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

Researchers built a $7 gadget that can find hidden cameras in seconds

It works by sweeping light instead of just spotting reflections with 94% accuracy.

Add as a preferred source on Google
Google Nest Cam Indoor Wired on table.
John Velasco / Digital Trends

Hidden cameras keep turning up in sneaky spots, tucked inside pen, clock, chargers, or picture frames in hotel rooms and rentals. This is why researchers at KAIST built a fix that costs less than a nice lunch. Their new tool, called SweepLED, turns any smartphone into a reliable hidden camera detector using an attachable LED case that costs under $7 to build.

Why your current hidden camera detector probably isn’t working

Most handheld detectors rely on a pretty basic trick, shine light at something and look for a bright reflection bouncing back. The problem is that glass, metal, and shiny plastic all bounce light back too, which means you’re stuck squinting at chargers and clocks trying to guess whether that glint is a lens or just a coincidence.

Recommended Videos

SweepLED eliminates the guesswork entirely. Instead of moving the light and the viewing angle together, it keeps the phone’s camera locked in place and sweeps the LED light from different directions instead. That’s crucial because a camera lens has an internal structure, aperture, sensor, and layered glass, so its reflection warps and deforms in a very specific way as the light angle shifts. Ordinary shiny surfaces just don’t do that.

How SweepLED works

SweepLED records the whole light sweep as a short video, then runs it through an AI model trained to spot those telltale lens deformations, flagging exactly where a hidden camera might be hiding. Researchers tested it against 30 everyday objects you’d realistically find in a hotel room or rental, and it caught hidden cameras with about 94% accuracy, all in under five seconds per object.

A recent UCL study found people using consumer hidden camera detectors still missed 59% of devices in testing, so SweepLED’s 94% lab result is a strong sign, with real world testing likely next.

Led by Professor Jun Han at KAIST’s School of Computing, working alongside researchers from the National University of Singapore and Singapore Management University, the project was presented earlier this year at ACM MobiSys 2026. It’s not a shipping product yet, but the underlying idea is simple enough that it could realistically show up in an actual gadget before long.

Manisha Priyadarshini
Manisha Priyadarshini is a tech and entertainment writer with over nine years of editorial experience.
AI can’t tell if you’re gay or straight, but it thinks it knows what both look like
AI knows it shouldn't judge a face, but apparently, drawing one is a different story.
Emilia Clarke AI generated stock image. Gemini / Nano Banana is on the left

We've all been told not to judge a book by its cover, and you'd think AI would follow that rule, too. Ask an AI chatbot to guess someone's sexual orientation just by looking at their face, and it'll likely tell you that there's no reliable way to know. But what happens when you ask that same model to change someone's appearance to match a particular sexual orientation? Well, that's where things get uncomfortable.

A new study, accepted for presentation at the 2026 Conference on Empirical Methods in Natural Language Processing, found that AI models from OpenAI and Google can be inconsistent when handling sensitive personal characteristics. They might refuse to make assumptions about someone based on their appearance, but when asked to generate those same assumptions visually, the results tell a very different story.

Read more
A clinical study with Google’s special chatbot shows a strong future for AI in healthcare
Google’s medical AI could give doctors a useful second set of eyes
Google Articulate Medical Intelligence Explorer chatbot

AI is a useful tool for handling many tasks in private as well as professional settings, but medical advice, especially diagnosis, is one area where I generally draw the line. General-purpose chatbots tend to sound confident and convincing while giving medical advice, even when they are wrong, as studies have previously found.

That being said, Google's new research points to a much more convincing use for AI in healthcare. Its Articulate Medical Intelligence Explorer chatbot, or AMIE for short, could help prepare both sides before the appointment even begins.

Read more
Relaxation music had one job in this pain study, and favorite songs did it better
Patients who chose their music reported less pain after an IV insertion
Book, Publication, Indoors

Patients’ favorite songs helped ease pain after an IV insertion in a new study, while music specifically chosen for relaxation didn’t show a significant benefit. The soothing soundtrack could apparently use a second opinion.

Researchers at University Hospital Zürich studied 204 patients receiving an IV cannula before an MRI scan. Those listening to their chosen music reported less pain 30 seconds and two minutes after insertion. Across the full sample, the clearest relief came after the needle went in.

Read more