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Services

Data systems to meet the real-time needs of today's decision makers

The technology we use

Real Time Research (RTR) works closely with its clients in fisheries and wildlife to develop custom data collection and management systems.  Our products and services greatly improve efficiency, accuracy, and security throughout the data collection and management process. RTR's proprietary software platform, RTR Field Forms (RFF), supports the rapid development and deployment of custom data solutions.  Our system architecture integrates mobile data collection applications, centralized databases, and secure data management consoles, all having maximum flexibility in order to meet the specific needs of each of our clients. RFF provides real-time integration for a constantly growing array of digital instrumentation, including hand-held and autonomous RFID readers, GPS receivers, cameras, and scales, just to name a few. Our process in developing these systems is ​highly interactive, often involving input from both field researchers and the end-users of the data, assuring the real-time data needs of our clients are being met.

RTR specializes in applying geospatial technology to better understand the spatial and temporal relationships inherent in environmental data.  For over 20 years our multidisciplinary team of geographers, software engineers, and biologists have been at the forefront of the integration of mobile data collection with geospatial data processing and analysis, and web-based application development.  Additionally, RTR has integrated unmanned aerial systems (UAS) into our mapping and monitoring workflows to provide rapidly deployable, cost-effective, highly-accurate 2D and 3D data.  Image acquisition and surface modeling that has often been cost-prohibitive at the project level is now available as a standard toolset and deliverable with our projects.  By integrating Real Time Kinematic (RTK) global navigation satellite systems (GNSS) into our UAS projects, we can provide centimeter-accurate imagery, point clouds, and thematic maps at a fraction of the cost typically needed to collect such data.