Crowdsourced Intelligence for National Special Security Events (NSSE)
Anomaly Federal’s crowdsourced intelligence (CROSINT) mobile application “NSSE” is live in the App Store and Google Play. The solution turns every person with a smartphone into an edge sensor to detect, identify and geolocate UAS, reporting data one direction to the command center of your choosing. This mobile app can be replicated, white-labelled and tailored for usage for any type of event, big and small.
Computer Vision for Automated UAS Detection
The CV pipeline harnesses semantic sky segmentation and automated labeling to curate training data, then trains edge-deployable detectors for rapid analysis. The pipeline also focuses on object behavior such as strobing and movement patterns, which feed into object identification and threat scoring.
crowdsourced network is alive today
- 530K skywatchers
- 50K reports received
- 2,264 incursion alerts
General Guillot, Commander Northcom
“The most prevalent and growing threats include small unmanned aerial systems that are being employed inside the US against civilian and military infrastructure in ways that were not possible even just a few years ago”
Optional Semantic Segmentation
- Ground exclusion to reduce false positives and boost detection precision.
Real-World Dataset
The U.S. combatant commands are facing next-gen aerial threats that encroach on restricted military airspace and critical infrastructure sites. There are sensor gaps in detecting objects that fly at low altitudes, have small cross-radar sections, unusual flight patterns, and don’t emit signatures. Anomaly Federal (AF) is laser focused on detecting these aerial objects, in both CONUS and OCONUS situations.
General Guillot, Commander Northcom
“Sensor gaps continue to exist when it comes to identifying small, low altitude objects”
Incursions by unified UAS in CONUS airspace
The U.S. combatant commands are facing next-gen aerial threats that encroach on restricted military airspace and critical infrastructure sites. There are sensor gaps in detecting objects that fly at low altitudes, have small cross-radar sections, unusual flight patterns, and don’t emit signatures. Anomaly Federal (AF) is laser focused on detecting these aerial objects, in both CONUS and OCONUS situations.
