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[AI×IoT Use Case] Automatic Judgment and Dataization

[AI×IoT Use Case] Automatic Judgment and Dataization

For analyzing architectural and electrical machinery design drawings, as well as creating cost estimation data! Examples of AI engine utilization will also be introduced.

We will introduce "automatic judgment and data digitization" utilizing AI and IoT. It can be applied to the automatic identification of various types of documents, slips, applications, and contracts, as well as the digitization of numerical and textual data, and the automation of inventory management in shelves, warehouses, and outdoor storage areas. Additionally, by utilizing AI engines, automatic recognition and digitization of documents (images) can be achieved. 【Examples of Use (Partial)】 ■ Harvest sorting of crops that is difficult without experience, monitoring of growth and pests, shipping inspections, and grading → IT in agriculture ■ Automatic identification and inspection of products, goods, materials, and supplies, as well as automatic recognition of attached slips and digitization of numerical and textual data ■ Analysis of architectural, electrical, mechanical, and urban planning design drawings and creation of quantity estimation data *For more details, please refer to the PDF document or feel free to contact us.

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Engine: "JCB-KOHLER manufactured diesel engine"

Engine: "JCB-KOHLER manufactured diesel engine"

Compact, high power, fuel-efficient! A diesel engine that meets exhaust emission regulations. No time or effort required for maintenance.

The "JCB and KOHLER diesel engines" are diesel engines that cover a range of 4 to 212 kW and comply with exhaust gas regulations. Due to recent exhaust gas regulations, the industrial sector is also seeking compliant engines. Marumatecnica Co., Ltd. imports and sells engines from JCB and KOHLER. We also accept design and manufacturing of hydraulic systems (power units) equipped with these engines. For more details, please contact the person in charge below. 【Features】 ■ Complies with exhaust gas regulations ■ Compact, high output, durable, and fuel-efficient ■ Does not have a DPF that captures black smoke ■ No time or effort required for maintenance ■ Output range: JCB 55-212 kW, KOHLER 4.6-100 kW *For more information, please contact us or download the PDF.

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AI engine "SmallTrain"

AI engine "SmallTrain"

We support the development of AI suitable for commercial use.

"SmallTrain" is an AI engine that provides AI models trained generically on various types of datasets. You can input individual data to build a user-specific trained model. It streamlines the work of everyone from students to data scientists, AI researchers, and corporate engineers looking to utilize it for commercial purposes. There’s no hassle in learning how to use it. [Features] ■ No environment setup required ■ No-code (may require a few lines for the input layer) ■ Simply perform easy transfer learning *For more details, please feel free to contact us.

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DB engine "SpeeDBee"

DB engine "SpeeDBee"

300 million data registrations per second! Super fast & real-time analysis DB engine.

"SpeeDBee" is a NoSQL/KVS-type database specialized for embedded systems. In embedded systems, it enables the construction of a database suitable for unstructured data management that is independent of data types and structures. Compared to conventional in-house databases, it has enhanced features such as continuous operation in specified release areas (storage size, number of data entries), data preservation during failures such as power outages, cloud integration capabilities, encryption functions, and data sharing capabilities. [Features] - Construction of compact embedded systems that require management and search of large amounts of data - Significant reduction in development time, effort, and costs by integrating data operation interfaces - Building an embedded search system utilizing consistency maintenance, fault assurance, and search algorithms such as B-TREE, N-GRAM, Z-ORDERING, and K-TREE - Development of low-power systems with cloud integration for IoT/M2M systems *For more details, please download the PDF or contact us.

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