Last Updated： Aggregation Period:Nov 05, 2025～Dec 02, 2025
This ranking is based on the number of page views on our site.
Last Updated： Aggregation Period:Nov 05, 2025～Dec 02, 2025
This ranking is based on the number of page views on our site.
Last Updated： Aggregation Period:Nov 05, 2025～Dec 02, 2025
This ranking is based on the number of page views on our site.
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Perfect for replacing visual inspections! Support all the way to environmental setup!
We provide appearance inspection software utilizing AI image recognition technology. It is capable of inspecting a wide variety of items, including metal processed products, films, resin molded products, and printed materials. (Examples: scratches, foreign objects, chipping, color unevenness, missing characters, etc.)
Fully automated AI appearance inspection combining object detection and robotics.
This is an appearance inspection software that utilizes AI object detection technology. It is capable of inspecting the appearance of a wide variety of workpieces, including metal processed products, films, resin molded products, and printed materials. (Examples: scratches, foreign objects, chips, color unevenness, missing characters, etc.) By combining it with industrial robots, it achieves a reduction in manual visual inspections.
Achieve a high detection rate without the need for programming! Using AI, detect various defects (such as missing parts, installation errors, scratches, color differences, etc.) from the objects captured by the camera.
Utilizing AI technology, we achieve high precision in appearance inspection and quality inspection. ■ Unique high-performance AI algorithm Achieves a high defect detection rate with a small number of images. ■ No need for knowledge of complex programming. - Simply prepare photos and outline the inspection target and detection target. - By following the steps in the GUI, you can create a model of the cutting-edge AI program. Since complex programming is not required, customers can create and manage models themselves. ■ No need for hardware installation or maintenance management with cloud solutions. - No need for hardware installation or maintenance management. - Since models are created using the cloud, users do not need to prepare hardware such as PCs. (Note: Hardware will be required when using the created model.)
A case study of automating visual inspection in production lines for continuous materials such as extrusion molding, hoses, and cables!
Regarding the "black spots and foreign object inspection" of extruded products, would you consider switching from "visual inspection" to "automated inspection using cameras" on the production line? We would like to introduce an example where installing cameras and lighting at the exit of the molding machine enables visual inspection of extruded products. By conducting inspections immediately after molding, it becomes possible to respond quickly if there are any issues with the molding process. 【Features of this system】 ■ Automated inspection can be performed without the need to introduce separate lines or equipment for inspection. ■ Since inspections are conducted immediately after production, rapid responses are possible in case of defects. ■ By arranging cameras to surround the product, comprehensive inspection is possible. ■ The equipment can be modified depending on the inspection requirements. *First, we will verify whether the work you wish to inspect can be accommodated. *Detailed processing information, including the processing flow, is provided in the PDF.
A case study on the automation of visual inspection to detect missing components, variations in types, and printing defects on components on the substrate!
Shall we switch the inspection of the presence or absence of components on the electronic circuit board and printing inspection from "visual inspection" to "automated inspection using a camera"? We would like to introduce a practical example of the "iVision Robot," which operates as an inspection device by attaching an inspection system to a general-purpose XY stage moving device. By using a two-dimensional operating stage, it becomes possible to check the mounting status of the entire circuit board, which cannot be confirmed by a single camera. 【Features of this system】 - It can automatically inspect the presence or absence of components and installation errors on the entire circuit board. - It can accommodate different types by setting up specifications for various products. - It is also possible to simultaneously inspect the status of the circuit. *First, we will verify whether the work you wish to inspect is feasible. *Detailed processing information and processing flow are provided in the PDF.
An example of automated visual inspection that checks whether the surfaces of two stacked steel plates are parallel using a 3D sensor!
In the inspection of the parallelism of each surface of two stacked steel plates, would you consider switching from "manual measurement inspection" to "automated inspection using a 3D sensor"? We will introduce an inspection device that uses a scalar robot on a fixed frame to measure both surfaces of the two steel plates simultaneously. With the 3D sensor in operation, it becomes possible to measure the parallelism of the entire two steel plates by scanning each surface. 【Features of this system】 ■ Realization of a parallelism inspection device that is difficult to achieve visually by using a 3D sensor ■ Numerical representation of the parallelism for multiple components ■ The device can be modified based on the inspection requirements *First, we will verify whether the work you wish to inspect is feasible. *Detailed processing information and flow are included in the PDF.
A case study of automating visual inspection using AI to classify metal parts flowing on a conveyor!
In the inspection of metal parts with many similar features flowing on the conveyor, would you consider switching from "visual inspection" to "automated inspection using cameras"? By installing cameras and lighting on the existing conveyor and using AI for judgment, we can create a system that performs variety identification inspections during transport. While it is possible to distinguish specific varieties with conventional inspection equipment, this system utilizes AI to introduce diversity in judgment. 【Features of this system】 ■ Inspection can be conducted on the conveyor without creating a separate inspection system. ■ Realization of image processing inspection equipment using AI. ■ Since inspections are conducted on the line, it is possible to reduce inspection processes and personnel. ■ The equipment can be modified depending on the inspection content. *First, we will verify whether the work you wish to inspect is feasible. *Detailed processing information and flow are provided in the PDF.
A case of automated appearance inspection using XY robotic operation to continuously inspect the internal condition of blister-packaged pharmaceuticals and food products!
Inspection of the internal condition of blister-packaged drugs and food "Why not switch from visual inspection to automated inspection using cameras?" We will introduce a practical example of the "iVision Robot," which is equipped with a camera and lighting on a general-purpose XY stage moving device, allowing for inspection of arranged blister-packaged products sequentially. By using a two-dimensional operating stage, the camera moves over the arranged products, capturing images of the interiors of the blister-packaged products in sequence and conducting inspections. 【Features of this system】 ■ Realization of an inspection device that performs repetitive actions using a general-purpose tabletop robot ■ Mapping of defective areas is also possible ■ The device can be modified based on the inspection requirements *First, we will verify whether the work you wish to inspect is feasible. *Detailed processing information, including the processing flow, is provided in the PDF.
![[Data] Case Studies of Appearance Image Inspection](https://image.mono.ipros.com/public/product/image/1a6/2000395120/IPROS79916081570846414894.jpeg?w=280&h=280)
Numerous image inspection case studies using the AI general-purpose appearance inspection software "EasyInspector2" are featured!
This document presents case studies of image inspections using the AI general-purpose appearance inspection software "EasyInspector2." Customers from the automotive parts and electronic circuit board sectors make up half of our clientele, and we serve a wide range of industries, including assembly verification of equipment and inspection of minute dirt on products. [Featured Case Studies (Excerpt)] - Inspection of defects in circuit board patterns and silk printing - Inspection of the orientation of electronic components - Counting of parts and detection of different items - Inspection of scratches on uneven surfaces - Measurement of dimensions and angles of mechanical parts - Counting the number of sheets of paper - OCR reading and barcode scanning - Reading of laser engravings on IC components - Meter display reading - Inspection of scratches and dents on aluminum die-cast parts - Hair contamination in food - Detection of several types of chemicals - OCR for metal engravings and more. *For more details, please refer to the PDF document or feel free to contact us.
Image inspection becomes dramatically easier with AI (deep learning)!
"DeepSky" is an AI visual inspection software that is easy for on-site users to operate with its "all-in-one & simple operation" design. It incorporates object recognition and good product learning from various deep learning methods, and further researches models optimized for factory automation (FA) to create its lineup. Skylogic, which has provided and supported over 2,000 examples of image processing products for FA sites, designed it with a focus on the needs of the field. ~ Do you have any of the following requests or concerns on-site? ~ ■ I want to start utilizing AI on a small scale. ■ I am worried about the judgment accuracy of the current inspection machine. ■ There are limited people who can set up the inspection machine. ■ It is difficult to secure and train inspection personnel. ■ There is variability in accuracy and inspection standards. DeepSky can perform "image data collection → learning → judgment" with just one PC. AI image processing is different from traditional procedural (rule-based) image processing in that it is easy to set up and excels in judgment under complex and variable conditions. We offer sample verification and a web trial service, so please feel free to reach out to us.
![[AI Image Inspection Case] Detection of Dirt and Scratches on Metal Parts](https://image.mono.ipros.com/public/product/image/123/2000669378/IPROS02005936974709862407.png?w=280&h=280)
Detects defects such as scratches, dirt, and black spots on the equipment.
The manufacturer of specialized processing jigs for building materials that we are inquiring about this time is a company that has requested numerous verifications from us, specifically to detect defects such as dirt and scratches on their equipment. We conducted the verification using the inspection function of "DeepSky." This time, we were able to successfully distinguish the scratches, dirt, and black spots. The software allows for easy collection of image data, learning, and judgment using just one PC, and we offer a web trial service that allows for convenient testing of detection performance, as well as videos showcasing numerous detection examples. Even for inspection cases that you may have previously given up on, we encourage you to check our website. [Software Used] ■DeepSky *For more details, please refer to the PDF materials or feel free to contact us.
![[AI Image Inspection Case] Transparent Plastic Defects](https://image.mono.ipros.com/public/product/image/30b/2000669379/IPROS09154910826230777000.png?w=280&h=280)
We will introduce a case where verification was conducted using the inspection software "DeepSky" and "EasyInspector."
This is a request from a manufacturer that produces plastic molded products. They have a cap with a diameter of approximately 30mm and a height of about 8mm, but sometimes black spots (approximately 0.2mm in diameter) appear on the flat top. They would like to conduct an appearance inspection of this cap and inquired whether it is possible to detect these black spots through their website. We conducted verification using the inspection software "DeepSky" (which utilizes AI and deep learning) and "EasyInspector" (a traditional rule-based inspection software). In this case, it can be said that verifying with 'DeepSky' is smoother. This software can be easily operated in a manner similar to operating Windows software, which leads to many direct inquiries from end-users who are introducing image inspection for the first time. [Software Used] ■DeepSky ■EasyInspector (formerly EasyInspector) *For more details, please refer to the PDF document or feel free to contact us.
![[AI Image Inspection Case] Foreign Objects and Defects on Non-Woven Fabric Masks](https://image.mono.ipros.com/public/product/image/164/2001402023/IPROS50812371807987008330.png?w=280&h=280)
Detect foreign objects on products processed with patterned non-woven fabric and masks.
There are three main categories of inquiries we receive regarding non-woven fabric inspections. - Inspection in a roll-to-roll state - Inspection of non-woven fabric with printed patterns - Inspection of non-woven fabric processed into products like masks The systems used vary depending on each state. For example, inspections in a roll-to-roll state often utilize EasyInspector, while detecting foreign substances on products with printed patterns or processed into masks is a specialty of DeepSky. Processed products have irregularities and overlaps, which can lead to frequent false detections with standard binarization methods. However, deep learning can learn and detect features such as insects, hair, and debris, making it largely unaffected by the variations in product patterns and processing. Here, we will introduce detections made by DeepSky. - Foreign substances such as hair and debris (Images 1 and 2) - Defects such as wrinkles and tears (Images 3 and 4) In roll-to-roll inspections, a method that continuously monitors with a fixed camera while the product is moving is suitable. However, in cases like the masks that have been processed into individual products, considering automatic discharge, the following system can be utilized.
![[AI Image Inspection Case] Type Identification of Metal Coated Workpieces](https://image.mono.ipros.com/public/product/image/206/2001402034/IPROS31089609427168558532.png?w=280&h=280)
It is possible to make judgments using DeepSky's inspection features! It is applied to various inspections.
We received two samples of metal coatings for truck and automotive parts from a customer engaged in low-volume, high-variety production. They were experiencing issues with shipping different products due to multiple part numbers flowing through the same line. Here, we present a case study on how we conducted verification to distinguish between the two samples. Using DeepSky's inspection capabilities, we were able to make determinations. DeepSky is designed solely for inspection functions, and by integrating it with PLCs and socket communication, it can be applied to various inspections. We have made commands available for input and output, allowing customers to create their own software for free. Additionally, we can also undertake software development, but this will be a paid service. 【Software and Equipment Used (Excerpt)】 ■ Software Used: DeepSky ■ Field of View: Approximately 447×335mm ■ Minimum Size of Inspection Target: 5mm ■ Number of Inspection Points: 1 ■ Camera Resolution: 1.3 Megapixels *For more details, please refer to the related links or feel free to contact us.
![[AI Image Inspection Case] Meter Reading](https://image.mono.ipros.com/public/product/image/43d/2001402035/IPROS04380832560386695565.png?w=280&h=280)
The lamp can detect and determine the difference in color between when it is on and when it is off!
We would like to introduce a case that was inquired about by an industrial equipment system manufacturer with whom we have previously done business. When the red light is on, it triggers an alert; the panel meter sends an alert at 10% below the set value, and the analog meter has a system that triggers alerts based on their respective settings. They were considering a setup where a camera is connected via wired LAN to a computer, which in turn is connected to a Patlite to sound an alarm. By using the "Meter Reading" function of EasyInspector, we were able to make determinations at two locations in 0.35 seconds. 【Software Used】 ■EasyInspector The current 'EasyInspector2' control panel and ControlPanel package [Meter Display Reading] can be inspected with 'EasyMonitoring2'. *For more details, please refer to the related links or feel free to contact us.
