Visual Inspection System Product List and Ranking from 34 Manufacturers, Suppliers and Companies

Case Study of Automated Visual Inspection: AI-Based Vegetable Color Change Inspection Example

An example of automating visual inspection by installing cameras and lighting on the line to capture and inspect the discoloration of vegetables flowing on the conveyor line!

Regarding the inspection of discoloration (such as rot) of vegetables being transported on the line, would you consider switching from "visual inspection" to "automated inspection using cameras"? By installing cameras and lighting on the existing transport line and utilizing AI, we can create a system to inspect whether any rotting vegetables are flowing through during transportation. For irregularly shaped items, such as certain vegetables that are difficult to distinguish with conventional inspection devices, it becomes possible to identify them using AI. 【Features of this system】 - Inspection can be conducted on the transport line without creating a separate inspection system. - Since inspections are performed on the transport line, it is possible to conduct inspections without the need for additional equipment. - AI enables inspections for irregularly shaped vegetables. - The equipment 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 provided in the PDF.

Company：エーディーディー
Price：Other

Visual Inspection Equipment
Visual Inspection System

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Case study of automated visual inspection: Inspection examples of components using in-process trays.

A case study of automating visual inspection by sequentially inspecting components arranged in a process tray using a general-purpose XY stage!

Would you like to switch the visual inspection of products lined up in the tray within the process from "manual inspection" to "automated inspection using a camera"? We will introduce a practical example of the "iVision Robot," which allows inspection for each cell by installing a camera and lighting on a general-purpose XY stage moving device. By using a two-dimensional operating stage, it becomes possible to inspect the workpieces lined up in the tray sequentially without having to set the camera position each time, allowing you to confirm which cell had what kind of defect. 【Features of this system】 - By using a two-dimensional operating stage, it is possible to inspect the tray by cell. - Displays a map showing where and what kind of defects were found in the tray. - The device can be modified based on the inspection content. *First, we will verify whether the workpieces you wish to inspect can be inspected. *Detailed processing information and flow are included in the PDF.

Company：エーディーディー
Price：Other

Visual Inspection Equipment
Visual Inspection System

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Case Study of Automated Visual Inspection: Example of Vegetable Shape Inspection Using AI

A case study of automating external inspections of vegetables such as root crops by installing cameras on existing transport and sorting equipment and using AI for judgment!

Regarding the size classification and defect inspection of root vegetables flowing on a dedicated conveyor line, would you consider switching from "visual inspection" to "automated inspection using cameras"? By installing cameras and lighting on the existing conveyor and classification equipment and using AI for judgment, we can create a system that classifies root vegetables by size and identifies defects during transport. Using AI makes it possible to distinguish items with irregular shapes and colors, such as vegetables, which are difficult to identify with standard inspection equipment. 【Features of this system】 - Inspection can be conducted using the existing conveyor and classification equipment without creating a separate inspection system. - Utilization of the existing conveyor line allows for effective use of equipment. - AI enables inspection of irregularly shaped vegetables. - The equipment 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 details and processing flow, is provided in the PDF.

Company：エーディーディー
Price：Other

Image Processing Software
Visual Inspection System

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I want to perform visual inspections using AI! Introducing the benefits of using AI.

We will present a proposal explaining issues such as the complexity of the product making it difficult without AI, and the problems of implementing AI that does not make accurate judgments.

The shape and conditions of the product are complex, so inspection cannot be done without using AI. We borrowed a demo machine that can inspect with AI, but it does not make correct judgments. It seems that anything can be done with AI, but there are pitfalls. I will briefly explain the suitability of using AI, the reasons why things may not go well, and more. [Contents of Proposal 2] - The misconception that it is difficult without AI - What AI inspections are good at - Reasons why inspections may not go well - Solutions to problems during implementation If you are currently considering automating inspection systems with AI, please take a moment to read this.

Company：エーディーディー
Price：Other

Image Processing Software
Visual Inspection System

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Case Study of Automated Visual Inspection: Example of Defect Inspection for Rod-Shaped Metal Products

An example of automated visual inspection using XY operational robots and trays with rotating mechanisms to inspect the entire side surface of rod-shaped metal and resin products.

Regarding the side inspection of cylindrical products arranged on a dedicated tray equipped with a rotating mechanism: "Shall we switch from visual inspection to automated inspection using a camera?" We will introduce a practical example of the "iVision Robot" that combines a general-purpose XY stage movement device with a special tray. In the side inspection of cylindrical components, it is common to inspect each item one by one while rotating the inspection target, which can be very costly to create a dedicated inspection device. Therefore, by creating a simple rotating device equipped with a dedicated tray and using it in conjunction with a movable camera, it is possible to create a relatively inexpensive device. 【Features of this system】 ■ Enables side inspection of cylindrical products using a dedicated tray and a two-dimensional movable stage ■ Allows for the introduction of an inspection device at a relatively low cost without creating an independent inspection device ■ Displays a map indicating the location and type of defects on the tray ■ The device can be modified based on the inspection content *First, we will verify whether the work you wish to inspect is feasible. *Detailed processing information, including details and processing flow, is provided in the PDF.

Company：エーディーディー
Price：Other

Image Processing Software
Visual Inspection System

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Case study of automated visual inspection: Example of soldering condition inspection on a circuit board.

A case of automated visual inspection using an XY robotic system to continuously inspect for missing or misaligned solder balls on IC chips!

Shall we switch the inspection of the soldering condition on the substrate from "visual inspection" to "automated inspection using a camera"? We will introduce a practical example of the "iVision Robot," which operates as an inspection system 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 condition of solder balls at various locations on the substrate. 【Features of this system】 - Capable of inspecting the absence and positional defects of solder balls across the entire substrate - Mapping of defective areas is also possible - The device can be modified based on the inspection content *First, we will verify whether the work you wish to inspect is feasible. *Detailed processing information, including details and processing flow, is provided in the PDF.

Company：エーディーディー
Price：Other

Image Processing Software
Visual Inspection System

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Case Study of Automated Visual Inspection: Steel Plate Inspection Using 3D Sensors

An example of automated appearance inspection using a 3D sensor to measure the unevenness on metal steel plates, such as copper, flowing on a conveyor!

Regarding the inspection of the surface irregularities of metal steel plates flowing on the line, would you consider switching from "individual measurements" to "automated inspection using 3D sensors"? By installing 3D sensors on the existing conveyor line and conducting measurements, it becomes possible to inspect the irregularities without having to individually remove and measure each plate. For materials like metal plates, which are difficult to handle manually, conducting inspections on the existing conveyor line can reduce the effort and human errors associated with separate inspections. 【Features of this system】 - Inspection can be performed on the conveyor line without creating a separate inspection system. - By installing the device on the production line, the inspection process can be streamlined. - The use of 3D sensors enables the realization of inspection devices that can measure size and depth. - 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 provided in the PDF.

Company：エーディーディー
Price：Other

Image Processing Software
Visual Inspection System

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Case Study of Automated Visual Inspection: Tablet Chipping and Staining Inspection Example

A case study of automating visual inspection using a general-purpose XY stage for inspecting tablets spread out on a tray!

Would you like to switch the visual inspection of tablets and other pills spread out on a tray from "manual inspection" to "automated inspection using a camera"? We will introduce a practical example of the "iVision Robot," which installs a camera and lighting on a general-purpose XY stage movement device, enabling inspection over a specified area. By using a two-dimensional operating stage, it is possible to inspect the entire designated area for each specified section without having to set the camera position each time, allowing you to confirm where and what kind of defects were present. 【Features of this system】 - By using a two-dimensional operating stage, it is possible to sequentially inspect even large areas. - It indicates the coordinates of defects and displays a map showing where and what kind of defects were found. - 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 is included in the PDF, along with the processing flow.

Company：エーディーディー
Price：Other

Image Processing Software
Visual Inspection System

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Visual inspection using a combination of AI and rule-based methods for more stable inspections.

Would you consider using a combination of AI and rule-based methods to conduct inspections correctly?

When using AI for visual inspection, it is essential to first gather images of both good and defective products. Would you consider exploring a rule-based approach to solve these issues? By following these steps, stable visual inspection with AI can be achieved. [Contents of Proposal 4] - Collect a large number of accurate images - Train the AI on accurate images - In that case, is AI really necessary? Thinking about the future, I want to use AI, but I'm worried if it can truly perform inspections. If you feel this way, please take a moment to read this.

Company：エーディーディー
Price：Other

Image Processing Software
Visual Inspection System

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Case Study of Automated Visual Inspection: AI-Based Inspection of Bento Ingredients

A case study of automating visual inspection by installing cameras and lighting on the line to capture and inspect the condition of bento boxes flowing on the conveyor line!

Regarding the mistakes or absence of ingredients in the bento boxes being transported on the line, would you consider switching from "visual inspection" to "automated inspection using cameras"? By installing cameras and lighting on the existing transport line and utilizing AI, we can create a system that inspects for mistakes in the arrangement or presence of ingredients while they are being transported on the line. This system will also be able to identify irregular items, such as bento ingredients, which are difficult to distinguish with conventional inspection devices, by using AI. 【Features of this system】 ■ Inspection can be conducted on the transport line without creating a separate inspection system. ■ Since inspections are performed on the transport line, it is possible to conduct inspections without creating additional devices. ■ By using AI, inspections can be carried out for ingredients that do not have consistent shapes or colors. ■ The device can be modified based on the inspection content. *First, we will verify whether the work you wish to inspect is feasible. *Detailed processing information is provided in the PDF, including specifics and processing flow.

Company：エーディーディー
Price：Other

Image Processing Software
Visual Inspection System

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Case study of automated visual inspection: Example of container lid condition inspection using 3D sensors.

An example of automating visual inspection to check the sealing condition of container lids flowing on the conveyor line by installing a 3D sensor on the line!

Regarding the inspection of the lids of containers being transported on the line, would you consider switching from "visual inspection" to "automated inspection using 3D sensors"? By installing 3D sensors on the existing transport line and measuring the condition of the lids, we can create a system that performs inspections without the need for inspectors to be stationed on the transport line. Using 3D sensors allows us to confirm the sealing condition of the lids, including slight "lifting" that is difficult to detect with overhead cameras. 【Features of this system】 ■ Inspections can be conducted on the transport line without creating a separate inspection system. ■ Since inspections are performed on the transport line, it is possible to conduct inspections without creating additional equipment. ■ The use of 3D sensors enables the detection of slight lifting of the lids. ■ The equipment 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 provided in the PDF.

Company：エーディーディー
Price：Other

Image Processing Software
Visual Inspection System

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Case Study of Automated Visual Inspection: Inspection Example of Spherical Rubber and Urethane Products

A case study of automating visual inspection using a general-purpose XY stage to inspect the size and deformation of spherical rubber products!

Would you like to switch the visual inspection of spherical-shaped parts spread out on a work tray from "manual inspection" to "automated inspection using a camera"? We will introduce a practical example of the "iVision Robot," which has a camera and lighting installed on a general-purpose XY stage movement device, allowing inspection over a specified area. By using a two-dimensional moving stage, it is possible to inspect the entire designated area for each specified area without having to set the camera position each time. This allows for checking whether there are any items of varying sizes, chips, deformations, or anything that does not meet specifications mixed in. 【Features of this system】 - By using a two-dimensional moving stage, it is possible to sequentially inspect even large areas. - It indicates the coordinates of any defects and displays a map showing the positions and types of defects found. - The device can be modified according to the inspection requirements. *First, we will verify whether the workpieces you wish to inspect can be accommodated. *Detailed processing information and flow are provided in the PDF.

Company：エーディーディー
Price：Other

Image Processing Software
Visual Inspection System

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Case study of automated visual inspection: Inspection case of engraved text on metal rods.

A case study on the automation of visual inspection for reading characters engraved on the side of a metal rod!

Would you like to switch from "visual inspection" to "automated inspection using a camera" for verifying the characters stamped on the side of metal rods and checking for correctness? We would like to introduce a hand-held inspection device that accurately reads characters stamped on flat and curved surfaces, allowing for confirmation of character strings and correctness judgment. In this system, a simple hand-held inspection device is set up with only a camera and lighting on the inspection stand, enabling accurate reading of characters stamped on curved surfaces and surfaces that easily reflect light, which are difficult to read with general-purpose machines. 【Features of this system】 ■ A simple inspection system with a camera and lighting installed on the inspection stand ■ Capable of reading characters stamped on glossy and curved surfaces ■ The device can be modified based on the inspection content *First, we will verify whether the work you wish to inspect is feasible. *Detailed processing information and flow are included in the PDF.

Company：エーディーディー
Price：Other

Image Processing Software
Visual Inspection System

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Case study of automated visual inspection: Inspection example of electronic components housed in trays.

A case study of automating visual inspection using a general-purpose XY stage to sequentially inspect the appearance of electronic components housed in a tray!

Shall we switch the visual inspection of electronic components housed in trays from "manual inspection" to "automated inspection using a camera"? We would like to introduce a practical example of the "iVision Robot," which allows for inspection of each cell in the tray by installing a camera and lighting on a general-purpose XY stage moving device. By using a two-dimensional operating stage, it becomes possible to inspect the workpieces lined up in the tray sequentially without having to set the camera position each time, allowing us to confirm which cell had what kind of defect. 【Features of this system】 ■ By using a two-dimensional operating stage, it is possible to inspect the tray cell by cell. ■ Displays a map indicating where in the tray the defects were located. ■ The device can be modified based on the inspection requirements. *First, we will verify whether the workpieces you wish to inspect can be accommodated. *Detailed processing information, including specifics and processing flow, is included in the PDF.

Company：エーディーディー
Price：Other

Image Processing Software
Visual Inspection System

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Proposal for Semi-Automatic Simple Inspection for Reduced Labor and Small Space

A compact automatic inspection system that allows one operator to achieve "input ⇒ automatic inspection ⇒ output."

Automated inspection by robots is expensive, so we want to keep the introduction costs down and manage with minimal personnel! We want to achieve automated inspection in a small space! This is recommended for those who have such concerns! The manual tasks involve placing the items to be inspected onto a conveyor, and after completing the automated inspection, only the simple task of classifying and discharging according to the screen instructions remains. ADDI Co., Ltd. proposes and delivers solutions tailored to our customers' needs based on our long-standing technology in inspection equipment development. If you want to automate inspections but find it difficult to secure a budget and want to limit automation to just a part, please feel free to consult us. *For details, please download the catalog in PDF format. We first confirm what the customer wants to inspect and in what condition, then consider cameras, lighting, etc., accordingly, and based on that, we will propose the necessary inspection equipment.

Company：エーディーディー
Price：Other

Image Processing Software
Visual Inspection System

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[AI Use Case] Detecting tablet defects and stopping the conveyor.

A simple system that continuously inspects the conveyor with a fixed-point camera to "prevent defective products from flowing further ahead"!

We will introduce a system that detects broken tablets and stops the conveyor. It was found that using a mechanical relay to perform ON/OFF at 100V generates significant electromagnetic noise, so we switched to a solid-state relay for testing. We added a patrol light to the wiring for "ON/OFF of the 100V power supply from DeepSky," which alerts with a red light and buzzer when a broken tablet (defective product) flows through, stopping the conveyor. When good products continue to flow, a green light is illuminated, and the conveyor keeps moving. 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 ■ 25mm Lens: M2514-MP2 ■ Camera Stand (Aluminum Frame) *For more details, please refer to the PDF document or feel free to contact us.

Company：スカイロジック
Price：Other

Image Processing Software
Visual Inspection System

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[AI Image Inspection Case] Clip Shape Inspection

We will conduct inspections for shape defects caused by deformation of clips using AI image inspection software!

We received a request for inspection of deformation of clips from a manufacturer specializing in renovations and remodeling. The inspection system was specifically envisioned as follows: drop each sample one by one due to vibration, move it to the camera section via a conveyor belt, determine and sort using the camera, and then the conveyor belt separates the acceptable products from the defective ones. **[Inspection Settings and Results]** We conducted inspections for shape defects using the samples we received. We verified using two patterns: from above and from the side, and it was possible to identify acceptable and defective products from above. The side inspection was able to detect the "angle of the edge," the "gap" in the clip section, and "twisting." The left image shows three types detected, while the right image displays the separated labels. There is no specified quantity for "OK," and the setting for defective is from 0 to 0 (if even one is present, it is considered NG). **[Software and Equipment Used]** Software used: DeepSky Learning Edition Field of view: Approximately 40 x 30 mm Minimum size of inspection target: 30 mm Number of inspection points: 3 Camera resolution: 1.3 million pixels Lens focal length: 25 mm Distance between lens and product: Approximately 170 mm Lighting: Indoor fluorescent lights

Company：スカイロジック
Price：Other

Image Processing Software
Visual Inspection System

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[AI Image Inspection Case] Measurement inspection of the angle and length of the chamfered part of a printed circuit board.

The angle and length of the chamfered part of the electronic circuit board were measured.

This is a test where we send you a camera and sample products. Our company offers a free evaluation service with the equipment you want to use and sample delivery. We are constantly considering configurations to solve your problems accurately and cost-effectively with simple setups. 【Inspection Settings and Results】 By using the "Dimension and Angle Inspection" function of EasyInspector, we measure the dimensions, angles, and lengths of the chamfered parts of the substrate at 10 inspection points in 0.37 seconds. The red circles in the photo indicate the detected intersection points, and the green lines represent the detected edge parts. 【Software and Equipment Used】 Software Used: EasyInspector710 Field of View: 15 x 10mm Minimum Size of Inspection Target: 0.2mm Number of Inspection Points: 10 Camera Resolution: Microscope Lens Focal Length: Not used Distance between Lens and Product: Not recorded Lighting: Indoor light The current 'EasyInspector2' MS (MeaSure) package can perform inspections for [Position and Width Measurement] and [Angle Measurement].

Company：スカイロジック
Price：Other

Image Processing Software
Visual Inspection System

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IoT-enabled AI visual inspection system 'FALCON'

From tests that impose "burden" on people to tests that generate "added value."

"FALCON" is an IoT-enabled AI visual inspection system that controls the posture of workpieces using various mechanisms instead of human hands and supports the imaging of anomalies. Based on past knowledge aggregated in an internal database, it proposes optimal imaging equipment configurations. Furthermore, by combining AI with rule-based methods, it covers a wide range of anomaly detection. Additionally, it can synchronize with preceding and subsequent processes, enabling full inspection of all items. It offers system proposals from a "holistic optimal perspective" that takes into account the challenges of preceding and subsequent processes as well as the entire factory. 【Features】 ■ Construction of a highly accurate imaging environment ■ Highly versatile image processing software ■ Image processing software that enhances operator usability ■ Automation of transportation and discharge synchronized with preceding and subsequent processes *For more details, please refer to the PDF document or feel free to contact us.

Company：ノダキ本社
Price：Other

Other inspection equipment and devices
Visual Inspection System

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[Case Study] AI Visual Inspection System

Significant reduction in inspection costs through the automation of inspection for small parts' scratches, burrs, contours, and dimensions!

When inspections of small parts are conducted visually by humans, there are issues such as variations in inspection results due to differences in judgment points among individuals and the way lighting is applied. The 'AI Appearance Inspection System' automates visual inspections, enhancing the efficiency of product inspections by clearly detecting fine details of the target objects and instantly identifying scratches, contours, dents, and dirt. By automating inspections, the burden on workers can be significantly reduced, and after inspecting small products, continuous orders for larger products can be accommodated. [Challenges and Requests Before Implementation] ■ When inspections of small parts are conducted visually by humans, variations in inspection results occur. ■ In inspections using a microscope, the limited viewing area can lead to missed detections. ■ In cases of small quantities and a wide variety of products, the inspection points differ each time, increasing the burden on workers. *For more details, please refer to the PDF document or feel free to contact us.

Company：アキュイティー
Price：Other

Defect Inspection Equipment
Visual Inspection System

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[Case Study of AI Visual Inspection] Inspection of water contamination and water leakage inside containers before shipment.

Achieve cost reduction through visual inspection and prevention of defective outflow! Improved customer satisfaction can also be expected.

If there are water stains or leaks inside the container, it cannot be shipped as is, so visual inspections for water stains and leaks are conducted by personnel. However, since the subject being checked is water, it is difficult to make quick judgments, which poses a challenge. The solution to these challenges is the "AI Appearance Inspection System for Water Detection." This system can prevent defective products from being released and reduce costs. It automates the detection of water stains and leaks, which are difficult to assess visually. [Challenges and Requests Before Implementation] ■ It is difficult to make quick judgments since the subject being checked is water. - There is variability in the time taken for inspections depending on the person checking. - There is variability in the criteria for judgment. *For more details, please refer to the PDF document or feel free to contact us.

Company：アキュイティー
Price：Other

Visual Inspection Equipment
Visual Inspection System

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We will be exhibiting at the 2nd (Kyushu) Semiconductor Industry Exhibition.

Power semiconductor applications, appearance inspection of ceramic substrates detected with rule-based + AI technology! Confirmation process also improves efficiency with AI technology!

Full support from FPC design, prototyping, and mass production to board electrical testing, appearance inspection systems, and FA automation! TAIYO FPC SOLUTIONS! 【Exhibition Contents】〇 Appearance Inspection System 〇 Flexible Printed Circuit Boards 〇 Robot/FA Systems_Automation Systems 〇 Lead Frame Prototyping 〇 Ionizer 【Business Activities】 ■ Test System Business ・Development and manufacturing of electrical inspection systems ・Development and manufacturing of final appearance inspection systems ・Manufacturing of visual inspection devices and image processing devices ■ Industrial Machinery System (Trading Company) Business ・Design and manufacturing of robot FA systems and automation systems ・Sales of high-end products from carefully selected manufacturers ・"Needle-less Ionizer" Static Electricity Removal Device Ion Blade F3 ■ Electronic Circuit Board Business ・Design and production of flexible printed circuit boards ・Assembly of printed circuit boards ・Electronic circuit CAD design ・Manufacturing of metal masks (electroforming method) ・Design and production of various contact probes ・High-precision lead frame prototyping ■ Mirror Polishing Machine Business (Mirak Co., Ltd.) ・Manufacturing of mirror polishing machines and grinding machines ・Maintenance and retrofitting of equipment ・Sales of grinding wheels

Company：太洋テクノレックス本社　和歌山
Price：Other

Visual Inspection Equipment
Visual Inspection System

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AI System for Manufacturing Industry "Appearance Inspection AI Package"

Shorten the development period for AI models and systems. Reduce the investment risks of implementing AI systems.

This is an appliance product that packages all the functions necessary for AI judgment in visual inspection into optimal hardware. It is a CLI (Command Line Interface) centered product that is easy to use when in-house AI systems are developed, allowing for the execution of all AI control functions, such as inference control for AI judgment and configuration management related to the AI engine, embedded in scripts. Therefore, your company's internal system engineers can flexibly and easily integrate it with external connections and business workflows. Additionally, since it is a packaged product with hardware that can be integrated with your existing visual inspection equipment, it can be implemented in a short period.

Company：京セラコミュニケーションシステム
Price：Other

Image analysis software
Visual Inspection System

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We provide consulting on the use of AI to solve challenges in manufacturing sites!

Manufacturing Industry × AI For those struggling with AI utilization! We solve problems related to system development using image recognition technology, one of the achievements of AI technology.

We propose the "Rist Adviser Service," which optimizes the use of AI and leads to business transformation. By providing advice on the challenges faced during AI implementation, we enable you to proceed with a more efficient introduction and utilization of AI. 【Examples of Challenges】 ■ We want to seriously advance DX, but we don't know where to start... ■ We are not seeing the desired results from our internal AI project... ■ We want to strengthen our internal AI team or establish one from scratch... ⇒ Please feel free to consult us about these challenges! We can offer proposals for efficient AI utilization and business flow optimization through the shortest route without waste. Our team includes professionals with titles of Kaggle Master or higher. *For more details, please refer to the PDF document or feel free to contact us.

Company：Rist
Price：Other

Business Intelligence and Data Analysis
Technical Seminar
Visual Inspection System

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AI Appearance Inspection System

It is a system that conducts inspections with machine vision using cameras and software, replacing the visual inspections that were previously done by human eyes.

It is a system that conducts inspections using machine vision with cameras and software, replacing the visual inspections previously done by human eyes. In traditional visual inspections, the quality can vary significantly due to the "experience" and "physical condition" of the inspectors, leading to human risks such as inconsistencies in quality and overlooking defective products. Therefore, an appearance inspection system using machines like cameras and image processing was developed. By automating appearance inspections with image processing technology, it has achieved stable inspection accuracy and improved cost performance. Furthermore, in recent years, the remarkable advancement of AI technology (deep learning) has led to image recognition becoming an advanced technology utilized even in security. When inspectors encounter unknown defects during appearance inspections, they can discover them by sensing some form of "discomfort." AI can quantify and express that "discomfort," allowing it to detect unknown defects without missing them. In other words, it can complement human judgment based on visual inspection.

Company：Jotsu 本社
Price：500,000 yen-1 million yen

Other industrial robots
Visual Inspection System

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Cost Reduction of Inspection Processes through AI Visual Inspection *Includes Example Report

Detecting product scratches, dents, and poor joints! We have developed high-precision AI to contribute to the efficiency of inspection operations.

Based on our extensive experience in designing inspection equipment for the manufacturing industry, we propose AI visual inspection systems tailored to your needs. Instead of visual inspections for scratches, dents, and poor joints on various products, we conduct efficient inspections through automatic judgment using AI. To develop high-precision AI, we analyze object recognition and detection errors using deep learning, and we carry out verification and improvements from various angles, including camera types, shooting environments, and product shapes. We also propose product designs for AI, making every effort to ensure there are no concerns about accuracy. Currently, we are offering a digest version of our AI visual inspection report. For more details, please download the materials or contact us through our company website.

Company：豊橋設計
Price：Other

Visual Inspection Equipment
Visual Inspection System

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[Column] Key Points for Automating Visual Inspections

Prevention of human error! Automated inspection using image sensors and image processing systems.

There are generally two types of visual inspection: "manual inspection" conducted by the human eye and "automated inspection" utilizing image sensors and image processing systems. While manual inspection can be easily performed, it has the disadvantages of human error and variability in judgment criteria. The key to automating inspections is to clearly define where in the process, what needs to be inspected, and at what speed. If you consult with us, we will provide proposals tailored to your inspection targets and the scope and items for automation. **Benefits of Automating Visual Inspections (Excerpt)** - Assurance, maintenance, and improvement of quality - Improvement of production lines - Increased yield - Reduction in labor - Space-saving *For more detailed information, please refer to the related links. Feel free to contact us for more details.*

Company：名古屋精工
Price：Other

Visual Inspection Equipment
Visual Inspection System

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[Free Offer] Comprehensive Coverage of Basic Knowledge with FAQ and Glossary on Appearance Inspection AI

【FAQ/Glossary】You can understand the overview of the FAQ and terminology related to the introduction of AI for difficult-to-understand visual inspections.

We will organize and provide FAQs and a glossary in an easy-to-understand manner for those considering the introduction of an appearance inspection AI system. This content is essential for companies that have already implemented appearance inspection and those that are considering doing so in the future. The appearance inspection AI system is a powerful tool designed to dramatically improve quality control in manufacturing. Our AI technology utilizes advanced image analysis and machine learning algorithms to detect defective products quickly and accurately. It achieves a highly transparent decision-making process through Explainable AI (XAI) and reliable quality assurance through Quality Assurance AI (QAAI). Furthermore, it can build high-precision models from a small amount of data using data augmentation techniques. It has the flexibility to learn from images taken with various cameras and can adapt to different imaging conditions. It maintains consistent detection accuracy even with images captured in different environments, such as those using rule-based image inspection, significantly improving factory production efficiency.

Company：コーピー本社
Price：Other

Image analysis software
Visual Inspection System

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Replace visual inspection with AI! Appearance inspection AI 'TDSE Eye'

The appearance inspection AI system using good product learning achieves efficiency and cost reduction in parts inspection, food inspection, and equipment inspection!

Our company has been solving various challenges through an appearance inspection system utilizing AI. We can automate inspections and checks that relied on human eyes, such as equipment maintenance and product quality verification, leading to increased efficiency and cost reduction. TDSE has a proven track record of supporting data utilization across various industries. For example, in the equipment maintenance of a major power company's transmission and distribution network, AI has significantly shortened the inspection time for transmission lines spanning approximately 14,500 kilometers. We have achieved results such as reducing costs that were previously incurred through visual inspections. In recent years, we released the appearance inspection AI system 'TDSE Eye,' which can be built by training it with just a small number of normal images (images of good products). With the AI model built on the cloud, a high-performance anomaly detection AI is always available, allowing for easy system implementation and operation without specialized knowledge. *Various materials such as "Examples of AI-based appearance inspection," "TDSE Eye product documentation," and "Technical explanation materials" can be viewed immediately via PDF download.*

Company：TDSE
Price：Other

Visual Inspection Equipment
Visual Inspection System

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JTG Lab

The first step towards automating visual inspections – Please consult us about imaging and AI verification –

At JTG Lab, we provide "imaging verification," which serves as the basis for decision-making in AI visual inspection automation, and "AI learning verification," which uses images to actually conduct AI training and verify whether the AI can learn the criteria for determining good or bad quality. Depending on your needs, we can also propose a complete set of equipment for fully automated or semi-automated solutions after these verifications. 【What JTG Lab Can Do】 ■ Imaging Verification We prepare various industrial cameras and lighting to verify whether it is possible to capture images of the products to be inspected and the defects to be detected. We check the imaging environment to ensure that the AI can easily learn and judge the products and defects we have discussed in advance. ■ AI Learning Verification By using images obtained from imaging verification or images that you already possess, we train the AI to learn the characteristics of normal and defective items, verifying whether it can make correct judgments. ■ Verification with Existing Equipment Typically, imaging verification is conducted on a desktop, but for some products, imaging can only be done within existing production lines. In such cases, we will install cameras and lighting in locations within the actual production line where imaging is possible to conduct the verification.

Company：JTG
Price：Other

Visual Inspection Equipment
Visual Inspection System

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Visual Inspection System Product List and Ranking from 34 Manufacturers, Suppliers and Companies | IPROS GMS

Visual Inspection System Manufacturer, Suppliers and Company Rankings

Visual Inspection System Product ranking