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  3. コーピー 本社
  4. [News] Selected for IT Implementation Subsidy 2024 - Appearance Inspection AI and Data Management Solution
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  • Feb 20, 2024
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Feb 20, 2024

[News] Selected for IT Implementation Subsidy 2024 - Appearance Inspection AI and Data Management Solution

コーピー コーピー 本社
Corpy Inc. (hereinafter referred to as "our company") has been selected for the IT Implementation Subsidy 2024 with "Confide for Factory," which includes AI for visual inspection and data management solutions. Overview of the selected project: - Project name: IT Implementation Subsidy 2024 (Regular category) - Application period: Starting from February 16, 2024 (Friday) to May 20, 2024 (Monday) at 17:00 * The above is until the third deadline. Subsequent schedules will be updated as needed. - Project implementation period: From the grant decision to November 29, 2024 (Friday) at 17:00 - Target products: AI for visual inspection, data management solutions * For details, please refer to the "Related Links." - Subsidy amount: Between 50,000 yen and less than 1.5 million yen (subsidy rate within 1/2) Purpose of the project and provided solutions: Our company provides a platform aimed at improving productivity and efficiency in manufacturing and logistics sites for small and medium-sized enterprises (SMEs) by leveraging the latest technology to promote digital transformation (DX). By utilizing the IT implementation subsidy, we can introduce AI services used by large companies at a lower cost, enabling SMEs to engage in DX in the manufacturing industry. Contact information: confide@corpy.co.jp
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【【品質管理者向け】AIによる外観検査とデータ管理ソリューション.jpg

AI-Based Visual Inspection and Data Management Solutions for Quality Managers

Attention: Improve work efficiency with the automation of image inspection! Easily and high-quality implement good product detection and defective product image generation with AI that provides understandable reasoning.

This is an AI solution designed for the manufacturing industry. It dramatically improves the automation of factory inspection tasks, enhances work efficiency, and increases the accuracy of quality control. It centralizes the generation and management of NG (non-good) data, streamlining the creation and management of AI training data. Additionally, it standardizes the skills required for inspection tasks, achieving skill-less operation. Key Features: - Intuitive operation: No need for AI expertise, easily operable by anyone. - Learning with a small amount of data: Efficient learning enables the quick construction of high-precision models. - Visualization of decision-making rationale: XAI technology clarifies the rationale behind AI decisions, enhancing reliability. - Generation and management of defective product data: Reduces the burden of data collection and optimizes quality control. Target Audience: - Production Management Department: Planning and managing production schedules, improving production efficiency, reducing defective products. - Producers: Optimizing production processes, introducing new technologies, maintaining equipment, utilizing automation technologies. - Quality Control Department: Conducting product quality inspections, detecting and addressing defective products, establishing quality assurance processes, confirming compliance with standards. - DX Promotion Department: Promoting digital transformation, implementing AI, improving operations through data analysis. - Companies that have already introduced image inspection machines and are facing issues with over-detection. *Please contact us for more information.

  • Visual Inspection Equipment
  • Image Processing Software
  • Image analysis software

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【製品資料】AI学習の生産性を劇的に向上!データ生成管理ツール.jpg

【Product Information】Dramatically improve the productivity of AI learning! Data generation/management tool

A must-see for those considering AI implementation! Streamline NG image generation and data management; preprocessing for machine learning has become surprisingly easy!

This is the ideal data management tool for manufacturers considering AI implementation. Preparing AI training data becomes easier, leading to reduced inspection time and lighter workloads. Challenges include: - Complex data management: Organizing image data is difficult, resulting in longer AI training times. - Insufficient NG data: There is a lack of defective product data, which hinders AI accuracy. - Difficult quality control: Data quality is inconsistent, causing variability in inspection results. Implementation is very simple! - Install the tool: Easy setup with cloud provision. - Upload data: Upload existing image data to the tool. - Generate NG samples: Automatically generate the necessary defective product data. - Train AI: Effectively train AI with high-quality data. Also perfect for those who have already implemented visual inspection! - Streamlined data management: Easily integrate and manage current visual inspection data. - Quality improvement: Support for evaluating and enhancing the quality of existing data. - Flexible response: Smooth integration with existing visual inspection AI. - AI validation support: Verify the performance of the AI model after implementation and assist with optimization. For more details, please refer to the 'Related Catalog' and contact us.

  • Image analysis software

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Related catalog(3)

[Company Introduction] Copy Inc. / Company Information

[Company Introduction] Copy Inc. / Company Information

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Catalog: Confide for Factory: Visual Inspection AI

Catalog: Confide for Factory: Visual Inspection AI

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[Catalog] Confide for Factory: Data Generation/Management Solution

[Catalog] Confide for Factory: Data Generation/Management Solution

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AAEON ArrowLake equipped industrial COM module Type 6 standard [COM-ARHC6]

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Features: ● Equipped with Intel Core Ultra 9 285H/7 255H/5 225H ● DDR5 SODIMM x 2 (up to 128G) (sold separately) ● VGA Switch DDI x 1, LVDS colay eDP x 1, DDI x 2 ● USB 2.0 x 8, USB 3.2 Gen 2 x 4 ● PCIe [x1] x 4, PCIe [x4] x 1, PEG [x8] + [x4] + [x4] ● 2.5GbE x 1 ● COMe Type6 standard, 95mm x 95mm size ● Operating temperature -20~70℃ ● Sold separately ECB-920A: Development carrier board COM-MTHC6-FAN01: CPU fan COM-MTHC6-HSP01: Heat spreader (※ Heat dissipation is required in the enclosure)

Jul 23, 2026

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AAEON ArrowLake equipped COM-HPC R1.2 Mini specification【HPC-ARHm】

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Features: ● Equipped with Intel Core Ultra 7 255H/7 155H/5 225H/5 125H ● LPDDR5x 16GB/32GB/64GB onboard ● M.2 NVMe 256GB onboard ● USB 2.0 x 8, USB 3.2 (10Gbps) x 4 ● PCIe Gen 4 [x8] x 1, PCIe Gen 3 [x1] x 4, PCIe Gen 3 [x4] x 1 (2 lanes co-lay with SATA; BOM option) ● 2.5GbE x 2 ● COM-HPC Mini standard, size 95mm x 70mm ● Optional items ECB-980A: Development carrier board HPC-ARHm-FAN01: CPU fan HPC-ARHm-HSP01: Heat spreader (Note: heat dissipation is required in the enclosure)

Jul 23, 2026

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AAEON Industrial COM Express with Qualcomm QCS6490【uCOM-Q6490】

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Features: ● Processor: Qualcomm QCS6490 with Arm Cortex-A78 ×4 + Cortex-A55 ×4 (Octa-core) up to 2.7GHz ● LPDDR5 onboard memory (up to 8GB) ● Display: MIPI-DSI (4 lanes) ×1, DisplayPort ×1 ● USB 2.0 ×4 (one port supports OTG), Gigabit Ethernet ×2

Jul 23, 2026

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Wooden CLT flooring at summer construction sites | Hyper CLT flooring

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In civil engineering sites during extreme heat, the surface temperature of the ground plates and the heat reflection significantly affect the working environment. In particular, steel plates tend to retain heat when exposed to sunlight, posing challenges for workers' heatstroke prevention and safety management. Hyper CLT ground plates are civil engineering materials utilizing wood CLT. As wooden ground plates, they can be used for temporary roads, access routes, heavy machinery work yards, material storage areas, and pedestrian pathways, making them a versatile alternative to steel plates in various civil engineering sites. In actual sites, there are cases where the surface temperature differs by about 20 degrees compared to steel plates, making them effective as a solution for heat prevention and reflection suppression. The 5×10 plate weighs approximately 230 kg, and the 5×20 plate weighs about 460 kg, making them lightweight and easy to handle even with small machinery, which helps reduce the burden of transportation, installation, and removal. They are materials that easily promote noise reduction, CO2 fixation, and environmental consideration unique to wood. Registered as a Ministry of Land, Infrastructure, Transport and Tourism NETIS technology "TH-250021-A," they can also be utilized for creative ideas and safety measures in public works. They are recommended for companies looking to reassess the summer site environment. We also accept inquiries for consultations and requests for materials tailored to site conditions. We can propose solutions for temporary plans during summer for both public and private civil engineering projects. Please feel free to consult with us.

Jul 23, 2026

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Metal Crack Repair: MS Method for Repairing Cracks and Fractures in Machinery Equipment

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Metal cracks are one of the concerns in equipment maintenance operations. Conventional welding methods for repairs often change the base material around the crack due to heat, leading to residual stress and deformation, which constantly carries the risk of "crack recurrence" and "secondary damage." Hinode Waterworks Co., Ltd.'s "Mechanical Stitching Method" is a new technique that allows for the repair of metal cracks without applying heat. By using special bolts and reinforcement plates, the crack is physically removed without affecting the base material at all. Repairs can be made even in environments where open flames cannot be used. Since no heat is applied, the disassembly of equipment is minimized. For more details, please contact us or download the catalog.

Jul 23, 2026

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