Drone Detection as a Service (DDaaS): São Paulo

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São Paulo just became the first city in the world to deploy a full municipal-scale Drone Detection as a Service (DDaaS) network. R2 Wireless and Ôguen Tecnologias have partnered to deliver continuous urban airspace monitoring through a managed subscription model.

The system was designed to directly address the growing use of improvised and modified drones by organized criminal groups. It is seemingly a scalable, lower-cost alternative for public safety agencies, critical infrastructure and private-sector security teams.

What I find interesting has been the detection mechanism, something I’ve been working on for the better part of 2026; so unlike traditional solutions that rely solely on known protocols or manufacturer signatures that can’t pick up Kitbash/DIY Drones, this system detects at the radio frequency that most all drones (save for fully autonomous and fiber optic) operate on with various telemetries on different radio frequencies.

This system detects commercial platforms, modified COTS, DIY FPV systems, spoofed signals, and anonymized drones regardless of encryption or disguise techniques and geolocates them, I'm assuming using triangulation, as the exact mechanism isn't detailed in the article.

This is unsurprising to me, this is a clear natural progression with service-based solutions, and C-UAS models are no different. There is a growing need for continuous monitoring, ongoing threat intelligence updates, and shared infrastructure that can support thousands of subscribers across a major metropolitan region.

Now, I have questions about the workings and accuracy of this system. Several fundamental constraints remain unaddressed in public materials, namely dense urban spectrum congestion that I have encountered in my testing with this, performance claims derived from controlled or less-cluttered environments do not automatically transfer.

Additionally, organized networks have repeatedly demonstrated rapid tactical evolution with commercial and custom drones. Once a fixed RF detection network, detection quality aside, is fielded and its approximate coverage and frequency coverage become known through open-source research, compromised users, or simple flight testing, adversaries can exploit the residual gaps and implement route selection around sensor concentrations, use autonomous modes, temporary RF silence, or fiber-optic tethered systems.

A static sensor network creates a mappable terrain set rather than a permanent solution.

Continuous software updates and “threat intelligence” are cited as mitigations, yet these are reactive measures against an adaptive opponent that iterates on the order of weeks or months.

From:
dronelife.com/2026/07/14/sao-paulo-world-first-citywide-drone-detection-service/