airflow sensor

What’s an Airflow Sensor and Why It’s a Big Deal in UAV Safety?

Airflow sensors may not get much attention. But when it comes to staying airborne in unpredictable conditions, they’re one of the most important components on the drone. And you’d be glad to have that tech on board when the GPS signal goes down. 

Learn how airflow sensors work and where they make the biggest impact in keeping UAVs safe and steady.

What Is an Airflow Sensor? 

An airflow vector sensor tells your drone how the wind is behaving around it, e.g., how fast it’s blowing and from which direction. Mounted near the front of the airframe, it tracks airspeed, angle of attack, and sideslip, and passes the data on to keep the drone steady and responsive, regardless of the flight conditions. 

There are plenty of different types of airflow sensors on the market: 

  • Static pilot tubes measure the difference between dynamic and static air pressure to calculate airspeed and airflow direction. 
  • Hot-wire anemometers detect changes in airflow by measuring heat loss from heated wires exposed to wind. Other anemometers use omnidirectional hot ball probes for assessing airflow induced by drone rotors. 
  • Ultrasonic anemometers time how fast sound waves travel between sensors to determine wind speed and direction. Because there are no moving parts to wear out, these have a good service life. 
  • MEMS differential pressure sensors determine airspeed by comparing pressure from two different points on the drone’s body, usually via a tiny onboard chip. They’re lightweight, fast, and power-efficient, which makes them a smart fit for compact drones with limited battery lifespan.

In each case, the drone takes that airspeed data and blends it with inputs from its IMU to give you a cleaner picture of how it’s moving and what it would take to keep it on track. 

Why Drones Need Airflow Sensors

If you’re planning to fly beyond visual line of sight (or anywhere with unreliable GPS), an airflow sensor gives you a huge advantage. It supplies real-time data drones need to stay balanced, fly straight, and make it home, even when visibility drops or satellite signals cut out.

Thanks to airflow data, drone pilots can: 

  • Stay stable in turbulent air. With real-time crosswinds, gusts, and airflow disruptions, you can correct orientation and hold course even through the wildest tempest. 
  • Reduce stall and drift. Angle of attack and sideslip monitoring help avoid flight envelope violations during sharp maneuvers or slow-speed loitering, for example, during UAV mapping or border patrol missions
  • Achieve smarter autonomy. Airflow data can be meshed with other INS readings and used to train AI flight algorithms for automated take-off, hovering, return-to-launch, and even full flight route execution.

Effectively, airflow provides real-time feedback on the environmental conditions, helping you maintain flight stability and accurate positioning where other sensors fall short.

Sample Use Cases for Airflow Sensors 

  • Tactical ISR: In GPS-contested airspace, airflow data helps drones hover precisely and adjust for wind shifts that could compromise surveillance angles.
  • Search & Rescue: Inside collapsed structures or narrow valleys, real-time airflow sensing keeps UAVs from drifting or crashing due to unexpected turbulence.
  • Maritime and Desert Ops: With no visual landmarks and unreliable GNSS, airflow data combined with INS ensures orientation and controlled navigation over water, sand, or snow.

Airflow Sensors vs GPS Reliance: A Game Changer

Most drones rely heavily on GPS for navigation, but that’s not always a safe bet. GPS spoofers can be bought at online marketplaces, and signal jamming has become a common occurrence far away from the active conflict zones. Not to mention the general signal unavailability in remote zones or near high-EMI equipment. When the signal is down, a drone without a backup plan is just expensive hardware waiting to drift off course.

At Bavovna, we’ve been building drone navigation solutions to compensate for these shortcomings.  Our new 360-degree airflow sensor provides airspeed data with an accuracy of ±2% and wind vector measurement within ±5 degrees. When paired with data from an inertial navigation system (INS), they give the drone the ability to “feel” its way through the air, measuring how fast it’s flying, how it’s tilted, and whether it’s being pushed off course. 

And our complementary solutions, like our hybrid INS navigation kit and AirTower Mode, help you turn sensor readings into reliable navigation without any reliance on maps or GPS. 

Interceptor Drones

How Interceptor Drones Are Shaping the Future of Air Defense

UAVs are no longer just eyes in the sky. They’ve become sophisticated precision weapons and counter-weapons, too. 

As the technology has become more accessible, even starter drones can be reconfigured to carry explosives or act as self-destructing strike units with a bit of tinkering. Between 2019 and 2023, drone attacks by violent non-state actors — terrorist groups, insurgents, drug cartels — have more than doubled. The 2024 suspicious drone activity in New York City and across New Jersey has revealed just how vulnerable many urban environments can be to malicious UAVs. 

Traditional air defense solutions often fall short, as many UAVs are below their detection range. Plus, many react too slowly and cost too much to deploy at scale.  The rapidly emerging alternative is interceptor drones — a low-cost, high-precision, multi-purpose 

air defense platform.

What Is an Interceptor Drone? 

An interceptor drone is a purpose-built UAV for hostile drone detection, pursuit, and destruction.  Unlike regular tactical ISR drones, these platforms are designed for active engagement. Many models include advanced sensing and autonomous navigation capabilities for high-speed maneuvering, automatic target recognition, and precision hovering for threat neutralization. 

Key capabilities:

  • High-speed pursuit
  • Electronic warfare (EW) resistance
  • Autonomous targeting
  • Precision hovering
  • Adaptive flight path correction
  • GNSS-denied navigation
  • Swarm coordination
  • Multi-target engagement

Drone interceptors also come with a great range of payloads — net launchers, electronic jammers, or even kamikaze-style impactors. Many also rely on advanced navigation tech like AI-powered inertial navigation systems to safely cruise through contested, GNSS-denied zones.  

Examples of Inceptor Drones  

Ukraine has become a hotbed of interceptor drone innovation. To strengthen the country’s defences against Russian offenders, the local MilTech sector has been working on a host of new solutions. 

Ukrainian startup VARTA has recently unveiled the DroneHunter — a platform mounted with dual 12-gauge barrels and electronically triggered anti-drone rounds. It can neutralize aerial targets within a 5–20 meter range. Lightweight and easy to integrate, it requires only software calibration and basic hardware alignment.

Another Ukrainian-made solution, the Chief-1 Drone, is optimized for aerial dogfights. Its twin-barrel buckshot system, automatic target recognition, and manual or automatic fire modes make it effective against enemy FPV drones, bombers, and artillery spotters.

On the international front, Germany’s Alpine Eagle Sentinel system uses AI and edge computing to coordinate airborne sensors and interceptors. A single operator can control a swarm that detects, tracks, and disables rogue UAVs from a safe distance. The system is purpose-built for contested environments and loitering munitions.

From the U.S., DroneHunter F700 represents a different approach to drone interception. This AI-powered UAV uses net-based capture instead of destruction. Its onboard radar locks onto targets and autonomously adjusts for speed and direction. Afterwards, the UAV can intercept drones ranging from quadcopters to high-speed fixed-wing aircraft, with a human operator able to step in at any point.

How Interceptor Drones Enable Air-Tight Defense

Interceptor drones are changing the economics and agility of air defense. Unlike costly missile systems or slow-to-deploy ground-based radars, they offer real-time response at a fraction of the cost, and can adapt to new threats on the fly. 

Here’s what makes interceptor drones a game-changer for aerial defense: 

  • Cost-efficiency. One interceptor drone can take down multiple threats without expending million-dollar munitions. And expendable “kamikadze” models are relatively cheap to produce — about $300 to $2,000, depending on the configurations. 
  • Low-SWAP architecture. Compact and energy-efficient, long-wing interceptor drones can carry advanced payloads or run autonomous missions thanks to onboard edge processing units like Bavovna’s AI navigation kit
  • Real-time responsiveness. The more advanced, AI-powered models can assess and distinguish between different types of threats mid-flight and adjust targeting strategies without much delay.
  • Deployment flexibility. Many interception systems can be configured for deployment on FPV quadcopters or fixed-wing long-range drones. This enables a broader range of operational scenarios — from border patrols to base protection or event monitoring.  

Together, these capabilities enable fast, flexible, and scalable aerial defense — ideal for today’s asymmetric threat landscape.

The Next Stage — Autonomous Interception 

The future of air defense won’t be built on brute force, but on intelligent autonomy. As UAV threats become faster, smaller, and harder to predict, the next generation of interceptor drones must out-think as well as out-fly their targets. This shift is already underway. 

Bavovna’s AI Hybrid INS enables precise cruising and interception without relying on GPS. When powered by pre-trained algorithms, interception drones can operate in signal-jammed, low-visibility, or high-stress environments without a hitch. 

When autonomous navigation and hovering will be combined with the ability to detect, lock onto, and eliminate rogue drones without external commands, air defences will reach a new turning point. And with further advances in scalable architecture, drone interception systems will be adapted for swarms, mobile deployments, or even civilian event protection. 

Undeniably, exciting times are ahead for counter-drone technology as we move from stationary, often reactive, human-led detection and neutralization to autonomous, proactive anti-drone protections. 

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