LAW ENFORCEMENT
& PUBLIC SAFETY
Challenges
UAS programs must demonstrate clear standards, governance, and benefit.
Training often depends on limited availability of instructors, aircraft, and ranges.
Evidence and awareness must tie back into existing RTCC, CAD, and case systems.
How SensorOps Helps
SynDOJO – Scenario-Based UAS Training
Build search, perimeter, and pursuit scenarios around local streetscapes and terrain.
Train teams on airspace rules, deconfliction, comms discipline, and sensor use under time pressure.
Grade coverage, response time, coordination, and adherence to agency policies and procedures.
TargetModeler – Environment-Matched Datasets
Generate EO/IR datasets showing vehicles, people, and scenes that match local
conditions—urban, suburban, industrial, and rural.
Include low-light, cluttered, and partial-occlusion cases that are hard to capture consistently.
Provide labeled examples to train and tune models for search, traffic operations, or scene monitoring.
TacOS – Edge Analytics for RTCC and Field Units
Run analytics on mobile command vehicles, RTCC edge servers, or onboard UAS compute.
Publish alerts and tracks into TAK, mapping, or RTCC views as events are detected.
Continue operation in degraded comms environments, with derived data synced when links return.
Program Impact at a Glance
