Miami has become the testing ground for a new approach to drone detection that could turn existing 5G infrastructure into part of an aerial security system.
Verizon and Lockheed Martin demonstrated NetSense in the Miami area in July, combining Verizon's existing 5G spectrum with artificial intelligence and radio-frequency technologies to detect, track and monitor drones in real time.
The system brings together technology from Verizon, Lockheed Martin, Nvidia, ODC, Keysight Technologies and Astris AI.
The idea is relatively simple but potentially significant: instead of building an entirely separate network of sensors to detect drones, NetSense uses infrastructure that already exists.
Turning 5G Into a Sensor
NetSense uses Verizon's 5G network spectrum alongside Nvidia's AI Aerial platform, ODC's AI-native radio access network software and Keysight's radio-frequency simulation technology.
Lockheed Martin provides additional systems and algorithms that analyze disturbances in radio-frequency signals.
Those signals can be used to identify drones, track their movement and predict where they are heading.
According to Lockheed Martin, the Miami demonstration showed that NetSense could detect and maintain a drone track without requiring modifications to existing cellular radio deployments.
That is one of the more interesting aspects of the technology.
The potential value isn't simply better drone detection. It is the possibility of turning a distributed commercial communications network into another layer of infrastructure capable of sensing what is happening in the surrounding environment.
Why Drone Detection Is Becoming More Important
Small drones have become increasingly common around airports, stadiums, industrial facilities and other sensitive locations.
That creates a security problem for organizations that need to know when an unmanned aircraft enters restricted or potentially dangerous airspace.
Traditional counter-drone systems can involve dedicated radar, cameras, radio-frequency sensors and other specialized equipment.
NetSense is pursuing a different model by combining commercial wireless infrastructure with AI-based signal analysis.
The system is designed to detect and track drones and provide real-time alerts, potentially giving operators more information about an aircraft without requiring a completely separate communications network.
Miami Was the Test Case
The fact that the demonstration took place in Miami is significant for the city's broader technology ecosystem.
South Florida has airports, major sports venues, hospitals, ports, power infrastructure and dense urban environments where drone activity can create both commercial and security challenges.
Those same characteristics make the region a useful environment for testing technologies designed to operate across complex real-world settings.
The technology could eventually have applications around airports, power plants, stadiums, schools, hospitals and other critical infrastructure, as well as government facilities.
For Miami, that puts AI, telecommunications and physical security increasingly into the same technology conversation.
The AI Layer Matters
The system also illustrates a broader shift in how AI is being applied to infrastructure.
The underlying 5G network isn't being replaced. Instead, AI is being used to interpret information that the network can already observe.
That distinction could become increasingly important as companies look for ways to extract more value from expensive infrastructure investments.
Wireless networks traditionally exist to move data from one location to another. Systems such as NetSense suggest they could increasingly become sources of environmental intelligence as well.
The challenge will be proving that these systems can reliably distinguish drones from other radio-frequency activity and maintain accurate tracks in complicated environments.
What This Means for Miami
For Miami's growing technology and infrastructure ecosystem, NetSense is an example of AI moving beyond software and into the physical systems surrounding the city.
The technology could eventually give airports, stadiums, hospitals and other critical facilities another tool for monitoring their airspace without requiring entirely new communications infrastructure.
It also creates opportunities for companies working at the intersection of AI, telecommunications, cybersecurity, robotics and infrastructure.
The bigger question is whether networks built primarily for connectivity can become intelligent sensing systems as well.
Miami's demonstration suggests that experiment is already underway.
