provided image. We assessed whether the screws in two locations were properly installed. 【Inspection Settings and Results】 We used the "Color Comparison Inspection / Presence of Specified Color Inspection" feature of EasyInspector. The specified color was set to the color of the screws. The processing was completed in less than one second, but in the provided image, the contrast was too low for detection. By adjusting the lighting and taking the photo, it is expected that detection will be possible. 【Software Used】 Software Used: EasyInspector310 Number of Inspection Points: 2 The current 'EasyInspector2' color package can perform inspections for the presence of specified colors.

  • Image Processing Software
  • Visual inspection software

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[AI Image Inspection Case] PCB Assembly Inspection

The AI image inspection software checks for "misalignment" of the board's resist and "misalignment of the silk," among other things.

The resist on the substrate is widely used due to its small size and fine details. However, to ensure proper functionality, it is necessary to check for issues such as "misalignment of the resist" and "misalignment of the silk." Electronic component manufacturers have incorporated image processing software to efficiently carry out these inspection tasks. 【Inspection Settings and Results】 Using the "Master Image Comparison" function of EasyInspector's "Color Comparison Inspection," we inspected the resist misalignment (2 locations) and silk misalignment (2 locations). By setting an upper limit for the pass/fail criteria, we configured it to fail if the detected pixel misalignment exceeded the set threshold. We rigorously set the position of the inspection targets and performed misalignment correction, successfully detecting misalignments of less than 1mm. 【Software and Equipment Used】 Software Used: EasyInspector710 Field of View: 850mm x 850mm Minimum Size of Inspection Target: Approximately 3mm x 4mm Number of Inspection Points: 4 locations Camera Resolution: Using the ScanSnap SV600 scanner Current inspections can be performed with the 'EasyInspector2' color package [Comparison with Master Image].

  • Image Processing Software
  • Visual inspection software

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[AI Image Inspection Case] Counting the Number of Circuit Boards

We will measure the number of overlapping circuit boards using AI image inspection software!

When measuring the number of circuit boards handled by an electronic component manufacturer while they are stacked with interleaving paper, we aimed to reduce the time spent on manual work and eliminate measurement errors by incorporating image recognition. 【Inspection Setup and Results】 To measure 52 circuit boards, we read images using EI-Scan, improved the image accuracy, and utilized the "Luminance Change Inspection" feature of EasyInspector. First, we conducted verification with the interleaving paper pattern, and by neatly aligning the gray interleaving paper with the brown circuit boards, we were able to accurately count the number of boards. Next, we also verified the pattern without interleaving paper, and since shadows were created between each board, we were able to count them accurately as well. Furthermore, by scanning at a 30-degree angle, we were able to detect chips of about 0.2mm. 【Software and Equipment Used】 Software Used: EasyInspector310 Field of View: 70mm (thickness when stacking 52 circuit boards) Minimum Size of Inspection Target: Approximately 10mm Number of Inspection Points: 52 Images: Images read using EI-Scan For counting the number of boards, 'EasyNumbers' is recommended.

  • Image Processing Software
  • Visual inspection software

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[AI Image Inspection Case] Inspecting color changes when treated with chemical solutions.

We will inspect the color change when treated with a copper-colored disc using AI image inspection software!

In the electronic components manufacturing process, there is a step where a copper-colored disc with a diameter of 300mm has an area of about 3mm on its outer circumference treated with a chemical solution, resulting in a color change. During this process, there were abnormalities where the chemical solution was not being dispensed properly, leading to untreated areas, as well as cases where the width that should have been treated was not processed correctly. As a solution, it was considered that using image processing software would allow for more accurate and quicker inspections than visual checks. 【Inspection Settings and Results】 Using the "Presence of Specified Color Inspection" function of EasyInspector's "Color Comparison Inspection," we checked whether the chemical solution was being dispensed correctly, and using the "Dimension Angle Inspection" function, we verified whether the width that should have been treated was processed correctly. The field of view captured about 1/4 of the disc, and since the difference between the copper color of the disc and the changed black color of the chemical solution was clear, we were able to conduct accurate inspections.

  • Image Processing Software
  • Visual inspection software

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[AI Image Inspection Case] Inspection of Silver Wiring Glass

The detection of defects and smudging in silver paste conductive bonding has been determined.

Sintering with silver paste causes less damage to the materials compared to soldering, and it can be said that it will be more widely used in the future as a substitute for solder. 【Inspection Settings and Results】 By using the "Scratch and Defect Inspection" function of EasyInspector, we were able to detect both chipping and smudging in 0.40 seconds by applying a single inspection frame to the entire area. The size (resolution) per pixel is approximately 7μm (0.007mm). In actual operations, 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 Current 'EasyInspector2' color package [Scratch and Defect Detection] can be used for inspection.

  • Image Processing Software
  • Visual inspection software

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[AI Image Inspection Case] Inspection of Hole Positions on Electronic Circuit Boards

We will inspect the positions of the holes on a small electronic circuit board with 9 holes arranged in 2 vertical columns.

In my perception, it seems that the majority of customers using EasyInspector are involved in inspections of electronic substrates and assembly boards. 【Inspection Settings and Results】 It was difficult to focus on all nine images in the "Comparison with Master Image" feature of EasyInspector, so I decided to split them into two groups of five and four for inspection. EasyInspector cannot make inspection judgments unless it captures images with a resolution of more than one pixel, so it is important to set the tolerance for defects to more than one pixel. By creatively adjusting the lighting, I was able to conduct smooth inspections of holes 4 to 5 at a speed of 0.80 to 0.90 seconds. 【Software and Equipment Used】 Software Used: EasyInspector310 Field of View: Not recorded Minimum Size of Inspection Target: 2mm Number of Inspection Points: 8 Camera Resolution: 1.9 million pixels Lens Focal Length: Not recorded Distance Between Lens and Product: Not recorded Lighting: Backlight illumination Current 'EasyInspector2' color package allows inspections using the "Comparison with Master Image" feature.

  • Image Processing Software
  • Visual inspection software

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[AI Image Inspection Case] Verification of Manufacturing Date Printing

We will read the manufacturing date of the product in two places, 15 characters each!

Manufacturers of chemical products such as ink, like those in other industries, clearly indicate the manufacturing date and other details during delivery packaging. We conducted a simple verification of character reading for shipment management. Our image inspection software has the basic functionality to save inspection results in CSV format and images. This makes product management easier, and it is being utilized by various manufacturers. [Inspection Settings and Inspection Results] By using the "OCR Pro" feature of EasyInspector, it was possible to read 15 characters in two locations in 0.09 seconds. If the inspection is only to check for the presence or absence of printing, it is possible to configure a system for under 100,000 yen by combining the EI100 software with a commercially available web camera. Additionally, for automation, you can use our I/O unit or perform external control via socket communication or RS232C communication. The image on the right shows the detection frame for passing products, while the image on the right displays an enlarged view of the detection frame for failing products.

  • Image Processing Software
  • Visual inspection software

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[AI Image Inspection Case] Cardboard Printing Reading

We will read the printing of barcodes and other items on cardboard using AI image inspection software!

This is an inquiry from a trading company. We will verify whether it is possible to read the product name, JAN code, expiration date, and lot number printed on the outside of the cardboard using an industrial inkjet printer based on the images provided. This time, we have incorporated the images you provided into our software. Regardless of the industry, I believe labels are displayed at the time of delivery, and this is an example that can be applied across various industries. 【Inspection Settings and Results】 Regarding the reading of the barcode and other prints on the cardboard that you contacted us about, we have confirmed it with the images you provided. As a result, we were able to read QR codes, barcodes, dates, model numbers, etc., from a portion of the images provided, which falls within the scope that we can accept for free as a simple verification. By using EasyInspector's "Bar/QR Reading" function and "OCR function," we were able to make judgments at four locations in 0.54 seconds. The left image shows the inspection frame settings, and the right image shows the detection frame.

  • Image Processing Software
  • Visual inspection software

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[AI Image Inspection Case] OCR Reading of Laser Printing

The AI image inspection software reads a 9-character laser print in one location!

The manufacturer of the USB memory has the product model number printed in laser, and visual checks were conducted for issues such as fading, misalignment, or absence of printing. There was an inquiry regarding automation. 【Inspection Settings and Results】 By using the "OCRPro" feature of EasyInspector, we were able to successfully read the laser print of 9 characters in one location in 0.43 seconds. The left image shows the binarization settings screen "Process 1". The right image is the dictionary function registration screen. It will be possible to read characters that are not commonly used fonts by utilizing binarization and the dictionary function. 【Software and Equipment Used】 Software Used: EasyInspector710 Field of View: 47 x 37mm Minimum Size of Inspection Target: 20mm Number of Inspection Characters: 9 characters Camera Resolution: 1.3 million pixels Lens Focal Length: 35mm + 5mm close-up ring Distance from Lens to Product: Approximately 275mm Lighting: Linear fluorescent light Distance from Lighting to Inspection Item: Illuminated from above at an angle. Current 'EasyInspector2' RD (ReaDing) package can perform inspections with [OCR (Optical Character Recognition)] and [Machine Learning OCR].

  • Image Processing Software
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[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
  • Visual inspection software

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