Visualizing "high-precision locations" both indoors and outdoors to support safety management, operational analysis, and automation on-site.
SoftBank's "UWB Indoor Positioning Service" is a positioning solution that utilizes UWB positioning technology to accurately determine the location of people, objects, and mobility in indoor environments. It calculates the distance based on the time of flight of radio waves between tags and anchors, allowing for the positioning of tags. Even in indoor or non-satellite environments where GPS signals are weak, it can visualize the location information of workers, forklifts, transport vehicles, and indoor autonomous robots. The acquired location information can be used for understanding the positions of workers, parts, and mobility, analyzing operational metrics such as movement distance and dwell time, detecting and notifying intrusions into hazardous areas via geofencing, and controlling AMR transport and ensuring safety in mixed robot environments. It supports improvements in safety, work efficiency, identification of bottlenecks, and the digitalization of sites in manufacturing, logistics, and construction environments.
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basic information
- Positioning method: UWB positioning - Target for positioning: Workers wearing tags, parts, forklifts, transport vehicles, indoor autonomous robots, etc. - Positioning principle: Calculate distance from the time of radio wave arrival between the tag and anchor, and determine the position of the tag - Positioning accuracy: 10 to 30 cm - Positioning dimensions: 2D/3D - Frequency band: 7.9 GHz - Applications: Visualization of movement trajectories, control assistance, detection of moving objects, area detection - Interference: Minimal impact - Tag size: 51 mm (height) × 29 mm (width) × 9 mm (depth) - Anchor size: 148 mm (height) × 72 mm (width) × 30 mm (depth) - Verification example: Positioned a tag on a Plarail for 30 minutes and confirmed a planar average error of 7.5 cm * This service includes concepts prior to formal provision. The content provided may change.
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Applications/Examples of results
■ Visualization of Indoor Workers, Forklifts, and Transport Vehicles By understanding the positions of workers and vehicles, it can be utilized to extract and improve work processes and logistics challenges. Analyzing factors such as travel distance and dwell time visualizes the operational status of the site and supports improvements in work efficiency. ■ Safety Management through Geofencing Detects intrusions into prohibited areas, crane operating zones, and proximity to vehicles, notifying of hazardous behaviors. It supports early detection of dangerous incidents for both workers and managers. ■ Indoor Autonomous Mobile Robot (AMR) Transport Control Can be utilized for initial position recognition of indoor autonomous mobile robots and AMR transport control using geofencing. It supports the automation of transport robots and safety control in mixed robot environments. ■ On-Demand Positioning in Non-Satellite Environments Can be used to determine the positions of work targets and equipment at construction and inspection sites where satellite positioning is difficult, such as under bridges or in mountainous areas. ■ Digitalization of Manufacturing Sites and Bottleneck Identification By accurately understanding the positions and conditions of workers, parts, and mobility, it identifies issues and bottlenecks. It can be used as a foundation for site optimization in conjunction with systems such as MES, ERP, and WMS.
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Support for Corporate DX Providing the four foundations necessary for digitalization 1. Communication Improvement of the work environment / Cloud-based information / Robust network communication 2. Automation Automation of routine tasks / Creation of workforce / Productivity enhancement 3. Marketing Data collection and integration / Analysis and visualization of customer profiles / Advertising distribution and effectiveness measurement 4. Security Building secure networks / Latest malware countermeasures / Utilization of secure cloud services




