Last Updated： Aggregation Period:Nov 12, 2025～Dec 09, 2025
This ranking is based on the number of page views on our site.
Last Updated： Aggregation Period:Nov 12, 2025～Dec 09, 2025
This ranking is based on the number of page views on our site.
Last Updated： Aggregation Period:Nov 12, 2025～Dec 09, 2025
This ranking is based on the number of page views on our site.
451～465 item / All 470 items
AI Visual Inspection Solution "HACARUS Check"
"HACARUS Check" is an automation solution for visual inspection of automotive parts, combining AI software that enables easy learning with only a small number of good samples and inspection equipment that integrates various mechanisms, including robots.
AI appearance inspection software that achieves high-precision automation of inspections. Automating appearance inspections with proprietary deep learning technology!
Preferred Networks Visual Inspection is software that achieves high-precision automation of visual inspection, which has traditionally been difficult, through its unique deep learning technology (deep learning, AI). It enables high-precision inspection with minimal training data and simple annotations, allowing for the construction of inspection systems in a short period and at low cost. Features of this product: ◾️ High precision with little data, no detailed annotations required ◾️ Intuitive learning management via GUI ◾️ Visualization of defects ◾️ Flexible and rapid system setup For inquiries, please feel free to visit the official website below!
![[Customization Example] Image Inspection Using AI](https://image.mono.ipros.com/public/product/image/4bb/2000878104/IPROS15679782402413749652.png?w=280&h=280)
To enable AI to assess features from images, we support inspections of various products! We provide photography know-how.
We would like to introduce a case study of customization conducted at KB Device Co., Ltd. By learning images of good products, we can detect "non-good products." The final judgment on "non-good products" will be made by humans, but we expect that AI assistance will lead to labor reduction and improved inspection speed. Our company, as a professional in video production, provides know-how for capturing images with cameras, which can be challenging for AI software vendors alone. Additionally, by integrating with the recording function of the recorder, traceability during events such as LOT defects becomes smoother. [Case Overview] - Detecting "non-good products" by learning images of good products. - The final judgment on "non-good products" will be made by humans, but AI assistance is expected to lead to labor reduction and improved inspection speed. - AI can solve challenges that require a high level of skill, such as the appearance inspection of complex products. - Client: A certain manufacturing company. *For more details, please refer to the related links or feel free to contact us.
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.
![[AI Image Inspection Case] Inspection of black spots, scratches, and shorts on connectors.](https://image.mono.ipros.com/public/product/image/772/2001484388/IPROS2042438823379818259.png?w=280&h=280)
We will conduct inspections for black spots, scratches, and shorts on connectors using AI image inspection software!
A manufacturer of high-performance precision plastic molds and press molds has contacted us through our website to automate visual inspection. On our website, you can download the 60-day free trial software of EasyInspector and try out DeepSky's web version. Please check it out. 【Inspection Settings and Results】 We submitted the results for both EasyInspector and DeepSky. Considering the variability in the pad suction process and the uncertainty of where defects may appear on the parts, it is likely that DeepSky is more suitable for this situation. The web trial version of DeepSky only allows you to find what you have taught it. If you would like to verify the OK/NG judgment, we can lend you the full version for free. 【Software Used】 Software used: EasyInspector, DeepSky Learning Edition Number of inspection points: 1 location, finding defects from the entire screen.
![[AI Image Inspection Case] Inspection of Silver Wire Glass](https://image.mono.ipros.com/public/product/image/4a8/2001501811/IPROS12890163628649863831.png?w=280&h=280)
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].
Capable of handling various products such as metal parts, substrates, fibers, and food! Only a small amount of training samples is needed. An AI visual inspection software that can be implemented immediately at a low cost.
Due to the recent labor shortage, many factories are struggling with a lack of inspection personnel. While there is a strong demand for automation, image processing inspections using AI technology require complex rule settings and the collection of a large number of defective product samples, making the barriers to implementation quite high. The AI visual inspection software "Gemini eye" employs a unique technology that can calculate the degree of abnormalities without being affected by variations in product accuracy or misalignment. It requires no complex settings and can detect defects such as scratches, burns, imprint failures, black spots, cracks, and chips by simply memorizing around a few dozen training data. 【Features】 - Learning time is approximately 2 to 3 hours - Immediate implementation is possible by connecting a USB to a PC - No complex settings are required; just memorize the good products - Applicable to a wide variety of product inspections, including mechanical parts, textiles, and food ★ You can view materials that include case studies from the "PDF Download." Trial versions are also available upon request. Please feel free to contact us.
![AI Appearance Inspection [RoxyAI] Explanation - AI Model Creation Edition](https://image.mono.ipros.com/public/product/image/a14/2000896009/IPROS72012165033443103408.png?w=280&h=280)
Explaining the features of the appearance inspection software "Roxy AI"! This time, I will explain in detail the process of creating an AI model!
Would you like to start automating visual inspections, which are currently judged by human hands, eyes, and experience? Say goodbye to the black box! Understandable and tangible! Usable on-site! Introducing the AI visual inspection product 【RoxyAI】, designed with simplicity for on-site usability: - Determines if defects are present in the inspection area / Identifies types of defects / Detects unknown defects - Learns features from a small amount of training data / Unique AI algorithm with high speed and accuracy (patent pending) - Unique visualization technology that is easy to understand, even for those unfamiliar with AI (patent pending) - Understand weaknesses by checking AI sensitivity through touch. Anyone can easily use it without prior AI knowledge. Leveraging our experience in designing and manufacturing dedicated machines, inspection equipment, factory logistics, and automation systems in the FA field, we offer proposals and support for AI verification, real machine evaluation, and automation of visual inspection processes. We also provide support for the automation of production processes, including pre- and post-inspection processes, so please feel free to contact us. Sanki Co., Ltd. (Atsuta-ku, Nagoya) is the official distributor of RoxyAI.
This is an announcement for a free trial of the appearance inspection AI for those considering its introduction to their in-house manufacturing line.
We are considering the introduction of appearance inspection AI into our manufacturing line, but would you like to test whether it can really be automated? By simply preparing photos of normal and defective products, we will conduct a trial using our MyStia's recognition software IP Stier ER1 at no charge. - Companies that are worried whether our products can undergo appearance inspection - Those who want to implement it but are unsure if it will be effective - Companies that want to try it but have no spare capacity Please take this opportunity to contact us.
Please give the unique concept AI appearance inspection product "Roxy AI," which creates high-quality AI by organizing data, a try.
If you fit the following criteria, we encourage you to try the trial version of Roxy AI: - You want to stop visual inspections and automate the testing process. - You want to add sensory inspections to rule-based testing. - You feel limited by learning from normal products. - You have not had favorable results with other companies' AI inspection products. The trial period is one month. During the trial period, you can use all features. Additionally, the environment and AI models created during the trial version can continue to be used after purchasing a formal license. If you have a PC equipped with an NVIDIA GPU, you can start testing right away. (Please download the PDF to check the recommended specifications, etc.) If you do not have a PC with a GPU, JTG Corporation offers rental (for a fee) of PCs with Roxy AI pre-installed, so please feel free to contact us.
![[AI Image Inspection Case] Dimension Inspection of Parts Processed by Machine Tools and Recording of Results](https://image.mono.ipros.com/public/product/image/c91/2001469611/IPROS17631359127016866041.png?w=280&h=280)
We will determine the quality of the parts' dimensions and record the results!
We received an inquiry from a representative of a manufacturer of pneumatic devices and control equipment who is considering changing the current visual inspection standards for the dimensional inspection of parts processed by work machines to data-based standards. They expressed a desire to keep a record of the product dimensions and provided sample images. 【Inspection Settings and Results】 We conducted a simple verification of inspections using both EasyInspector and DeepSky. Both were able to detect the dimensions. Our company can offer both the traditional rule-based inspection software "EasyInspector" (detection results are shown in the left image) and the AI (deep learning) based "DeepSky" (detection results are shown in the right image) as needed. For recording methods, there are options to save as SCV (Excel) and inspection images. 【Software Used】 Software used: EasyInspector, DeepSky
![[AI Image Inspection Case] Reading and Recording Text on Electronic Circuit Boards](https://image.mono.ipros.com/public/product/image/48a/2001474979/IPROS4045905230143715082.png?w=280&h=280)
We will conduct inspections of the reading of characters printed on the electronic circuit board and record the results!
The electronic component manufacturer that inquired this time was considering automating product management by recording the reading of characters printed on electronic components. Our inspection software includes basic functions for saving inspection results in CSV or image formats, which have been useful for product management across various industries. 【Inspection Settings and Results】 By using the "OCR Reading" feature of EasyInspector, it was possible to read 12 characters at one location. If you want to add the serial value to the file name of the recorded image, you need to create software that automatically renames the files or specify the file name using external control commands for image saving. 【Software Used】 Software Used: EasyInspector710 (formerly EasyInspector) The current 'EasyInspector2' RD (ReaDing) package can perform inspections with [OCR (Optical Character Recognition)] and [Machine Learning OCR].
![[AI Image Inspection Case] Monitoring of Manufacturing Machinery](https://image.mono.ipros.com/public/product/image/a47/2001481519/IPROS14997574167334648291.png?w=280&h=280)
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.
![[AI Image Inspection Case] Reading Printed Characters](https://image.mono.ipros.com/public/product/image/e8d/2001490638/IPROS1280388859134056238.png?w=280&h=280)
The AI image inspection software reads the text on the labels attached to cylindrical parts!
Manufacturers active in various fields, particularly in medical devices and welfare equipment, are considering our character recognition functionality. Reading the text on labels affixed to cylindrical parts is expected to be challenging, as the appearance of the characters may change depending on the angle. 【Inspection Settings and Results】 The inspection was conducted using the "OCR Pro" feature of the EasyInspector software. Four inspection frames were set, and a total of 32 characters were evaluated in 0.57 seconds. The left image shows the inspection frame, while the right image displays the detection frame after binarization. The evaluation was based on the provided photograph, but there are concerns about positioning due to the fact that the labels are applied by hand and the cylindrical shape of the parts. 【Software Used】 Software used: EasyInspector710 The current 'EasyInspector2' RD (ReaDing) package can perform inspections with [OCR (Character Recognition)] and [Machine Learning OCR].
![[AI Image Inspection Case] Inversion of Label Stickers](https://image.mono.ipros.com/public/product/image/ee8/2001501145/IPROS3894685476575589763.png?w=280&h=280)
We will inspect the labels on cardboard boxes using AI image inspection software!
The label sealed on the cardboard box containing the product is prone to accidents where it is shipped inverted, and this is one of the cases that has received numerous inquiries. This time, we assume the inspection will take place on a free roller after assembling the cardboard. 【Inspection Settings and Results】 We conducted a free evaluation using the software DeepSky, which utilizes AI (Deep Learning). We used a total of 40 images as training data, capturing the orientation and angle of the sample labels from varying distances with the camera. In the left diagram, the settings are divided into two categories: "OK" and "NG," where if there is even one "NG," it is considered a failure, and up to three "OK" labels are considered a pass. As shown in the right diagram, there were no misjudgments, and the determinations were made with high accuracy. When the judgments were favorable, many proceeded to try the demo unit on a free rental basis. 【Software and Equipment Used】 Software Used: DeepSky Field of View: 400 x 300mm Minimum Size of Inspection Target: 150mm Number of Inspection Points: 1 (label inversion) Camera Resolution: 1.3 million pixels Lens Focal Length: 6mm Distance Between Lens and Product: 900mm Lighting: Indoor fluorescent lights
