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SECO-RSL10-TAG-GEVB: RSL10 Asset Tag

SECO-RSL10-TAG-GEVB: RSL10 asset tag

 
Overview



The RSL10 Asset Tag is an advanced multi-sensor node designed for a variety of industry 4.0 asset tracking and monitoring applications including warehouse, retail management, hospital equipment management and logistic chain monitoring.
Combining environmental sensors and 3 axis accelerometer and support for Bluetooth® Low Energy connectivity or real time location services (RTLS), the tag can be used to provide valuable data and insights into an asset’s state of being and location. The RSL10 Asset Tag offers an industry-leading extended battery life of ~five years with no compromise on duty cycle, a significant improvement compared to similar devices. This is made possible by the ultra-low-power consumption of the RSL10 radio System-on-Chip (SoC), advanced gate switching FPF1005, low power environmental sensors, and optimized firmware.

The RSL10 Asset Tag is supported by a customized CMSIS package with a variety of asset management use-cases and modes of operation including data-logging, continuous sensing and event-trigger.
Features and Applications


Features
Multi-Sensor Bluetooth LE Ultra Low power sensor node
Periodic advertising
Triggered mode (Acceleration threshold)

Real Time Locating Services (RTLS) provided by the Quuppa Intelligent Locating System™
Unprecedented low power consumption for 5 year battery life
Environmental sensing technology (temperature, pressure, accelerators)
Small form Factor (27mm diameter)
Advanced Sensor Management
Ultra low leakage gate switches
Ultra low power 17µJ active
150nJ per second in standby mode

Firmware Over the Air (FOTA) updates
Supported by the RSL10 Sensor Beacon mobile app (GooglePlay™)





Applications
Real-time Localization System
Hospital Asset Tracking
Worker Safety
Warehouse Management
Social Distancing and Personal Safety
Industry 4.0 Asset Monitoring and Tracking
Retail Asset Management
In-Building Climate Control
Food Chain Monitoring
Cold Chain Monitoring
Green House Management
Edge Predictive Maintenance

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