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Visual inspection equipment×Musashi AI - List of Manufacturers, Suppliers, Companies and Products

Visual inspection equipment Product List

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[Company Information] Musashi AI Corporation

Creating innovation in production sites through manufacturing and AI, allowing people to engage in more human-centered work.

Implementing AI in manufacturing with the philosophy of 'More human-like work for people,' we are working on innovation in manufacturing. In the manufacturing field, products are shipped to customers after going through processes such as transportation, processing, and inspection. Among these, processing is the core of manufacturing, where human skills and judgment create added value, while transportation and visual inspection involve repetitive tasks that become high-load work over long periods. However, humans are inherently creative beings. By automating repetitive tasks, we are challenging ourselves to create an environment where people can engage in meaningful, human-like work that allows them to create new things for the future and transform their jobs. We aim to continue providing new value widely in manufacturing sites around the world. [Business Description] ■ Manufacturing and sales of AI visual inspection machines, unmanned transport vehicles, etc. *For more details, please refer to the PDF document or feel free to contact us.

  • Instrumentation and Control Systems

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Detects tiny scratches of about 0.1mm in just a few seconds! AI visual inspection machine.

Instantly identify minor scratches! We provide total support for AI inspection that can be used in manufacturing sites, from detection to implementation!

As IoT and robotics advance, and in manufacturing environments where there is a constant demand for productivity, efficiency, and speed, do you face any of the following issues in visual inspection of production lines? - "There is variability in accuracy with visual inspections." - "I want to increase the speed of the inspection line to improve productivity." - "I want to adopt visual inspection but don't know what to do." - "It takes time to extract NG (non-conforming) judgments." Our "AI Visual Inspection Machine" not only reduces long hours of high-load work but also provides total support from preparation for implementation to installation. Musashi, with over 80 years of experience in manufacturing, will build an imaging environment tailored to each component using unique know-how cultivated through AI and manufacturing. **Features** - Imaging environment construction - Annotation (creation of training data) - Unique algorithms & GUI - Edge device selection *For more details, please refer to the PDF document or feel free to contact us.*

  • Visual Inspection Equipment

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Everyone is curious! Until the introduction of the AI appearance inspection device - Step 3 -

Introducing Step 3 of the 3-step process: the implementation phase for mass production equipment! We will design, manufacture, and install the visual inspection machine for the production line.

Step 3, "Implementation Phase for Mass Production Equipment," involves the design, manufacturing, and installation of AI visual inspection machines to be introduced into the production line. Musashi, with over 80 years of experience in the manufacturing industry, will design a custom machine tailored to the customer's production site and provide support until the line is operational. The duration will be approximately 2 to 6 months (subject to variation based on the customer's equipment specifications). 【Flow】 ■ Equipment specification meeting @ 2 companies ⇒ Equipment design @ Musashi AI ⇒ Equipment specification approval @ customer ⇒ Equipment manufacturing @ Musashi AI ⇒ Installation on-site @ Musashi ⇒ Line operation @ 2 companies After completion, we will provide software and hardware support as needed.

  • Visual Inspection Equipment

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【Specification Table】Neural Cube *Free demo units available for loan

Achieving AI implementation in manufacturing sites with "Plug and Play".

This is the specification sheet for our product "Neural Cube." 【Features】 ~Significantly reduces the effort required for implementation~ ■ Equipped with NVIDIA Jetson-TX2 ■ Applications necessary for AI implementation are pre-installed, eliminating the need for environment setup ■ Software development can be programmed in a unified language, Python ■ Compact and durable design that can be used in various locations ・Operating temperature range: 0° to 45° ■ User-friendly interface ports ・Complete with interfaces necessary for manufacturing sites ・Designed to ensure that communication speed is not affected even when multiple connections are made *For more details, please download the PDF or feel free to contact us.

  • Other image-related equipment

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【Detailed Description Document】 Neural Cube *Free demo units available for loan

Achieving AI implementation in manufacturing sites with "Plug and Play".

This is a detailed description of our product "Neural Cube." 【Features】 ~Significantly reduces the effort required for implementation~ ■ Equipped with NVIDIA Jetson-TX2 ■ Applications necessary for AI implementation are pre-installed, eliminating the need for environment setup ■ Software development can be programmed in the unified language Python ■ Compact and durable design that can be used in various locations ・Operating temperature range: 0° to 45° ■ User-friendly interface ports ・Complete with interfaces necessary for manufacturing sites ・Designed to ensure that communication speed is not affected even with multiple connections *For more details, please download the PDF or feel free to contact us.

  • Weighing Control

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[Basic Data] Application of Deep Learning to Visual Inspection

Comparison between humans and Deep Learning (AI) application in visual inspection.

This is a comparison document between humans and AI regarding the introduction of AI visual inspection.

  • Image Processing Equipment

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Everyone is curious! Until the introduction of the AI appearance inspection device - Step 1 -

Introducing Step 1 of the 3-step process, the "PoC Phase"! We will start with desk verification using image data to determine if discrimination is possible with AI.

Step 1: The "PoC phase" refers to the stage where we receive physical sample products and conduct a proof-of-concept experiment to determine whether it is possible to classify them as OK or NG using image data. The duration is approximately three months from the time the sample products are sent. 【Flow】 ■ Image capture ⇒ Annotation (creation of training data) ⇒ Algorithm generation ⇒ Verification We will assess whether the improved accuracy of the algorithm contributes to the verification phase. After completion, we will provide a detailed report on the PoC results, including proposals for on-site implementation. *For more detailed information, please download the PDF or feel free to contact us.

  • Image Processing Equipment

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Everyone is curious! Until the introduction of the AI appearance inspection device - Step 2 -

Introducing Step 2 of the 3-step process: the verification phase with a simple jig! We will verify the challenges of introducing it into the production line at the customer's site and the actual usability.

Step 2, "Verification Phase with Simple Jigs," refers to the stage where, after confirming that sufficient accuracy has been achieved in the PoC phase, we manufacture simple jigs tailored to the target components and verify the challenges and actual usability when introducing them into the production line at the customer's site. The duration is approximately 1 to 3 months. [Flow] ■ Simple jig production (lighting, camera, GPU) @ Musashi AI ⇒ GUI development @ Musashi AI ⇒ On-site TRY @ Customer ⇒ Accuracy confirmation @ Customer * GUI: An interface that allows the customer to adjust parameters such as thresholds. By conducting the TRY at the customer's site, we will identify challenges in the production line (such as residual cleaning from previous processes, lighting conditions within the factory, contamination, etc.) and confirm and build an AI that can be used in the actual field. After completion, if you are satisfied with the accuracy, we will proceed to discussions on specifications, design, and manufacturing of the inspection equipment with an eye toward actual implementation in the field.

  • Image Processing Equipment

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