スカイロジック List of Products and Services

We would like to introduce Inaba Electric Industry's "Choco Stop Watcher mini" within the context of dashcam-like cameras. If an abnormality occurs that can be detected by the device's sensors, it can simply be input as a contact signal to the "Choco Stop Watcher mini" to record video. However, when the abnormality is due to "dirt" or "angle misalignment," it is often difficult for the sensors to detect the issue. Therefore, this time we tried to "detect abnormalities using image processing." When an object is placed at an incorrect angle, it is detected as an abnormality through image processing, and recorded by the "Choco Stop Watcher mini." For more details, please check the related links below. 【Set Examples】 ■ Image Processing Unit + Choco Stop Watcher mini ■ Multiple Choco Stop Watcher minis connected to a single PC *For more details, please refer to the PDF document or feel free to contact us.

We will introduce a proposal to detect forgotten parts flowing on the conveyor, smooth out the subsequent processes, and prevent the shipment of defective products. By applying a system where a buzzer sounds and stops the conveyor when an NG (non-conforming) item is detected, we can simultaneously inspect two types of forgotten nuts and screws. We will guide you on how to register settings using the specific image processing software "DeepSky," which stops the conveyor when an NG is detected and resumes operation once the NG is removed. For more details, please check the related links below. 【Tools and Equipment】 ■ PC: Mouse Computer/G-Tune, Core i9, 16GB RAM, RTX 2070 SUPER ■ Image Processing Software: Sky Logic/DeepSky DS100K ■ IO Unit: Sky Logic/EI-ITIO-T01 ■ 1.3 Megapixel Camera: Daheng/MER-133-54u3c ■ 12mm Lens: M1214-MP2 ■ Camera Stand (Aluminum Frame) *For more details, please refer to the PDF document or feel free to contact us.

In recent years, very strict quality control has been required, and even slight scratches on products are treated as defective. Therefore, it has become important to detect scratches more reliably. Our company proposes a low-cost system that sounds a buzzer when defective products are detected on the conveyor, stops the conveyor with a red light on the patrol light, and resumes operation once the defective products are removed. This is a very practical and easy-to-understand system, so please make use of it. [Materials and Components (Excerpt)] ■ Solid State Relay: AQA211VL ■ DC24V Adapter: Akizuki Electronics / GF18-US24075T ■ Outlet: Panasonic / WH2163KWP ■ Wooden Board: 300 x 200 x 12 ■ Buzzer: Akizuki Electronics / PB10-Z338R *For more details, please refer to the PDF document or feel free to contact us.

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.

We would like to introduce a case study of a simple verification of metal painted products for defects and liquid drips. Verification was conducted using DeepSky's inspection function, and detection was possible. As shown in the image, detection is taking place. The numbers represent the AI's confidence percentage, referred to as the number of recognition points. In DeepSky, you can set it to detect only those with a high number of recognition points as defects, or you can set it to display all items with a low number (anything that the AI perceives as somewhat similar to the defects it has learned). 【Software Used】 ■DeepSky *For more details, please refer to the related links or feel free to contact us.

We would like to introduce a case study on AI image inspection related to metal etching and circuit pattern printing. DeepSky can classify and detect defects. It can also provide the number and coordinates of each defect. In actual operations, DeepSky is used to perform continuous inspections as an aid to visual inspection, while also allowing for manual slow movement for visual checks or complete automation using an X-Y stage. 【Software and Equipment (Excerpt)】 ■ Software Used: DeepSky (Learning Version) ■ Field of View: 30×20 to 60×40 mm ■ Minimum Size of Inspection Target: 0.2 mm ■ Number of Inspection Points: Entire screen (assuming detection of approximately 1 to 100 defects) ■ Camera Resolution: 1.3 million pixels *For more details, please refer to the related links or feel free to contact us.

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.

This time, I would like to focus on the production of a mechanism called "string conveyor." Unlike a regular conveyor, a string conveyor transports products along a "line" rather than a "surface." Why do we go to the trouble of supporting products with a line? The advantages are: - It allows for inspection from both the top and bottom since it can be photographed from below. - By placing a backlight underneath, it enables photography using transmitted light. - By varying the speeds of the two strings, it can rotate the products. And so on. Production time: 1.5 days Material cost: 30,000 to 40,000 yen [How to make it] This time, there will be no cutting or gluing. The basic approach is to assemble the various parts that have been arranged using a screwdriver and hex wrench. *For more details, please refer to the related links or feel free to contact us.*

This is a request from a metal processing manufacturer to count the number of 7-meter long rods without positioning them. This time, the rods were unpainted, but they had a level of accuracy comparable to the previously tested white-painted rods. However, items with significantly different sizes or angles may be inaccurate due to lack of training. The left image shows the annotation, while the right image displays the detected work for counting as points. The strength of AI (deep learning) image inspection software over traditional rule-based image inspection software is its ability to perform inspections even with variations in brightness and imaging environments, such as outdoors. Inspection software can be beneficial across various industries and processes. At DeepSky, you can utilize advanced software that supports counting on conveyors. It is designed to allow counting through various operational methods. 【Software Used】 Deepsky

At the request of a precision machinery manufacturer, we assessed the fine defects on metal parts with oil contamination. They desired a highly accurate inspection of the oil-contaminated areas. For precision products, it is crucial to maintain high quality in order to gain customer trust. Our inspection software supports high-quality shipments. 【Inspection Settings and Results】 We conducted inspection verification on metal parts coated with oil, applying oil to the "shift correction" and "inspection" areas, which were thought to affect the inspection. We performed multiple intersection coordinate position measurement inspections and reported the results. In 10 consecutive inspections, the variation between the MAX and MIN values was 0.009. Three types of workpieces were inspected, yielding favorable judgment results. 【Software and Equipment Used】 Software Used: EasyInspector

Painted products can be considered as challenging work for capturing images of defects. Clearly identifying defective areas is a very important factor for image inspection. We will explore different lighting techniques for verification. 【Inspection Settings and Results】 The process of enclosing the areas we want to detect in rectangles, as shown in the image, is called annotation. In practice, it is necessary to capture and annotate as many defects as possible. The number of images required depends on the inspection, but we believe around 50 images are necessary. Given the size of the defects, we propose using two cameras (considering the inspection cycle, this means two systems). By training various patterns of defects in a software called DeepSky in advance, it becomes possible to detect unknown defects as well. 【Software Used】 DeepSky

We inspected die-cast products using a software called DeepSky, which utilizes AI (Deep Learning). By training the software on the areas we want to detect, it adjusts its own settings and learns to recognize them. This time, we are assuming an operation where all items on the conveyor are inspected using DeepSky. 【Inspection Settings and Results】 This inquiry also came directly from an end user. Since our company does not sell industrial equipment like conveyors, we ask customers to purchase through a vendor. The left image shows the annotation process, where we outline the defective parts we want to identify. The right image displays the detection frames of the inspection results. The numbers indicate the confidence percentage of the AI based on the number of recognition points. 【Software and Equipment Used】 Software used: DeepSky Field of view: Approximately 46×37 mm Minimum size of inspection target: 5 mm Number of inspection points: 1 Camera resolution: 1.3 million pixels Lens focal length: 50 mm + 5 mm close-up ring Distance between lens and product: Approximately 430 mm Lighting: Indoor fluorescent lights

The request from a manufacturer engaged in metal rolling concerns a defect known as "chatter marks," which are surface defects. Sample images have been provided. Chatter marks refer to the horizontal streaks that appear at regular intervals in the direction of movement when polishing. They are commonly seen in plate polishing and are considered a significant issue for businesses that perform plate polishing, such as those working with flat bars. [Inspection Settings and Results] By using the "Scratch and Defect Inspection" feature of EasyInspector, we were able to detect chatter in one location (the entire screen) in 0.16 seconds. The setting is configured not to detect "vertical stripes." Due to the significant variations in the reflection of the light source and overall brightness caused by the lighting, it is essential to ensure that the lighting conditions are consistent during actual inspection operations. [Software Used] Software Used: EasyInspector Current 'EasyInspector2' color package [Scratch and Defect Detection] can be used for inspection.

We received an inquiry about the dimensions of the steel column and the inspection of the C surface through our website, and subsequently, you sent us a sample product. Our company offers a "simple evaluation service" free of charge, conducted by our technical staff. If detection and judgment can be made during the simple evaluation, we recommend conducting a "feasibility verification" test that simulates actual operation, where evaluations of processing time and judgment accuracy are performed. Additionally, we offer a free loan of demo equipment, allowing users to experience the inspection software firsthand. [Inspection Settings and Results] By using EasyInspector's "Dimension Angle Inspection" function and "Master Image Comparison" function, we were able to inspect three locations in 1.37 seconds. This inquiry came from an end user, but since our company does not design machinery for manufacturing lines, we will find an industrial machinery manufacturer to build a system incorporating our inspection software.

This is a simple verification of the metal fittings of a car seat belt. Our company is located in Hamamatsu City, Shizuoka Prefecture. It is an active region for automotive parts manufacturing, and we have a track record of being adopted by over 2,000 industrial equipment manufacturers and manufacturers. We design inspection software that is easy to integrate and sold as a one-time purchase, and we have many repeat customers. 【Inspection Settings and Results】 By using the "Scratch Inspection" function of EasyInspector, we were able to inspect one location in 0.55 seconds. The image shows the imaging environment for this inspection. We verified all the sample products we received under the same lighting conditions and inspection settings. Among them, some defective products with scratches and some defective products with dacon could not be detected. Other sample products were able to detect the scratches and rust we wanted to identify.

This is a request for a simple verification of metal parts. Our inspection software is designed for easy integration and is sold as a one-time purchase, which has led to numerous inquiries from industrial machinery manufacturers and trading companies. 【Inspection Settings and Results】 We conducted verification of hole presence and hole diameter inspection using the sample we received. As a result, we were able to detect the presence of holes and make judgments. However, regarding the hole diameter inspection, under the current inspection conditions and environment, it was difficult to achieve the requested accuracy of approximately ±0.05mm, and stable judgments could not be made. Therefore, to conduct inspections at the above accuracy, it is necessary to consider alternative inspection methods, such as enlarging the measurement area for imaging and using multiple higher-resolution cameras. This time, we used the "Dimension and Angle Inspection" feature of EasyInspector.

This is an inspection of hinges (furniture hinges) made of SUS430 material, with a silver color and dimensions of 70×100 mm. The inspection is focused on determining any warping and the size of the pins, as requested by a general trading company for a simple verification. **Inspection Settings and Results** By using the "Dimension and Angle Inspection" feature of EasyInspector, we were able to inspect one location in 0.38 seconds. As a result of the simple verification, we have arranged for you to visit our company to see a demonstration. We ask that end users experience the demo unit firsthand, try out the setup methods and feel, before making a purchase. **Software and Equipment Used** Software Used: EasyInspector (formerly EasyInspector) Field of View: Approximately 67 x 53 mm Minimum Size of Inspection Target: 5 mm Number of Inspection Points: 1 Camera Resolution: 1.3 million pixels Lens Focal Length: 35 mm Distance Between Lens and Product: Approximately 380 mm Lighting: Ring lighting Distance from Lighting to Inspection Item: Illuminated from 50 mm above The current 'EasyInspector2' MS (MeaSure) package can perform inspections for [Position and Width Measurement] and [Angle Measurement].

By using EasyInspector's "Dimension and Angle Inspection" feature, we were able to determine the dimensions of two metal parts. The blue frame in the image indicates a passing inspection result. The NG item exceeded the preset standard value, resulting in a "Fail" judgment. The red frame indicates the failure display. The inspection cycle time was 0.85 seconds. 【Software Used】 Software: EasyInspector (formerly EasyInspector) Field of View: Approximately 433 x 317 mm Minimum Size of Inspection Target: 0.5 mm Number of Inspection Points: 2 Camera Resolution: 15 million pixels Lens Focal Length: 12 mm Distance Between Lens and Product: Approximately 380 mm Lighting: 2 linear fluorescent lights Distance Between Lighting and Inspection Item: Approximately 100 mm from above Currently, inspections can be performed with the 'EasyInspector2' MS (MeaSure) package for [Position and Width Measurement] and [Angle Measurement].

Home appliance sales and repair manufacturers are also operating inspections that incorporate our inspection software. This verification will serve as support. You inquired about the setup method. Customers who have implemented and are operating the system often contact us regarding imaging environments and setup methods, and in the case of new inspection items, we may proceed with thorough support similar to that for new customers, starting with simple verifications. 【Inspection Settings and Results】 By using the "Comparison with Master Image" feature of EasyInspector, we were able to detect the presence or absence of a tap in one location and determine visually similar imitation products (different items) in 0.19 seconds. 【Software Used】 Software Used: EasyInspector The current 'EasyInspector2' color package can be used for inspections with the "Comparison with Master Image" feature.

We received an inquiry about our inspection software from an air conditioning equipment manufacturer. At our company, we conduct daily verifications to contribute to the quality assurance of various customers. We offer a "simple evaluation service" free of charge by our technical staff, and if detection or judgment can be made through this simple evaluation, we recommend conducting a "feasibility verification" that simulates actual operation, where we verify processing time and judgment accuracy. 【Inspection Settings and Results】 By using the "Comparison with Master Image" function of EasyInspector, we were able to detect burrs at a single adhesive point. The left image is the master image. The setting screen specifies the inspection area with a good product image. The red box indicates misalignment correction. The pink frame is the setting frame for the inspection range. 【Software Used】 Software used: EasyInspector The current 'EasyInspector2' color package can perform inspections using the "Comparison with Master Image" feature.

This is a request from a manufacturer of superhard materials such as metals. They were considering automating the inspection process for spray defects, based on the current situation where the quality of the spray (product inspection) is visually confirmed through captured spray photos or overlays of those photos. 【Inspection Settings and Results】 By using the "Scratch and Defect Inspection" feature of EasyInspector, we were able to inspect one location in 0.49 seconds. The left image is the master image (settings screen). By specifying the pink circle, the inspection area can be set. The right image is the settings screen. 【Software Used】 Software used: EasyInspector The current 'EasyInspector2' color package can be used for [Scratch and Defect Detection] inspections.

In the automotive parts sector, particularly with mission parts manufacturers, we have previously conducted simple verifications of multiple samples for our valued customers. This time, we will measure the diameter of holes in metal components. 【Inspection Setup and Results】 By using the "Dimension and Angle Inspection" feature of EasyInspector, it was possible to measure the dimensions of two holes in just 0.5 seconds. We set it up to measure the distance from the center coordinates of each circle. By comparing the coordinates of the centers of each circle, we detected that they were within the specified value (29mm ± 0.4mm), resulting in a "Pass" judgment indicated by the blue enclosure in the image on the right. 【Software and Equipment Used】 Software Used: EasyInspector Field of View: Approximately 43 x 24mm Minimum Size of Inspection Target: 2mm Number of Inspection Points: 8 Camera Resolution: 1.3 Megapixels Lens Focal Length: 25mm Distance from Lens to Product: Approximately 530mm Lighting: Surface Emission Lighting Distance from Lighting to Inspection Item: Approximately 40mm The current 'EasyInspector2' MS (MeaSure) package allows for inspections of [Position and Width Measurement] and [Angle Measurement].

A metal processing manufacturer established during the Taisho era is achieving meticulous product management using our inspection software. 【Inspection Settings and Results】 By using the "Presence of Specified Color Inspection" feature of EasyInspector, we were able to detect excess material on a pin in one location and make a judgment in 0.09 seconds. In this inspection, when there is excess material on the pin, the image appears as if "the black ring is missing," so we set the criteria to determine pass or fail based on whether the amount of detected black falls below the standard value. When performing image processing under the same conditions, there was a difference in detection amounts between OK and NG products, allowing us to distinguish between the two states through image comparison. However, since the color judgment tolerance range was set somewhat strictly, there is a risk that detection may not be stable depending on conditions such as the brightness of the imaging environment. 【Software Used】 Software Used: EasyInspector Current 'EasyInspector2' color package can inspect for the "Presence of Specified Color."

The manufacturer, who is active mainly in industrial machine blades, seems to be interested in both DeepSky, which uses AI (deep learning), and the conventional rule-based EasyInspector, and has sent us sample products. This report is on the inspection conducted using EasyInspector. 【Inspection Settings and Results】 By using the "Comparison with Master Image" feature of EasyInspector, we were able to detect the difference in one hole and determine visually similar items (different products) in 1.64 seconds. The offset correction frames were placed on the corner part of the workpiece (red frame) and the hole part (light blue frame). In the image on the right, the white color of the pin appears in the shadowed area of the groove, and this part is detected as a difference and marked in red, resulting in a judgment of NG (not good).

We received feedback from an automobile manufacturer regarding issues with the left and right wheel pins being incorrectly installed. This time, we are considering an inspection method to distinguish between "R" and "L" before the parts are installed in the automobile products. The orientation of the bolt markings is inconsistent, and we are exploring the possibility of checking them while they are aligned on the parts feeder. 【Inspection Setup and Results】 By using the "Comparison with Master Image" feature of EasyInspector, we were able to determine the left and right bolts. We attempted to identify them using the R and L markings, but detection was not successful due to reflections. Therefore, in this verification, we reported that by inspecting the orientation of the threaded part of the bolt, we could successfully distinguish between the R and L bolts in a well-aligned situation on the parts feeder in 0.36 seconds.

We conducted a simple verification of the detection of scratches on metal parts. In our communication with the customer, we sometimes report both the traditional rule-based inspection software and the AI (deep learning)-based inspection software for their consideration of which is better. 【Inspection Settings and Results】 As a result of the verification using the samples provided, scratches on metal parts were detectable by using ring lighting. By utilizing the "Scratch Inspection" feature of EasyInspector, we were able to detect scratches in 0.34 seconds from one location (the entire screen). Adjustments to the settings are necessary for different diameters and lengths. DeepSky also achieved static detection in 0.3 seconds. The left image is an enlarged view of the detection area from EasyInspector. The right image is an enlarged view of the detection frame from DeepSky.

We have received a request for a system that can perform character verification (comparison inspection) of machine nameplates. This is from a trading company dealing with electronic measuring instruments, testing machines, and industrial equipment. [Inspection Settings and Results] As a result of verification conducted with the sample we received, we were able to make a judgment in 0.22 seconds using the 'Comparison with Master Image' feature of EasyInspector. The red dots and numbers in the image display the number of pixels around the detected areas. Since we can set parameters suitable for each case, such as printing errors or overall misalignment, it is possible to prevent excessive detection or under-detection. [Software and Equipment Used] Software used: EasyInspector710 (formerly EasyInspector) Field of view: Approximately 246 x 205 mm Minimum size of inspection target: 2 mm Number of inspection points: 8 Camera resolution: 5 million pixels Lens focal length: 8 mm Distance between lens and product: Approximately 310 mm Lighting: Two linear fluorescent lamps Distance between lighting and inspection item: About 100 mm diagonally above the workpiece Current 'EasyInspector2' color package can perform inspections with 'Comparison with Master Image'.

We have received sample products from a metal parts manufacturer with whom we have previously conducted business. This is a request for verification of the product dimensions. 【Inspection Setup and Results】 We would like to report the verification results of the dimensional measurements of the samples you sent. This time, we conducted the verification in two parts, assuming the use of two cameras, measuring one side at a time. By using backlight illumination, we were able to capture images that made edge detection easier, and using the "Dimension Angle Inspection" feature of EasyInspector, we set up 13 inspection frames and completed the inspection in 1.69 seconds. The green frame in the left image is an enlargement of the inspection frame set in the master image. The right image is an enlarged view of the screen displaying the inspection results.

This is the first inquiry from a specialized trading company dealing with aircraft and space equipment. The content was about searching for simple inspection equipment (including software). They seemed to be interested in our products for conducting shape inspections of relatively flat components, approximately 40 cm square. We are also able to accommodate inspection verification and demo units, and we have sent detailed materials as well. 【Inspection Setup and Results】 We conducted measurements on five types of samples that we received. By imaging the edges of the components with transmitted lighting and using the "Dimension Angle Inspection" function of EasyInspector, we were able to perform the inspections. The dimensions were converted based on the dimensions of the good products. The samples we have are typically discarded after two weeks. If you wish to have them returned, we kindly ask that you contact us by phone or email within one week after the report is sent.

The electronic components manufacturer has considered our character recognition for product management. Sample images have been sent. The inspection software called EasyInspector, which you inquired about, is used by customers in the automotive parts and electronic circuit board sectors, making up half of our clientele, and it is also utilized by a wide range of industries for tasks such as assembly verification and inspection of minute dirt on products. 【Inspection Settings and Results】 As shown in the red box in the left image, reading was possible with the EasyInspector "OCR" function in a well-lit environment. If the lighting conditions are improved to uniformly illuminate the entire area, it may be possible to read everything at once. In the current lighting environment, there were misreads with the standard OCR function, such as reading S as 3. However, it was possible to read using the OCR Pro function. 【Software Used】 Software used: EasyInspector710 (formerly EasyInspector) The current 'EasyInspector2' RD (ReaDing) package can perform inspections with 【OCR (character recognition)】 and 【machine learning OCR】.

This is an inquiry from an electronic component manufacturer primarily engaged in the production of printed circuit boards. They have requested a simple verification of metal etching processing. Inspection of fine defects can be conducted meticulously using enlarged images. Our company has contracts with agents in Malaysia and China, and sales are also possible. We have also received inquiries from Japanese manufacturers whose products are manufactured at overseas offices. 【Inspection Settings and Results】 Using EasyInspector's "Comparison with Master Image" function, we focused on the smallest defect among the 12 workpieces you sent. We divided the inspection frame into multiple sections and performed shift correction for each to minimize the detection of noise. However, the inspection time takes about 15 seconds. To shorten the inspection cycle, we suggest using multiple cameras or lowering the resolution. However, reducing the resolution may affect the detection capability (stability) of extremely small defects.

We received inquiries from material manufacturers as well. This is a simple verification based on the images provided. Our inspection software is used by a wide range of customers for inspecting minute dirt on products. 【Inspection Settings and Results】 We conducted the inspection using the EasyInspector "Scratch and Defect Inspection" function, but it also detected some dark black areas from rubbing. If we could illuminate the area we want to detect from a diagonal angle and make it physically easier to see, it is likely that detection would be more stable. If sending sample products is difficult, you can download EasyInspector from our website to experience the scratch detection inspection firsthand. Additionally, we offer a demo unit rental service, so equipment such as cameras and lenses can also be rented. 【Software Used】 Software used: EasyInspector710 (formerly EasyInspector) You can conduct inspections with the current 'EasyInspector2' color package for [Scratch and Defect Detection].

This is an inquiry about the setup method for measuring the distance between the centers of two circles. The inspection software "EasyInspector" that you inquired about is a user-friendly, general-purpose image inspection/image recognition software that can utilize low-cost USB cameras. You only need to install the software and connect a commercially available webcam. You can easily build an inspection system for under 100,000 yen. With over 1,000 successful implementations, it is used in various fields such as electrical, electronics, machinery, and assembly. 【Inspection Settings and Results】 By using the "Dimension Angle Inspection" function of EasyInspector, we were able to measure the distance between the center of one hole and another. The inspection was possible by setting two inspection frames, left → Inspection Frame 1 and right → Inspection Frame 2, over the holes and measuring the difference. This inspection is also a support for customers who are already operating our inspection software regarding the setup method. 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.

Manufacturers active in various fields, particularly in medical and welfare equipment, are considering our character recognition functionality. Reading the characters on labels attached 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 software EasyInspector's "OCR Pro" was able to make a determination. 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 shows the detection frame after binarization. The determination was based on the provided photos, but there are concerns about positioning due to the fact that they are manually applied by hand and the cylindrical shape. 【Software Used】 Software used: EasyInspector710 (formerly EasyInspector) The current 'EasyInspector2' RD (ReaDing) package can perform inspections with [OCR (character recognition)] and [machine learning OCR].

The image inspection software "EasyInspector" allows for various inspections. 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. 【Inspection Settings and Results】 Based on the verification conducted with the samples we received, it was possible to detect abnormalities by using EasyInspector's "Comparison with Master Image" feature and "BAR/QR/OCR" function, while ensuring that the nameplate was not warped and by setting some masks. Our company is located in Hamamatsu City, Shizuoka Prefecture, where the manufacturing industry, including automotive parts, is thriving. We have a track record of providing support for over 2,000 cases and have developed inspection software that is easy to integrate and sold as a one-time purchase.

This is a request from a manufacturer of automatic packaging machines and medical device system design. Our company, SkyLogic, has over 2,000 examples of image inspection achievements. We have numerous inspection cases published, including metals, plastics, food, electronic circuit boards, and pharmaceuticals, so please check our website's case search tool to see if there are similar cases to the inspection you are considering. 【Inspection Settings and Results】 By using the "Comparison with Master Image" function of EasyInspector, we were able to detect the presence or absence of holes in two locations and differences in their positions, allowing us to determine visually similar look-alikes (different items) in 0.03 seconds. If inspections are to be conducted in a disorganized orientation, operations with another software called DeepSky can also be considered. This was a simple verification based on the images provided. 【Software Used】 Software used: EasyInspector710 Current 'EasyInspector2' color package can be used for inspections with the "Comparison with Master Image" feature.

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 a 60-day free trial of EasyInspector and try out DeepSky's web version. Please check it out. 【Inspection Settings and Results】 We submitted the results of using 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. In the web trial version of DeepSky, you can only test finding what you have been taught. 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 Version Number of inspection points: 1 location, finding defects from the entire screen.

There are two requests: to detect and identify burrs in a hole (with a hole diameter of 2mm) and to determine the misalignment of a part with text centered on a 50mm square plate. This inquiry came from a manufacturer of air conditioning equipment considering an automatic inspection system. 【Inspection Settings and Results】 By using the EasyInspector "Presence of Specified Color Inspection" function, we were able to detect the differences in the two holes and determine the misalignment in 1.49 seconds. We introduced a 30-day trial service available for download from our website, allowing them to try it out and provided guidance on the setup method. We suggested changing the "Correction Position" (red frame and light blue frame), the values for "Color Judgment Tolerance Range," and the "Pass/Fail Criteria Value" to "Both." Additionally, we noted that there are areas where misjudgment may occur due to uneven brightness (the edges appear darker). We advised them to reconsider the position and brightness of the lighting.

We received samples from customers who attended the exhibition. The aluminum processing manufacturer was struggling with the presence of defects and oil contamination on the workpieces. In light of recent circumstances, such as the aging of skilled workers and the spread of the novel coronavirus, there has been a significant movement towards improving operational efficiency to address the lack of people gathering in factories and to realize work style reforms. Our company has been receiving inquiries from various client companies, and it seems that this trend is accelerating. We hope that our image inspection can contribute to your efficiency. [Inspection Settings and Results] Using "DeepSky," we were able to detect "defects" and "scratches." However, inspecting only one side does not allow for a comprehensive examination of all surfaces, so we reported a method for conducting inspections while moving the inspected items (changing the position of the lighting) in an easy-to-understand video. The left image shows the setup work for annotation, which outlines the defects we want to find, and the right image shows the detection frame.

The precision sheet metal processing manufacturer was experiencing issues with short shots and gate cut defects, and they inquired whether it was possible to perform automatic inspection of the defective areas. Our inspection software is easy to integrate into systems and can be operated simply like Windows, which has led to numerous inquiries not only from industrial machinery manufacturers but also directly from users. [Inspection Settings and Results] We have reported the results of the verification conducted on the samples we received. By using EasyInspector's "Color Comparison Inspection," we were able to detect differences from the master image (good product), identifying eight locations of short shots and gate cut defects in 2.79 seconds. The extent of misalignment and the method of frame installation can affect the results, but in this case, we performed separate misalignment corrections for four different workpieces, which took more time, resulting in an inspection time of about 2 seconds per instance. For operation, we will consider a conveyor with backlighting. The red display in the images indicates "Fail," while the blue display indicates "Pass" in the inspection results.

There have been numerous inquiries regarding substrate inspections, and a considerable number of customers are already utilizing our services. This inquiry comes from a harness manufacturer that is active in cutting-edge wiring technology. In visual inspections conducted by workers, there is often variability in the criteria for determining "good" and "defective" products among inspectors. The more ambiguous the judgment criteria are, the more inconsistent the inspection results tend to be. We propose stable and efficient production through image inspection. 【Inspection Settings and Results】 By using EasyInspector's "comparison with master images" feature, we were able to detect differences in the positions of defects and identify similar-looking items (different products) with red eyes. The inspection time was approximately 3 seconds. We believe that inspections are relatively easy if the lighting environment is stable. The rule-based traditional image inspection software used this time and the AI (deep learning) image inspection software each have their own strengths and weaknesses. Please contact us to determine which inspection method is more suitable.

This is an inquiry from an industrial equipment manufacturer with whom we have previously done business. EasyInspector can be used for various parts and defects, but the accuracy of detection can vary depending on the settings. Although it is a one-time purchase inspection software, we will continue to provide support after implementation. 【Inspection Settings and Results】 Regarding the method of inspection using "color presence inspection," in this case of the reverse image, it is likely that detection was possible because it happened to be slightly elevated. Therefore, we would like to put the inspection method for "color presence inspection" on hold and ask you to consider the inspection method using "dimensional angle inspection." Even in the case of "dimensional angle inspection," if the position of the inspection item is elevated (upward on the screen), it may not detect the correct angle. An effective method is to add another inspection frame, set up color inspection and other settings there, and check whether the inspection item is not elevated too much.

This is an inquiry from a customer who is contacting us for the first time regarding the detection of irregular shapes such as elongated holes and round holes due to deformation or foreign material adhesion in metal parts with hole diameters ranging from φ2.0 to 6.5mm. The target products are between L70 and 200mm. Upon further discussion, it was revealed that the purpose was to detect burrs in the holes. They have sent us samples for a simple verification. 【Inspection Setup and Results】 We captured images of the surface where burrs occur (the surface marked with a marker) facing the camera. It is desirable to set up the inspection surface parallel to the camera sensor. While the software has a function to correct misalignment, we believe that fixing the workpiece with an L-shaped jig or similar will allow for more accurate inspections.

This is a specific consultation regarding the operation after a simple verification from a manufacturer of precision processed products such as automotive parts. We will create a setup to detect the blurred areas of a washer through image processing. In the free sample evaluation, we will first conduct a simple verification using the samples or images provided and report the verification results. During the simple verification, we will evaluate whether the desired detection/judgment is possible using our in-house equipment. If detection or judgment is successful in the simple verification, we recommend conducting a test (feasibility verification) assuming actual operation, where we will evaluate processing time and judgment accuracy. If feasibility verification is to be conducted, you can choose to continue with our company (for a fee) or verify using our loaned equipment at your company. [Inspection Setup and Results] Upon verification with the samples provided, it was possible to distinguish the presence or absence of blur. Taking images slightly diagonally rather than directly from the side showed better differences in appearance due to the presence of blur. We used 13 images as training data, framed the areas we wanted to inspect, and labeled all relevant areas of each image as "Blur Present" or "No Blur." We executed approximately 500 steps of learning and set it up so that it would be marked as a failure when a "No Blur" label was found.

This is a simple verification using sample images at the request of an industrial machinery manufacturer. When introducing image inspection, the shooting environment for the inspection area becomes very important. Recently, there have been many cases where it is difficult to send sample products due to compliance and security reasons. While we can accept verification through image submission, there may be instances where we cannot provide guidance for a better imaging environment. In such cases, we may suggest creating a model in-house to conduct the verification, even though the texture of the sample may change. 【Inspection Settings and Results】 When learning with defective images that have significant differences compared to good products as training data, it was possible to detect those with large differences as defects. However, there were some cases where it was difficult to detect those with small differences. Regarding image acquisition, we determined that detection would be difficult if imaging was performed at a free distance for the current inspection item. If the imaging environment is adjusted so that the rivet appears in the center of the image at the same size, there is a possibility that detection accuracy could improve. 【Software Used】 Software used: DeepSky