With the latest generation of smartphones and tablets in hand, more of today’s field workers have access to positioning technologies for geospatial data collection. And smartphones and tablets with professional-grade location accuracy enable capabilities for a much broader base of field workers, who can collect high-accuracy geospatial data.
As an example of this innovation, the Trimble R1 GNSS, www.trimble.com, Sunnyvale, Calif., receiver collects data and inspects or manages assets using smart devices without an integrated high-accuracy GNSS receiver. And with the optional Trimble ViewPoint RTX correction service to the R1 receiver, users can achieve reliable sub-meter accuracy. Benefits include the fact that the Trimble R1 receiver is both compact and portable, weighing only 6.5 ounces (187 grams). With all-day battery life, the receiver can be carried in a vest pocket, attached to a belt using the optional belt pouch, or pole mounted. For more flexibility, the product integrates with Trimble TerraFlex, Trimble TerraSync, and Trimble Positions mapping and GIS (geographic information system) field software.
The addition of the R1 GNSS receiver expands our portfolio to address the needs of organizations that have adopted a workplace BYOD (bring your own device) strategy for their businesses.
The Trimble R1 GNSS is a multi-constellation receiver that supports GPS, GLONASS, Galileo, BeiDou, and QZSS satellite signals. Delivered via cellular data network coverage or over satellite in remote locations, the Trimble ViewPoint RTX corrections do not need a traditional base station or VRS network, when using Trimble’s Mapping and GIS software or API (application programming interface). Additionally, the R1 receiver can leverage SBAS and VRS correction sources to achieve sub-meter accuracy.
This Trimble receiver works with iOS, Android, or Window mobile handhelds, smartphones, and tablets using Bluetooth connectivity. And along with a smart device, the receiver adds professional-grade GNSS (global navigation satellite system) geo-location capabilities to transform consumer devices into high-accuracy mobile data collection systems.
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