Skip to main content
  1. Home
  2. Emerging Tech
  3. Gaming
  4. Photography
  5. News

DJI's first FPV goggles are here — and they will control your drone, too

Add as a preferred source on Google

DJI’s new first-person view (FPV) goggles are about more than just getting a bird’s-eye view of the flight — you can control the drone with them, too. On Monday, the company announced the full specs and features of the FPV headset, called simply DJI Goggles, after teasing about the release during the launch of the Mavic Pro late last year. The Goggles are the drone giant’s first FPV headset.

The Goggles put two 1,920 x 1,080 screens in front of each eye — the equivalent of looking at a 216-inch TV from less than 10 feet away, DJI says. With the Mavic Pro, the Goggles receive 1080p transmissions at 30 fps or 720p at 60 fps, though the FPV headset is also compatible with DJI’s Phantom 4 series and Inspire 2 series.

Recommended Videos

But DJI Goggles are about more than getting that first-person perspective — different control modes allow a turn of the head to adjust the direction of the drone, or the movement of the gimbal. The feature uses sensors inside the headset to control the yaw, or direction of the drone twisting on a vertical axis, or the tilt of the camera via the on-board gimbal. DJI explains that the control works much like a controller’s joysticks — straightening your head stops the turn just like returning the joystick back to the neutral position.

DJI - Goggles - See the World Take Flight

Along with the motion control, a touchpad on the side of the visor offers quick access to DJI’s intelligent flight modes, like ActiveTrack, TapFly and Terrain Follow, as well as the Goggles other settings via an internal menu.

Up to two DJI Goggles can be connected to the Mavic Pro drone wirelessly and users can also choose to bypass the controller for less lag time. The Goggles can also be used with the Phantom 4, Phantom 4 Advanced, Phantom 4 Pro and Inspire 2 but that is using a direct connection with the controller’s USB port. Once the flight is finished, the Goggles can also preview the footage using the microSD card slot or double as video game goggles using the HDMI port. The battery life is rated for up to six hours, DJI says.

With the control features, the Goggles can be used for piloting the drone, allowing a photographer and pilot to work together or giving a spectator a pretty nice view — though DJI suggests pilots using the Goggles have a spotter on hand to see what the pilot can’t from the drone camera. The Goggles are expected to start shipping on May 20 for pilots with an extra $449 lying around.

Hillary K. Grigonis
Hillary never planned on becoming a photographer—and then she was handed a camera at her first writing job and she's been…
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
The AI game-dev boom has a dark side: fewer jobs for the people starting out
Solo creators are thriving with tools like Claude Code and Copilot, but entry-level game roles are disappearing.
Man playing a video game on a desktop with glowing red and blue lights

AI is making it easier than ever for a single person to build a game. That sounds like a win for creativity, and in many ways, it absolutely is. But there is a catch. As generative AI tools help solo developers and small studios do more with fewer people, the same shift is making life tougher for writers, artists, concept creators, and junior programmers trying to break into the gaming industry.

AI is giving solo developers superpowers

Read more
A new AI model wants self-driving cars to think before they swerve
Forget guessing games, this self-driving AI actually shows its work.
Self driving car

Self-driving cars have gotten pretty good at driving. The harder problem is teaching them to drive safely in situations nobody planned for. We have heard horror stories of self-driving cars, behaving erratically in emergency situations, often times delaying first responders from reaching the scene.

A team at Seoul National University, led by professor Jun Won Choi from the Department of Electrical and Computer Engineering, thinks they have cracked part of that puzzle with a new AI model called SafeDrive. The research was recently selected as a highlight paper at CVPR 2026, a distinction that goes only to roughly 3% of all submissions.

Read more