Using BLE beacons and Android devices, the location detection of employees during work can visualize the time taken for tasks and actual working hours.
BLE Mobile Location allows staff to automatically detect their positions using BLE beacons installed in various locations within factories, warehouses, and hospitals, simply by performing their usual tasks on an Android device with a dedicated app installed. This information can be managed in the cloud, enabling visualization of work hours and promoting digital transformation (DX). ◆ Features of BLE Mobile Location - Reduction of implementation and maintenance costs - No need for power or network construction - Easy implementation (can be deployed in a short period) - Easy customization (standard customization available) - Coverage from data logging to position detection, real-time monitoring functions, and reporting functions - Support for integration with higher-level (other) systems from CSV to WEB-API We also offer a "BLE Mobile Location Starter Kit" service, which is ideal for verification before implementation. *For more details, please download the PDF or feel free to contact us.
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Features of BLE Mobile Location Reduction of installation and maintenance costs No need for power or network construction Easy to implement (can be deployed in a short period) Easy to customize (standard customization) Coverage from data logging to location detection, real-time monitoring functions, and reporting functions Integration with higher-level (other) systems supported from CSV to WEB-API *For more details, please download the PDF or feel free to contact us.
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For more details, please download the PDF or feel free to contact us.
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Since introducing the barcode printing system to Japan for the first time, we have consistently provided advanced solutions as a pioneer in the marking field. Based on the sales of barcode printers and related software, as well as supplies such as tags, labels, and ribbons, we have recently expanded our diverse product offerings related to Auto-ID (automatic identification) by utilizing wireless technologies like RFID and BLE, and combining image recognition with AI.