Signal intelligence
Radio-frequency recordings present many data challenges: long recordings, short and rare events, large archives, and the need for high-quality labeled data before AI models can be trained. Ezako's signal-intelligence applications take into account these principles.
Applying the Ezako approach to RF data
Labeling on the spectrogram
RF emissions can be treated as events in time and frequency. Analysts can mark events on the spectrogram, assign labels from a hierarchical taxonomy, and record custom fields for each event.
Signature search
Search an archive for a reference signature, using an existing labeled event or a signature defined in the application. Search results can be reviewed on a sample, false detections excluded, and the remaining results converted into a labeling task.
Human validation
Models pre-label. Analysts decide. Every label records its author, providing a traceable link between automated detection and human validation.
On-premises and offline
Deployed on the customer’s infrastructure, including air-gapped networks. No data leaves the site.
See what Ezako can do with your data
Describe your signals and your requirements to arrange a demonstration.