Skip to main content
  1. Home
  2. Emerging Tech
  3. News

Flir’s stealthy drones will help Army vehicles spot enemies in the distance

Add as a preferred source on Google
FLIR Systems

For as long as there has been warfare, there have been reconnaissance scouts, sent out to survey the scene and report back to their commanders about enemy troops, prevailing conditions, and more. That same information is as useful today as it’s ever been, although the technology has changed a whole lot along the way. Case in point? The Black Hornet Vehicle Reconnaissance System, a new unmanned nano drone which can be deployed — either solo or in a group — to find and identify threats along a planned military route. It can then feedback 360-degree elevated information in real time from a radius of up to two kilometers.

“A typical scenario is when an armored or non-armored mobilized combat patrol moves into an hostile urban environment, where they have little or no information on where the threat would come from, where the potential enemy would be hiding, and where they could be expecting an ambush,” Ole Aguirre, senior director of Unmanned Systems and Integrated Solutions at manufacturer Flir Systems, told Digital Trends. “By launching the Black Hornets from a safe distance before moving the patrol into an exposed street or alley, the NUAVs provide live video feeds in day or night conditions to observe rooftops, crossroads, dark alleys or even go inside buildings to seek out enemy snipers or assault teams.”

FLIR Systems

The Black Hornet can be launched from a special external mount, which can be attached to any military vehicle. This includes armored personnel carriers, infantry fighting vehicles, and light utility vehicles. The mount holds three of the UAVs, which can be easily deployed with the touch of a button. Unlike other drones, the Black Hornet is designed to be silent, thereby not giving away its position while collecting intel on enemies or subjects of interest.

Recommended Videos

“The Flir Black Hornet VRS is designed to be integrated onto any vehicle, ideal for mounted Army, Marine, or special operations forces combat or reconnaissance teams,” Aguirre continued. “Key markets are the United States or NATO vehicle modernization programs, like the Joint Light Tactical Vehicle (JLTV) Program or Stryker Modernization Program. It is also designed to meet key ISR capability gaps for small special operations units operating detached from larger combat support elements.”

Luke Dormehl
I'm a UK-based tech writer covering Cool Tech at Digital Trends. I've also written for Fast Company, Wired, the Guardian…
Yet another study says AI is bad for elections, and the rabbit hole gets worse
AI may be an election bomb waiting for someone to light the fuse
Voters cast their ballots on Election Day

Another election, another study has concluded that asking an AI chatbot for political guidance is a spectacularly bad idea. Research conducted during Hungary’s 2026 parliamentary election found that ChatGPT and Google Gemini offered not just inaccurate but also inconsistent and unreliable voting advice. The chatbots misclassified voter profiles, overlooked relevant parties, recommended parties absent from the ballot, and sometimes produced materially different answers when given the same information repeatedly.

AI keeps failing the voter test

Read more
Samsung’s humanoid robot ambitions are real, but factories come first
Samsung’s new robotics division has humanoids in its sights, although its immediate business is far more practical factory automation
Robot Touch Human Finger

Samsung wants a place in the humanoid race, but its new robotics push begins with machines built for factories rather than homes.

The CEO-led RX robotics division will initially focus on manufacturing robots. Samsung has separately identified humanoids as a priority, although it hasn’t announced a commercial model or explained where one fits into the division’s immediate plans.

Read more
The future of AI may depend on this one behind-the-scenes change
Running Claude on Android.

Whenever a new AI model arrives, it's easy to get caught up in the bells and whistles. We talk about how much smarter it is, how quickly it answers questions, or how realistic its images have become. But here's the thing: none of that matters much if the AI can't reliably work with the apps and services people use every day.

That's why an upcoming update to the Model Context Protocol (MCP) caught my attention. It isn't a new chatbot or a fancy AI model. In fact, most people will never even know it's happening. But it could quietly make the AI ecosystem a lot healthier. If you've never heard of MCP before, don't worry. Think of it as a shared language that lets AI assistants safely talk to apps like Gmail, Slack, calendars, databases, and countless other services. Instead of every company inventing its own way to make those connections, MCP gives everyone a common rulebook.

Read more