スカイロジック List of Products and Services

The company responsible for the energy-saving and new energy support department of the group company is experiencing issues with water leaks from the mechanical seal section of their pumps, and they reached out for consultation through our website. Our website offers trial versions of the image inspection software "EasyInspector," "EasyMonitoring," and "DeepSky." We encourage you to try them out to help resolve your issues. [Inspection Settings and Results] We imported the images you provided into our image inspection software and conducted an inspection. If the water droplet appears white against a black background, it should be easier to detect. However, if the surrounding environment is bright and the water droplet becomes transparent, it may become difficult to detect the transparent areas. We used the "Presence of Specified Color Inspection" feature in EasyInspector to detect and evaluate the glowing parts of the water droplets. It seems that operation with "EasyMonitoring" is also possible; this software can send notifications (with images) to your smartphone via email.

• Image Processing Software

In a manufacturer contributing to society through various data analyses, our inspection equipment from Company 7 is also utilized for meter readings. This pertains to a project involving the reading of a 7-segment display installed in a distribution board. 【Inspection Settings and Results】 By using the "Meter Reading" function of EasyInspector, it was possible to read the numbers displayed on two distribution boards. The image that is enlarged allows for the reading itself to be feasible. However, the image showing the entire view lacks sufficient quality for reading. Even in the readable image, the color is marginal, and I believe that with slight adjustments to the brightness, more stable readings could be achieved. 【Software Used】 Software used: EasyInspector710 The current 'EasyInspector2' CP (Control Panel) package can inspect the digital 7-segment display reading.

• Image Processing Software

This is a request for consultation on "remote reading" of meters from a company engaged in improving water quality and ground conditions through numerical analysis. Since imaging conditions outdoors can be unstable due to factors like time of day and weather, it is crucial to establish a stable imaging environment. 【Inspection Settings and Results】 By using EasyInspector's "meter reading" function, we were able to determine two locations. In the left image, we were able to read the values, but it is necessary to verify what results will occur when the image points to values other than "2" or "8," or when the shape of the contents changes. The right image has a reading function for a rod-shaped meter, but in this case, the color difference is not very clear, resulting in a stringent setting value. If the brightness changes slightly, it is likely that the reading location will change. With some adjustments to the lighting, we might be able to relax the conditions a bit more.

• Image Processing Software

The manufacturer of FA machine systems for automotive parts contacted us through their website regarding the inspection of scratches on the tapered part of a flare fitting. They sent a sample, and we provided a report based on a simple inspection. 【Inspection Settings and Results】 By using the "Scratch Detection" feature of EasyInspector, we were able to detect a scratch on one flare fitting. The scratches on the flare fitting were detectable using ring lighting. In the left image, only one scratch was detected, and it was judged as a failure in 0.34 seconds. Adjustments to the settings are necessary for differences in diameter and length. 【Software and Equipment Used】 Software Used: EasyInspector710 Field of View: Approximately 52 x 41mm Minimum Size of Inspection Target: 1mm Number of Inspection Points: 1 Camera Resolution: 1.3 Megapixels Lens Focal Length: 25mm Distance Between Lens and Product: Approximately 215mm Lighting: Ring Lighting Distance Between Lighting and Inspection Item: 50mm above Current inspections can be performed with the 'EasyInspector2' color package for scratch and defect detection.

• Image Processing Software

The industrial equipment and machinery manufacturer you inquired about has requested multiple simple verifications in the past. This time, the contact is regarding consultation on inspection methods for scratches that occur on the side walls. However, detecting "scratches" is not a must for the ongoing inspection, and they are looking for technical cooperation on how the inspection can be conducted. 【Inspection Setup and Results】 By using the "Scratch Detection" feature of EasyInspector, we were able to determine a scratch in less than one second at a single location. If the scratch is captured well from the top view, there is a possibility of detection using the scratch detection feature. We receive numerous inquiries from industrial equipment manufacturers, and we offer explanations on usage and demonstrations during web meetings or visits involving end users at no charge. 【Software Used】 Software Used: EasyInspector710 The current 'EasyInspector2' color package can be used for scratch and defect detection.

• Image Processing Software

We received an inquiry from a manufacturer regarding plastic processed products. If you can send us sample products, we will conduct an inspection feasibility verification at our company. After that, you will verify it with a demo machine at your company and make a judgment on the inspection feasibility. If you can send us the sample products, we will send you an evaluation request form, so we ask for your consideration. 【Inspection Settings and Results】 In inspections that can be detected using the "Comparison with Master Image" function of EasyInspector, fixed positioning is essential. Therefore, using the live or overlay function with inspection results makes it easier to identify misalignments and facilitates placing the workpiece in the correct position. The image on the right shows the settings for inspecting while overlaying the master image and the live image. 【Software Used】 Software Used: EasyInspector710 The current 'EasyInspector2' color package can perform inspections using the "Comparison with Master Image" feature.

• Image Processing Software

At the equipment cleaning company, counting the culture chips and confirming their presence or absence had become a hassle. You were considering image inspection to solve this issue and contacted our company. 【Inspection Setup and Results】 We conducted verification of pass/fail judgment based on the presence or absence of parts and counting using the samples you provided. By installing backlighting on the rear side, we were able to emphasize the target parts for imaging and detection. Since parts near the outer edge can appear differently at an angle, we used a 25mm lens to capture images from as high a position as possible (ensuring the entire tray is visible in the field of view). Using EasyInspector's "presence or absence of specified color" and "detection size judgment function," we counted the parts (rings) of the target size to determine pass/fail based on quantity.

• Image Processing Software

We received a request for dimensional verification inspections from manufacturers handling various industries and products. This is an interim report on "feasibility verification." Our company provides various products and services for "cost-effectiveness" in manufacturing settings. Please feel free to share your company's challenges and themes with us. 【Inspection Settings and Results】 We took images of the sample products and measured their dimensions. We are reporting the logs of 10 measurements of the same item. The error when repeatedly inspecting the same item was approximately 0.0013mm. Regarding the measurement points, we currently measure the areas where the frame is applied in relation to the placed state. It is not possible to identify long/short or thick/thin areas from the image directly; however, it is feasible to measure one full rotation while rotating the image in increments and then adopt the maximum and minimum values from those measurements, but this would require the development of additional software. The image on the right is an enlarged view. 【Software Used】 Software used: EasyInspector

• Image Processing Software

The road management company you contacted is using the 60-day trial service of EasyInspector, which can be downloaded from our company website. There were inquiries about the setup method and detection method. 【Inspection Settings and Results】 By using the "OCR Pro" feature of EasyInspector, we were able to make a judgment in 0.25 seconds for one location. After processing the images we received, we were able to read all of them to some extent, but there are parts where we had to forcefully read using certain settings. As seen in one of the images provided, if the last digit is not fully visible, the reading becomes unstable. To ensure stable readings, it seems necessary to enlarge the numbers a bit more. 【Software Used】 Software used: EasyInspector Currently, inspections can be performed with the 'EasyInspector2' RD (ReaDing) package [OCR (Optical Character Recognition)] [Machine Learning OCR].

• Image Processing Software

The inspection checks whether the hood rubber is attached, whether the ept is affixed, the detection of the hose, the presence or absence of felt attachment, and whether the clip is installed. 【Inspection Settings and Results】 For inspection frames 1 to 15, we used EasyInspector's "Color Comparison Inspection" function to set pass or fail criteria, and for inspection frame 16, we set a "Dimension Angle Inspection" to detect the clip line, allowing all inspections to be judged in under one second at once. We tested multiple items: in inspection frames 1, 2, 3, and 4, we checked whether the hood rubber is attached; in frames 5, 6, 7, 10, and 11, we checked whether the ept is affixed; in frames 8 and 9, we checked for hose detection; in frames 12, 13, 14, and 15, we checked for the presence or absence of felt attachment; and in frame 16, we checked whether the clip is installed.

• Image Processing Software

There was a request to photograph products arranged on a pallet. You were looking for inspection software that could be generalized to other parts by exchanging the arranged pallets. 【Inspection Settings and Results】 By using EasyInspector's "Color Comparison Inspection and Presence of Specified Color Inspection" function, it was possible to determine in less than 0.57 seconds whether the rubber parts of 25 products arranged in the pallet during shipping packaging were correctly implemented.

• Image Processing Software

Dimensions are an important issue in various precision products. At EasyInspector, we allow input of dimension conversion values, and by registering enlarged images of good products as a master and entering the actual dimensions, it becomes easy to determine items outside the set range as defective. 【Inspection Settings and Results】 By using EasyInspector's "Dimension Angle Inspection" feature, we were able to set three types of measurement methods for inspecting the largest outer circle: "Left-Right Width - Front Point Circle is White," "Right-Back Point / Left-Back Point - Calculate and judge the difference in already measured dimensions and angles," and "Left-Right Width - Front Point Circle is Black," allowing for judgment in less than one second. 【Software and Equipment Used】 Software Used: EasyInspector310 Field of View: 200 x 210mm Minimum Size of Inspection Target: 15mm Number of Inspection Points: 3 Camera Resolution: 10 million pixels Lens Focal Length: 25mm Distance Between Lens and Product: 600mm Lighting: Thin Ring Lighting (Indoor lights turned off)

• Image Processing Software

One image was OK and one was NG; I sent an email and received a free evaluation. 【Inspection Settings and Results】 By using EasyInspector's "Presence of Specified Color Inspection" function, we were able to determine the presence of a filter in one location in 0.31 seconds. 【Software Used】 Software Used: EasyInspector310 Number of Inspection Locations: 1 The current 'EasyInspector2' color package can inspect for the "Presence of Specified Color."

• Image Processing Software

EasyInspector specializes in inspecting the presence or absence of parts and positional checks for resin products, with numerous case studies available. It helps prevent careless mistakes in assembly defects. 【Inspection Settings and Results】 We were able to detect the presence of assembly and assembly positions as expected. We propose displaying both the front and back inspection results on a single monitor, allowing simultaneous confirmation of the front inspection results at 0.76 seconds for 11 inspection frames and the back inspection results at 0.60 seconds for the same 11 inspection frames. We have many case studies regarding operational methods, so please feel free to consult us. 【Software and Equipment Used】 Software Used: EasyInspector310 Field of View: 4000 x 3000mm Minimum Size of Inspection Target: 2mm Number of Inspection Points: 22 Camera Resolution: Upper 1.3 million pixels, Lower 1.3 million pixels WEB camera Lens Focal Length: Upper 8mm, Lower none Distance Between Lens and Product: Upper 650mm, Lower 300mm Lighting: Fluorescent lights (approximately 500mm in length) were placed 400mm apart for both upper and lower.

• Image Processing Software

This is a verification of the bush insertion point at the request of the trading company. The inquiry is whether it is possible to simultaneously inspect the front and back of the bushing and the bushing with height differences. 【Inspection Settings and Results】 By using the "Comparison with Master Image" feature of EasyInspector, we were able to display the inspection results for the presence of two bushings and reverse insertion of the bushing in 0.25 seconds. The inspection item was set to be positioned halfway on the screen, assuming that the same item would be installed on the opposite side. 【Software and Equipment Used】 Software Used: EasyInspector710 Field of View: 1000 x 1500mm Minimum Size of Inspection Target: 2mm Number of Inspection Points: 2 Camera Resolution: 3 million pixels Lens Focal Length: 12mm Distance Between Lens and Product: 750mm Lighting: Indoor lighting The current 'EasyInspector2' color package can be used for inspection with the "Comparison with Master Image" feature.

• Image Processing Software

When inspecting the textured surfaces of plastic parts from an automotive parts manufacturer, it is common for burrs to appear. However, it has been difficult to distinguish between the textured surface and burrs under 0.5mm, which has led to the shipment of defective products. To detect small discrepancies, we considered implementing image processing software. 【Inspection Settings and Results】 We used the "Dimension Angle Inspection" feature of EasyInspector along with backlight illumination. By using backlight illumination, we were able to clearly capture the contours of the object. We then set up the "Dimension Angle Inspection" to detect the boundary between bright and dark areas. If the values exceed those of the normal parts, a failure judgment is made, allowing us to detect burrs of 0.5mm.

• Image Processing Software

There were instances of defective products being shipped due to foreign objects and short shots in products molded by a plastic injection molding machine. 【Inspection Settings and Results】 Four donut-shaped plastic molded products were placed within the field of view. Using the "Scratch and Defect Inspection" feature of EasyInspector, we set it to fail if a white defect was found among black objects. Although the background was white, we were able to detect white defects from within the objects by applying a mask using the non-detection pixel settings. 【Software and Equipment Used】 Software Used: EasyInspector310 Field of View: 55mm x 73mm Minimum Size of Inspection Target: 1mm Number of Inspection Points: 4 Camera Resolution: 1.3 Megapixels Lens Focal Length: 12mm Distance from Lens to Product: Approximately 500mm The current 'EasyInspector2' color package can be used for [Scratch and Defect Detection] inspections.

• Image Processing Software

A resin molded product manufactured by an automotive manufacturer. We received an inquiry from our company with the aim of detecting 0.3 mm² size contaminants through image processing to improve work efficiency. 【Inspection Settings and Results】 Using the "Scratch and Flaw Inspection" function of EasyInspector, we set it up to detect 0.3 mm² size contaminants. The color of the flaws was set to black, and the detection was configured to identify darker colors compared to the surrounding pixels. The detection sensitivity was set to 3, as a lower number indicates better sensitivity; however, due to the small size of the target contaminants, even hair and dust were judged as foreign substances. As part of the operation, we proposed detecting contaminants and hair as NG (non-conforming) through image inspection, followed by a visual confirmation of the NG items.

• Image Processing Software

When shipping products from a resin processing manufacturer, there may be cases where all products must be packed in partitioned cardboard boxes. Since workers manually pack each box one by one, there have been instances where defective shipments were made due to insufficient product quantities. As a solution, we chose to verify the presence of products using image processing. 【Inspection Settings and Results】 Using the "Specified Color Presence Inspection" feature of EasyInspector's "Color Comparison Inspection," we inspected the presence of 30 products inside a box approximately 600mm x 400mm in size. The inspection was set up so that if the product's color was detected from the inspection frame, it would pass; if not, it would fail. 【Software and Equipment Used】 Software Used: EasyInspector310 Field of View: 400mm x 600mm Minimum Size of Inspection Target: Approximately 35mm x 150mm Number of Inspection Points: 30 Camera Resolution: Not applicable for images Current inspections can be performed with the 'EasyInspector2' color package for "Specified Color Presence."

• Image Processing Software

An accident occurred during the process of inserting similar buttons on the keyboard. This is a project for a major business reform at the request of the production line system manufacturer. We conducted a judgment test after receiving photos via email. 【Inspection Settings and Results】 By using the "Comparison with Master Image" feature of EasyInspector, we were able to detect positional differences and printing misalignments of six buttons, and we could identify visually similar items (different products) like "U" and "V" in less than three seconds. 【Software Used】 Software Used: EasyInspector310 Number of Inspection Points: 6 The current 'EasyInspector2' color package can be used for inspection with the "Comparison with Master Image" feature.

• Image Processing Software

Automotive parts and other resin-molded components may have variations in the presence or absence of holes and their positions due to differences in specifications. However, in the case of similar products, accidents have occurred where similar but different items were shipped because they looked almost identical. Our company is located in Hamamatsu City, Shizuoka Prefecture, an area with many automotive manufacturers, so we have the impression that most of our customers are in the automotive parts manufacturing industry. 【Inspection Settings and Results】 By using EasyInspector's "Color Comparison Inspection" feature, we were able to detect the presence or absence of holes, their positions, and color differences in 10 locations, and determine similar-looking items (different products) in less than 3.32 seconds. We were able to inspect 5 plastic pins (green), 2 plastic pins (white), 1 urethane tape, 1 metal pin, and 1 urethane resin in a single shot and inspection.

• Image Processing Software

Our image inspection software is used by tool manufacturing companies. We manufacture specialized tools that support various lifelines such as electricity, gas, water, telecommunications, railways, and defense, as well as products that support people's lives in various ways, and our inspection software is utilized in that process. 【Inspection Settings and Results】 By using the "Scratch and Defect Inspection" feature of EasyInspector, we were able to detect the presence and positional differences of 13 holes, as well as the presence of markings, and determine visually similar counterfeit products (different items) in 0.53 seconds. 【Software and Equipment Used】 Software Used: EasyInspector710 Field of View: Approximately 610 x 410mm Minimum Size of Inspection Target: 5mm Number of Inspection Points: 13 Camera Resolution: 3 million pixels Lens Focal Length: 6mm Distance from Lens to Product: 780mm Lighting: Linear Fluorescent Lamp Distance from Lighting to Inspection Item: Approximately 400mm Current inspections can be performed with the 'EasyInspector2' color package for [Scratch and Defect Detection].

• Image Processing Software

The engines for motorcycles and automobiles produced by the machinery manufacturer, along with the parts implemented in them (this time it was the cover panel), require advanced technology. To emphasize the development of human resources and the improvement of technology, we recommend automating the simplified visual inspection. 【Inspection Settings and Results】 By using the "Dimension Angle Inspection" feature of EasyInspector, we were able to detect dimensional differences in two locations and determine visually similar items (different products) in 0.75 seconds. A free trial version of EasyInspector is available on our company's download page. You can also use images taken with your smartphone. Please give it a try. 【Software Used】 Software Used: EasyInspector710 Number of Inspection Points: 2 The current 'EasyInspector2' MS (MeaSure) package can inspect using [Position and Width Measurement] and [Angle Measurement].

• Image Processing Software

Automotive parts such as resin-molded components require higher quality interior parts as the luxury of the vehicle increases. This inquiry is about automating the inspection of small "dents, thread scratches, and chips" on interior painted parts. 【Inspection Setup and Results】 Using DeepSky's inspection capabilities, we were able to determine "dents, thread scratches, and chips" on resin-painted products. To achieve high precision in the inspection, we wanted to capture defective areas in larger images, so we evaluated them by magnifying the display. To shorten inspection time, we are proposing an inspection environment where multiple cameras inspect simultaneously on a conveyor. The left image is the "training image" for the defects, and the right image is the "detection frame."

• Image Processing Software

Automotive parts and other resin-molded interior painted products often have a glossy and elegant finish. We are considering our inspection software to stably produce higher quality products. 【Inspection Settings and Results】 We were able to detect black specks of about 0.2 mm within the black glossy paint. To capture fine defects, we proposed using multiple cameras with a method that slowly conveys the items for magnified imaging. In this evaluation, lighting was a significant factor. We conducted the inspection using software that employs AI (Deep Learning). Traditionally, image inspection has been difficult for glossy or mirror-finished products with conventional inspection software, but with innovative lighting and DeepSky, easy setup for inspection has become possible.

• Image Processing Software

Automotive parts and other resin-molded components can vary in availability and position due to differences in specifications. However, in the case of similar products, accidents have occurred where similar but incorrect items were shipped because they looked almost identical. In previous image inspections, it was considered difficult to detect the presence or absence of black clips on black workpieces, as in the current inquiry. 【Inspection Settings and Results】 We conducted inspections using a software called DeepSky, which utilizes AI (Deep Learning). By training the software on the areas we wanted to detect, it adjusts its own setting parameters and learns to recognize them. The left image shows the detection of the installation of a black clip, while the right image correctly determines that the black clip is not installed. 【Software Used】 Software Used: DeepSky Learning Version Number of Inspection Points: 6

• Image Processing Software

We received an inquiry from a sensing equipment manufacturer regarding burr detection. It seems that as long as we can capture images where the contours of the workpiece are clearly visible, detection itself should be possible, and the key point will be how to create that environment. We have received various consultations regarding burrs from different industries, and many customers have found our inspection software helpful for achieving more stable product shipments. [Inspection Settings and Results] As shown in the image, we are detecting burrs with high accuracy. The teacher images used for this verification consisted of 120 images. This was created by capturing 10 images of good and defective products and rotating each image by 30° for a total of 12 times. As a simple operational method, we reported that the parts are guided from the parts feeder to the backlight conveyor, where they are inspected one by one using a sensor.

• Image Processing Software

Incidents have occurred where similar resin-molded parts, such as automotive components, were shipped as different products due to their almost identical appearance. We conducted defect detection tests for dents and other issues based on inquiries from trading companies. 【Inspection Settings and Results】 Based on the samples we received, we were able to detect dents. The learning process was executed for approximately 2,400 steps, and the graph converged in about 16 minutes. The time may vary depending on the specifications of the PC used. The main specifications of the PC used for verification are: OS: Windows 10 Home 64bit, CPU: Intel(R) Core(TM) i7-9750H, RAM: 16GB, GPU: NVIDIA GeForce GTX1660 Ti. In this case, defects such as dents are labeled as "anomalies." The left image shows the annotation, and the right image shows the detection frame.

• Image Processing Software

In food manufacturing, crates may be used during delivery. When collecting crates, they may be left in open warehouses or outdoors, which can lead to contamination from bird droppings, paper, and other foreign materials, as well as deformation. This time, we received a request from a customer to ensure that products are received in clean crates, so we examined the dirt and foreign materials attached to the containers. 【Inspection Settings and Results】 For bird droppings, we conducted tests using white, black, and brown paint as shown in the image on the right. After annotating the detection area (the process of enclosing the detection area in a frame) as shown in the left image, we proceeded with "training." We annotated 10 images for each NG variety. The "number of recognition points (standard value)" was set to "10" (the default is "60"), and detection was successful. 【Software and Equipment Used】 Software Used: DeepSky Learning Version Field of View: 400 x 300mm Minimum Size of Inspection Target: 10mm Number of Inspection Points: 1 location to find NG from the entire screen Camera Resolution: 1.3 million pixels Lens Focal Length: 6mm Distance Between Lens and Product: 580mm Lighting: If the brightness varies in the morning and evening near windows, it is recommended to install lighting.

• Image Processing Software

There have been incidents where resin-molded parts, such as automotive components, were shipped as defective products despite having discoloration or scratches, as they appeared almost identical. In an era where higher quality is demanded across various industries, we recommend automating inspections to ensure stable shipments, especially for defects that are difficult to detect through visual inspection. 【Inspection Settings and Results】 By illuminating at an appropriate angle, we were able to detect and assess the discolored areas. In this case, we set up 4 NG sample parts and captured a total of 12 annotated images by changing the angle. Detection in the environment is only possible for the curved surfaces shown in the images above. When inspecting other surfaces, it is necessary to change the lighting and camera position for imaging. 【Software and Equipment Used】 Software Used: DeepSky Learning Edition Field of View: Approximately 447 x 355 mm Minimum Size of Inspection Target: 2 mm Number of Inspection Points: 1 point covering the entire screen Camera Resolution: 1.3 million pixels Lens Focal Length: 6 mm Distance Between Lens and Product: Approximately 400 mm Lighting: Linear fluorescent lamp Distance Between Lighting and Inspection Item: Approximately 200 mm above

• Image Processing Software

Automotive parts and other resin-molded components can vary in availability and position due to differences in specifications. However, in the case of similar products, accidents have occurred where similar but incorrect items were shipped because they looked almost identical. We will inspect the presence of clips and rivets. 【Inspection Setup and Results】 By using DeepSky, it was possible to determine the presence of clips and rivets. While it is challenging to make judgments when the items are rotated 90 or 180 degrees, detection was possible by slightly shaking the items in the rotation direction within the visible range and training the system with the shaken images as examples. 【Software and Equipment Used】 Software Used: DeepSky Learning Version Field of View: Approximately 685 x 549 mm Minimum Size of Inspection Target: 2 mm Number of Inspection Points: 6 Camera Resolution: 1.3 Megapixels Lens Focal Length: 8 mm Distance from Lens to Product: Approximately 900 mm Lighting: Indoor Lighting

• Image Processing Software

Inspection of metal parts is often difficult due to light reflection. In this case, the presence of a white foreign object trapped in the product was identified as a defect, and the key point of the verification was whether we could accurately distinguish between the halation and the white foreign object. 【Inspection Settings and Results】 By using EasyInspector's "Comparison with Master Image" feature, we were able to detect foreign objects trapped in the metal parts. Since the reflection of the product varies individually, we set up additional and removed non-detection areas and also made adjustments to the lighting. As a result, we were able to determine the halation and visually similar white foreign object in less than 0.22 seconds. 【Software and Equipment Used】 Software Used: EasyInspector310 Field of View: 10 x 15mm Minimum Size of Inspection Target: Not recorded Number of Inspection Points: 1 Camera Resolution: 1.3 Megapixels Lens Focal Length: 25mm Distance Between Lens and Product: 300mm Lighting: Thin Diameter Ring Lighting

• Image Processing Software

Regarding the engraving of the metal parts this time, it was a verification point to determine the contrast between black text on a black background, which is not clearly distinguishable, and to see if the printing could be clearly captured using lighting, as the metal causes glare when illuminated. 【Inspection Settings and Results】 Using the "Scratch Inspection" feature of EasyInspector, we overlapped the inspection frame and set up two types of settings. One was to detect black scratches, and the other was to detect white scratches, so that when a scratch (the edge of the printed part) was found, it would pass. Both inspections were able to be judged in 0.2 seconds at once. 【Software and Equipment Used】 Software Used: EasyInspector310 Field of View: 1500mm x 1700mm Minimum Size of Inspection Target: 15mm Number of Inspection Points: 1 Camera Resolution: 1.3 Megapixels Distance: 35mm Distance Between Lens and Product: Approximately 350mm Lighting: Linear Fluorescent Lamp

• Image Processing Software

The differences in color are not significant, so there were many overlooked defects during visual inspection. There was a request for evaluation to determine the presence or absence of burrs using a fixture. 【Inspection Settings and Results】 By using the "Scratch Inspection" feature of EasyInspector, we were able to detect burrs in red. In EasyInspector, inspection in a fixed state is essential. False detections in positions where burrs do not occur can be managed by setting "non-detection pixels" to prevent detection. It was an important point in the inspection to enlarge and capture the inspection area significantly.

• Image Processing Software

In the assembly and implementation of fine parts within metal products of approximately 50mm, there have been incidents where products were shipped with incorrect assemblies due to the similar appearance of their silhouettes. To address this issue, we attempted an image inspection judgment test. 【Inspection Settings and Results】 By using the "Color Comparison Inspection" feature of EasyInspector, we were able to detect differences in the orientation of parts and determine visually similar items (incorrect products) in less than one second. We set a pixel detection rate pass/fail criterion. Here, it is configured to fail if the detected silver color exceeds the upper limit. The red areas in the photo indicate the pixels that detected the specified color. 【Software and Equipment Used】 Software Used: EasyInspector310 Field of View: 250 x 200mm Minimum Size of Inspection Target: 5mm Number of Inspection Points: 1 Camera Resolution: 3 million pixels Lens Focal Length: 35mm Distance Between Lens and Product: 300mm Lighting: Dome Lighting

• Image Processing Software

This time, we received a request from an automotive parts manufacturer for a free evaluation of the presence or absence of scratches on the metal parts of automotive components, based on the images provided. They sent photos of the valve (automotive bulb) and documentation of the defects. [Inspection Settings and Results] By using the "Scratch Detection" feature of EasyInspector, we were able to detect multiple scratches sensitively in less than one second. The threshold settings can be adjusted by the customer to determine how much of the scratch is considered acceptable. [Software Used] Software: EasyInspector310 Number of Inspection Points: 1 The current 'EasyInspector2' color package can be used for [scratch and defect detection].

• Image Processing Software

Metal products often have parts that appear symmetrical. Many of our customers use our visual inspection software to prevent careless mistakes of parts that can be mistakenly implemented due to left-right errors from being passed on to the next process. 【Inspection Settings and Results】 By using the "Color Comparison Inspection / Presence of Specified Color Inspection" feature of EasyInspector, we were able to set the position and color for the correct orientation and make a judgment in less than one second. If you provide us with a photo of the defects you want to identify, it may also be possible to verify based solely on the photo. We look forward to hearing from you even if you cannot send sample products. 【Software Used】 Software Used: EasyInspector310 Number of Inspection Points: 1

• Image Processing Software

We received a request to conduct a test for reading the vehicle body model label of a certain automobile manufacturer and recording it in CSV, as well as inspecting the reading of the nameplate engraving. At that time, achieving high accuracy in reading was a challenging task. We devised a method to separate letters and numbers for inspection. 【Inspection Settings and Results】 Using EasyInpector's "BAR/QR/OCR" function, we performed readings for two types of labels. For the first type, we set up 38 inspection frames for reading the label text and successfully read over 50 characters in 4.74 seconds. The second type was the text on the nameplate, for which we also set up 23 inspection frames and made a judgment in 4.65 seconds. This project has contributed to the system's version upgrade. Currently, it is easier to set up as "OCR Pro Inspection" in EasyInpector, allowing for more accurate readings.

• Image Processing Software

In the welding section, small defects such as tears, bead misalignment, and blowholes may occur. These defects can be difficult to detect visually. 【Inspection Settings and Results】 By using EasyInspector's "Presence of Specified Color Inspection" feature, we were able to determine the presence of two welding holes and detect the visually subtle welding tear in less than 0.25 seconds. In this case, we have set the non-detection pixels (the areas painted red). This part does not detect discrepancies with the master image. EasyInspector has various convenient settings.

• Image Processing Software

This time, we received a request from a major sash manufacturer for an inspection of aluminum parts in Shining Gray, White, and Brown colors, checking for the presence or absence of screws. This customer has also made multiple verification requests, and we are utilizing our image inspection software in various ways. The verification was conducted based on photos of the manufacturing line sent via email. 【Inspection Settings and Results】 By using the "Presence or Absence of Specified Color" function of EasyInspector, we were able to inspect each color. We set the shift correction to feature recognition and illuminated the product from a 45-degree angle above, which was key to highlighting the screw threads during inspection. Care was needed to ensure that reflected light did not directly enter the camera. The inspection cycle time this time was just over 2 seconds. 【Software Used】 Software Used: EasyInspector310 (Ver.2.5.0.0) Number of Inspection Points: 1

• Image Processing Software

【Inspection Settings and Inspection Results】 By using the "Dimension and Angle Inspection" feature of EasyInspector, it was possible to set six inspection frames and determine in 0.22 seconds whether the specified parts on the left and right sides of the component are parallel. The inspection results can be displayed on the monitor with dimensions. If necessary, they can be recorded with photos and in CSV format. This time, the specifications were set to display the dimensions of the gaps on the left and right. 【Software Used】 Software Used: EasyInspector Current 'EasyInspector2' MS (MeaSure) package allows inspection with [Position and Width Measurement] and [Angle Measurement].

• Image Processing Software

The molded products in sheet metal processing often require precise accuracy. This time, we conducted an inspection of the curvature angle using two inspection frames. This inspection checks for misalignment of the parts. 【Inspection Setup and Results】 By using the "Dimension Angle Inspection" feature of EasyInspector, we combined two inspection frames and calculated the intersection points. In the repeatability accuracy test, the maximum value was 371.329, the minimum value was 371.308, resulting in a difference of approximately 0.021mm. The inspection cycle time was 0.60 seconds. 【Software and Equipment Used】 Software Used: EasyInspector310 (Ver.2.5.0.0) Field of View: 400 x 300mm Minimum Size of Inspection Target: 40mm Number of Inspection Points: 2 Camera Resolution: 3 million pixels Lens Focal Length: 12mm Distance Between Lens and Product: Not recorded Lighting: None The current 'EasyInspector2' MS (MeaSure) package can perform inspections for [Position/Width Measurement] and [Angle Measurement].

• Image Processing Software

As a necessary verification item for automotive parts manufacturing companies, there is a check for the presence or absence of holes in pressed molded products. Traditionally, operators counted the holes and checked whether they were in the correct position. With the desire to automate this process through image inspection for efficient and accurate testing, we received inquiries from our company. 【Inspection Settings and Results】 By using the "Presence of Specified Color Inspection" feature in EasyInspector's "Color Comparison Inspection," we set up inspection frames for 10 holes and configure it to pass if 10 black (holes) are detected. By setting the pass/fail criteria, it becomes possible to detect holes ranging from small to large.

• Image Processing Software

The products handled by cutting tool manufacturers often have many similarities, so each product is marked with an imprint for management purposes. However, due to the presence of some products with irregular shapes, there were instances of imprint printing errors. This time, we proposed software to detect discrepancies in characters and smudging in the imprints of cylindrical products, allowing for the distinction between good and defective items. 【Inspection Settings and Results】 By using the "Color Comparison Inspection" feature of EasyInspector, specifically the "Comparison with Master Image" function, we set up one inspection frame for each inspection item to detect the same imprint. Since the objects with imprints are cylindrical, it was necessary to detect areas that are difficult to see on the sides. Additionally, because the products were coated with anti-rust oil, we fixed their position and orientation and used dome lighting to ensure that light reached the sides, allowing for accurate judgment.

• Image Processing Software

Metal parts processing manufacturers often handle small products. When the inspection targets, such as metal buttons, are as small as 10mm, and the areas with scratches or deformations are even smaller, it can be difficult to visually confirm these areas, leading to the issue of shipping defective products. Therefore, we attempted to improve this situation by using image processing software. 【Inspection Item Settings and Inspection Results】 * Scratch detection (before inspection: after inspection) * Non-detection pixel settings (the red areas are not detected) By using the "Scratch Inspection" feature of EasyInspector, we set it up so that if scratches (white spots) are detected within the inspection target, it would be marked as a failure. At that time, due to the lighting conditions, white shiny spots can occur, so we implemented non-detection pixel settings to avoid false detections.

• Image Processing Software