Turn-Key RF Intelligence
Integrated software and hardware solution for running RF ML classification models at the edge. Includes Deepwave’s RF AI edge platform and DeepSig’s OmniSIG Engine software.
AI is a game-changer for RF spectrum monitoring. These new capabilities allow operations teams to sift through gigabytes of spectrum data in real-time at the edge and only flag what matters. But, to be effective, AI models need the right platform. A platform that can listen to the radio spectrum and think simultaneously, preferably on the network’s edge, and use AI models to deliver low-latency intelligence.
RF Signals of Interest
Pretrained models are available for the following signals of interest. Custom models may be trained using OmniSIG Studio and deployed within the AirStack ecosystem.
How it Works
Deepwave’s software and hardware platform can be pre-configured with OmniSIG. This tightly integrated solution runs OmniSIG on Deepwave’s platform, which delivers AI supercomputing at the edge in a compact software-defined radio.
The DeepSig product ecosystem supports a custom neural network for real-time identification, classification, and localization of both known and unknown RF signals. DeepSig’s products include software training for RF ML models, a repository of pre-built RF ML models, and ML model management.
OmniSIG Engine is the software application that manages ML models at the edge to deliver RF situational awareness. OmniSig Engine also provides access to models from DeepSig’s custom neural network.
Integration Details
Deepwave and DeepSig, together, make RF Spectrum Monitoring 2.0 a reality. These best-in-class technologies offer simple deployments and an it-just-works user experience, which allows AI scientists, engineers, and product teams to focus on RF insights instead of IT administration.
Take the Next Step
Learn more about how DeepSig and Deepwave’s RF ML for Edge solution can help advance your RF ML efforts.
Product Sheet