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This system achieves traceability at the item level while optimizing and automating work instructions and maintaining inventory accuracy. It is a DX solution for WMS that enhances efficiency through a combination of AI, IoT, and RFID solutions. 【Key Features】 ● Real-time inventory management Centralizes inventory across multiple locations, always maintaining an accurate count. ● Improved work efficiency Significantly reduces work time through automation and optimization of picking tasks. ● Optimization through data analysis Analyzes accumulated data to improve inventory management and optimize business processes. ● Flexible scalability Being cloud-based, it allows for easy system expansion. ● High security Implements advanced security measures to safely protect critical data. 【Benefits of Implementation】 ● Cost reduction Reduces costs through lower labor expenses, shorter work times, and optimized inventory. ● Increased productivity Enhances productivity through improved work efficiency. ● Improved customer satisfaction Increases customer satisfaction through improved on-time delivery rates and prompt responses due to accurate inventory management. ● Visualization of management Real-time access to necessary data for management, achieving visibility in operations.
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This document introduces case studies of companies that have achieved efficiency in inspection operations and improved quality by utilizing edge AI image recognition systems. Companies that faced challenges with manual inspections, such as "taking too much time," "high burden on workers," and "delays or discrepancies in inventory due to human errors," have completed trial operations and begun implementing the system in 130 distribution centers. The effects are summarized clearly. [Other Content] ■ Benefits and mechanisms of inspection systems using edge AI image recognition ■ How to train AI with product images ■ Examples of utilizing edge AI image recognition systems ◎ Product inspection ◎ Inventory management ◎ Inbound and outbound management, etc. *For more details, please refer to the document available for "PDF download." Feel free to contact us with any inquiries.
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Our company provides solutions that help solve various challenges in factories. 【Product Lineup】 ■ Edge AI Image Recognition Solution This can be utilized for various applications such as visualizing inventory status and production progress, analyzing drawings, voice-based anomaly detection, automatic identification of products and materials, and database conversion of equipment displays. ■ IoT Data Collection Solution "U-Mate IoT Collector" Data is collected from devices, sensors, PLCs, handheld terminals, tablets, etc. It enables database conversion and centralized management, contributing to improved traceability. It is compatible with Edgecross. ■ Process Management Solution "U-Mate BT" Using a handheld terminal, it reads barcodes from work instructions, kanban, and current item tickets, allowing real-time aggregation of process results via wireless communication. It can also support automatic input via RFID as an option. *We distribute materials that outline the overview and usage examples of each solution. Please check from "PDF Download." Feel free to contact us for inquiries.
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Our company provides solutions that visualize inventory status and production progress through edge AI analysis. In addition to having almost no time lag in communication between the server and the edge, there is no need to send sensitive data to the cloud, which reduces the risk of unauthorized access. By equipping AI close to the data source, we minimize communication with the server. This contributes to improved real-time performance, enhanced security, and reduced communication costs. 【Features】 ■ Communication with cloud computing is minimized, enhancing real-time performance. ■ The amount of data exchanged during communication is reduced, leading to lower communication costs. ■ There is no need to send personal or sensitive data to the cloud. *For more details, please refer to the materials. Feel free to contact us with any inquiries.
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Our company provides solutions that visualize inventory status and production progress through edge AI analysis. In addition to having almost no time lag in communication between the server and the edge, there is no need to send sensitive data to the cloud, which reduces the risk of unauthorized access. By equipping AI close to the data source, we minimize communication with the server. This contributes to improved real-time capabilities, enhanced security, and reduced communication costs. 【Features】 ■ Communication with cloud computing is minimized, improving real-time capabilities ■ The amount of data exchanged during communication is reduced, leading to lower communication costs ■ There is no need to send personal or sensitive data to the cloud *For more details, please refer to the materials. Feel free to contact us with any inquiries.
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"U-Mate Cloud" is a system that allows for centralized management of various data related to inventory management in the cloud. By using the software "U-Mate BT," which enables management of inventory, shipping, processes, and assets, it supports on-site operations with handheld terminals while visualizing real-time inventory status. It is particularly useful in situations that require strict management, such as food raw materials with expiration dates, helping to avoid waste losses that could lead to significant damages. **Benefits of "U-Mate Cloud" and "U-Mate BT":** - Eliminates errors and improves efficiency with barcodes and optional RFID. - Understands real-time inventory data via wireless LAN. - Supports location management using BLE beacons. - With "U-Mate Cloud," inventory can be tracked regardless of whether you are in the office or on the go. *In addition to application proposal materials for "raw material inventory management systems for processed foods," we are distributing introduction materials for "U-Mate Cloud" and "U-Mate BT." Please check them out from the download section.*
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Our company offers the framework 'U-Mate IoT collector' that can automatically manage performance data from PLCs, industrial robots, and sensors in bulk. It implements a mutual hot standby function that is independent of the PC model or OS, supporting 24/7 operation throughout the year. Customization according to needs is also possible. This significantly reduces both the time and cost compared to building from scratch. 【Features of U-Mate IoT collector】 ■ Can be combined with solutions such as IoT, OCR, and RPA ■ Ensures availability during power outages or failures with mutual hot standby function ■ Time correction (NTP) for each device is also possible Our company also offers the following products and solutions: ◎ 'U-Mate AI Solution' that implements AI engines ◎ 'U-Mate Cloud' for using the U-Mate series in a cloud environment ◎ 'U-Mate BT' that enables inventory management using barcodes and RF tags *Case study materials are currently available. Please check the download button for more details.
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At a certain company, when receiving materials from vendors, they manually input various styles of product labels and delivery notes from each company (including imported goods) into their inventory system. They also attach their own labels for internal process management, but there have been instances of code input errors and, in particular, mistakes in attaching alternative products and materials. Therefore, we introduced our AI × RPA product. As a result, by pre-training on different labels for each vendor and material type, the system can automatically recognize them even when the format changes. [Effects] - Photos can be taken with handheld terminals or tablets and converted into data, with result history retained. - By pre-training on different labels for each vendor and material type, the system can automatically recognize them even when the format changes. *For more details, please refer to the PDF document or feel free to contact us.
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At K Corporation, we manually input and check various types of payslips and wage ledgers for thousands of individuals in our management system to verify the contract conditions (such as wages), compliance with labor standards law, and minimum wage for each dispatch location. We then introduced our AI × RPA products. As a result, trainees and inspectors can take photos and perform automatic checks on the spot, with the results being recorded as well. [Effects] ■ Trainees and inspectors can take photos and perform automatic checks on the spot, with the results being recorded. ■ When updating contract conditions, the responsible inspector can take photos and perform automatic checks on the spot, as well as register them in the master database. *For more details, please refer to the PDF document or feel free to contact us.
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At the major home appliance company S, inventory management for tens of thousands of home appliance products and detailed optional items (rental items) was conducted using barcodes, which took a considerable amount of time during inventory withdrawals. Therefore, we introduced our RFID × U-Mate products. As a result, the time taken to identify inventory items and register withdrawal records during the withdrawal process was reduced from about 30 minutes to just a few minutes, allowing for a much quicker operation. [Case Study] <Implementation Effects> ■ The labor required for inventory work was significantly reduced (2 people per day) → Multiple readings can be done simultaneously up to about 5 meters ■ Can share with existing labels (related functions during storage) → RF tags can be associated at the same time as storage ■ RF tags can be reused (U-Mate function) *For more details, please refer to the PDF document or feel free to contact us.
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At Takeuchi Manufacturing, which engages in machining, assembly, and prototype design and production, there was a challenge of not being able to grasp the progress of machining, leading to delays and troubles that could only be noticed by physically checking the site. In response, we implemented our "U-MateBT Inventory Management and Process Performance" and "U-Mate Comprehensive Production Management Package." As a result, we received feedback stating, "By entering the part number, we can instantly see how many of that part are at which process, and our work has drastically changed." [Case Study] <Implementation Effects> ■ We can now view the progress and work-in-progress status within the factory in real-time. ■ By utilizing handheld devices, we achieved paperless daily report management. ■ Duplicate entry of invoices has been eliminated, improving the speed of purchasing and accounting operations. *For more details, please refer to the PDF document or feel free to contact us.
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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 grade determination → IT modernization 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 blueprints related to construction, electrical machinery, and urban planning, and creation of cost estimation data *For more details, please refer to the PDF document or feel free to contact us.
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This document introduces the integration of the core system and production scheduler utilizing the performance management solution 'U-MATE BT' in manufacturing and logistics sites. It includes reference screens such as "ERP or Production Scheduler + U-MATE BT System Image" and "Importing Planning Data." Please feel free to download and take a look. [Contents (partial)] ■ ERP or Production Scheduler + U-MATE BT System Image ■ Importing Planning Data ■ Work Instruction Confirmation ■ Work Performance Input ■ Manufacturing Progress and Actual vs. Planned Time Confirmation *For more details, please refer to the PDF document or feel free to contact us.
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We would like to introduce the RFID utilization scenes for our manufacturing and logistics performance management solution, 'U-MATE BT'. During incoming shipments, automatic reading can be done in bulk upon entry, allowing for history management such as "where, when, what, who, and with which cart." Additionally, during outgoing shipments, we can prevent stock shortages, incorrect shipments, and double shipments by cross-referencing with shipping instruction data, enabling bulk automatic processing of outgoing shipments. Furthermore, it can be utilized in various manufacturing and logistics scenarios such as material issuance, process progress/product entry, material management, and location management (inventory location management). 【Utilization Scenes (Partial)】 ■ Material Issuance - Bulk reading and processing of material issuance (outgoing) to the production line can be performed. - Accurate picking and inventory management can be conducted by cross-referencing with issuance (manufacturing) instruction data in bulk. ■ Process Progress/Product Entry - The progress (performance) of each process can be accurately grasped, and the entry processing of products and intermediate inventory can be automated. - History management can be conducted, such as "where, when, what, who, and how much." *For more details, please refer to the PDF document or feel free to contact us.
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Our company will start selling the U-Mate IoT collector, which collects various data from the field in compliance with Edgecross*1, from July 2021. In addition to handheld terminals and smart devices, it can gather data from PLCs (programmable logic controllers), industrial robots, and various sensors to an edge PC for centralized management. The collected data can be transmitted to the department server in the manufacturing site for progress management, operation management, quality control, and more. It comes standard with interfaces for our packaged products (U-MateBT inventory, stocktaking, process performance, asset management). Additionally, it is also possible to transmit data to cloud-based ERP systems over the internet. 【Features】 - Compliance with Edgecross allows for easy data collection from various devices and equipment regardless of the manufacturer. - Data can be collected quickly from the manufacturing site. - Data analysis and diagnostics are performed in the edge area close to the production site, enabling real-time feedback to the production site.
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This is an introduction to solutions that achieve automation and simplification of various tasks in factories, warehouses, and offices, such as inventory management, process management, asset management, and administrative work. ◎ Performance management solution for manufacturing and logistics sites "U-MateBT" ■ Batch scan RF tags by product or lot. Reduces the hassle of data entry. ■ Real-time confirmation of inventory and process performance information from PCs and other devices. ◎ AI utilization solution "U-Mate×AI" ■ Collect information using cameras and sensors. Automates product identification, inspection, and document processing. ■ Capable of detecting abnormalities in production equipment and analyzing design drawings. ◎ Automation of administrative work using "AI×RPA" ■ Automates data input and checking tasks using image recognition technology and RPA tools. ■ Proposes a system that digitizes necessary values from images simply by photographing documents. * You can view product materials and case studies from "PDF Download." Please feel free to contact us.
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As an example of utilizing RPA×AI, in the automatic recognition and data conversion of documents (images), AI automates the following: "automatic classification of documents (images)," "data conversion of text and numbers," "content verification," and "registration into the system." Operations other than "registration into the system" can be performed even in areas without communication. Additionally, the "Inkasayama Wildflower AI Recognition Application" can be used in mountainous areas without signal reception by downloading the program and learning model. Furthermore, examples of utilizing IoT×AI for automatic judgment and data conversion are also introduced. 【Examples of RPA×AI Utilization】 <Automatic recognition and data conversion of documents (images)> ■ AI automates (1) to (4) (1) Automatic classification of documents (images) (2) Data conversion of text and numbers (3) Content verification (4) Registration into the system *For more details, please refer to the PDF document or feel free to contact us.
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