KAIST Researchers Create $7 Camera Detector for Phones
A new LED attachment helps identify hidden lenses in hotel rooms with 94% accuracy, addressing privacy concerns in short-term rentals.
Key points
- KAIST researchers created a $7 LED attachment that uses AI to detect hidden cameras with 94% accuracy.
- The system identifies camera lenses by recognizing unique light reflections that differ from other glossy surfaces.
- No commercial release date has been announced, leaving the technology available only as a research prototype.
Privacy in short-term rentals remains a significant concern for travelers, despite platform bans on secret recording devices. In 2024 alone, approximately 75 lawsuits were filed against Airbnb by guests who discovered hidden cameras in their accommodations. While these rules exist, enforcement is difficult, leaving many people to rely on their own vigilance to ensure they are not being secretly recorded.
Researchers at the Korea Advanced Institute of Science and Technology, known as KAIST, have developed a low-cost solution to this problem. The device, called SweepLED, is a small light strip that attaches to a smartphone. By sweeping the light across a room, users can detect hidden camera lenses through specific optical reflections that standard surfaces do not produce.
Low-cost hardware for detection
The core of the innovation is its affordability and simplicity. The SweepLED rig is built using components that cost roughly seven dollars in total. This makes it a viable option for consumers who cannot afford expensive, dedicated security scanners. The device works by emitting light that interacts with glossy objects in the room, creating reflections that can be analyzed by the attached smartphone.
While many smooth surfaces reflect light, camera lenses have a unique optical construction that creates a distinct type of reflection. The system relies on this physical property to distinguish potential threats from ordinary household items like mirrors or glassware. This approach turns a standard phone into a privacy scanning tool without requiring complex hardware modifications.
AI identifies lens reflections
Software trained with artificial intelligence plays a crucial role in the detection process. The algorithm is designed to recognize the specific patterns of light reflection emitted by camera lenses. By filtering out the noise from other reflective surfaces, the software flags only those objects that match the profile of a hidden camera lens. This reduces the number of false positives for the user.
In testing scenarios, the system demonstrated a high level of reliability. The researchers reported that the SweepLED device detected hidden cameras with 94% accuracy. This figure suggests that the technology is effective enough for practical use in real-world settings, such as hotel rooms or private rentals. However, no system is perfect, and users should still remain cautious.
Commercial availability remains uncertain
Despite the promising results and the low manufacturing cost, the research team has not announced plans to bring the device to market. The technology is currently available as a proof of concept from the academic institution. Core77, which reported on the development, noted that the low bill of materials could make it a profitable product if commercialized. For now, however, consumers cannot simply buy the device off a shelf.
The lack of immediate commercial availability means that the solution is not yet accessible to the general public. This creates a gap between the technological capability and the practical need for privacy protection. Until a product version is released, individuals must continue to rely on manual inspection or other existing detection methods, which may be less precise or more expensive.
