A software developer based in Poland has released an app called Zuckoff that scans for nearby Meta smart glasses, giving users a way to know when someone within range may be wearing a camera-equipped wearable. The app, which surfaced on developer forums and quickly gained traction on Reddit’s r/technology community, works by detecting the wireless signals that Meta’s Ray-Ban and other smart glasses emit when paired with a smartphone.
The tool arrives as Meta’s smart glasses line, developed in partnership with EssilorLuxottica, has expanded rapidly in the United States and Europe, putting discreet, always-available cameras on more faces in cafes, offices, and public transit. Zuckoff does not identify who is wearing the glasses or what they are recording; it simply flags that a compatible device is broadcasting nearby, similar to how some apps detect Bluetooth trackers like Apple AirTags.
How the Detection Works
According to details shared by the developer, Zuckoff listens for Bluetooth Low Energy and Wi-Fi Direct signatures associated with Meta’s smart glasses hardware. When a match is found, the app issues a notification indicating that a device is within a certain range, though it cannot pinpoint an exact location or confirm active recording. The approach mirrors research from institutions such as Cornell University, where computer science students previously built a prototype system capable of identifying strangers by combining smart glasses camera feeds with public databases and facial recognition, a project that drew widespread criticism when it was disclosed in 2024.
Zuckoff does not perform facial recognition or capture footage itself. Its function is narrower: alerting a phone owner that a wearable capable of recording video or audio is nearby, information the developer argues people are entitled to have given how inconspicuous the glasses are compared with traditional cameras.
Why It Resonates Now
Meta has marketed its smart glasses partly on the basis that a small LED light illuminates when the camera is actively recording, a safeguard the company says addresses privacy concerns. Critics counter that the light is easy to miss, can be obscured, and does nothing to inform bystanders who never look directly at the wearer’s face. Independent reviewers and privacy researchers have repeatedly demonstrated that the indicator can go unnoticed in normal social settings, particularly in dim lighting or crowded spaces.
The debate over wearable cameras is not new, but it has intensified as adoption grows. Retailers, gyms, and some workplaces have already begun posting signage or informal policies regarding smart glasses, echoing earlier disputes over Google Glass a decade ago. Zuckoff’s rapid spread suggests consumer appetite for tools that shift some control back to the people being recorded rather than relying solely on manufacturer-provided cues.
Reception and Limitations
Reaction on developer and privacy forums has been largely positive, with many users describing the app as a reasonable stopgap until device makers build more robust bystander notifications directly into their hardware. Others have pointed out technical limitations: detection range depends on signal strength and can be inconsistent indoors, and the app cannot distinguish between a device that is actively recording and one that is merely powered on.
Some technology commentators have also raised questions about whether widespread detection tools could themselves create new frictions, such as false alarms in spaces where multiple devices are present, or social awkwardness if someone is flagged as “detected” without doing anything wrong. Still, few dispute the underlying premise: as camera-equipped wearables become normalized, the tools available to the public for maintaining basic privacy awareness have lagged behind.
Broader Context
The episode adds to a string of recent stories highlighting friction between emerging surveillance-adjacent technology and public expectations of privacy. Law enforcement’s growing reliance on automated license plate readers, for instance, has drawn scrutiny after reports that Illinois police used Flock cameras 1,200 times to search for loitering, and a separate case in which an Amarillo man says an officer tracked him 78 times via cameras. Wearable cameras raise a parallel but distinct concern: rather than institutional surveillance, they place recording power directly in the hands of individuals in everyday social settings.
Meta has not issued a public statement specifically addressing Zuckoff. The company has previously said its smart glasses comply with applicable recording laws and that the recording indicator light meets its internal privacy standards. Whether Meta or other manufacturers, including Google and Samsung, which are also developing camera-equipped wearables, will respond with built-in detection standards or clearer disclosure requirements remains unclear.
What Comes Next
For now, Zuckoff represents a grassroots response to a gap many users feel has gone unaddressed by manufacturers. Its developer has indicated plans to keep the app free and open-source, inviting others to audit and extend its detection capabilities as smart glasses hardware evolves. Privacy advocates say the broader question, whether the burden of protecting bystanders should fall on third-party developers rather than the companies building the devices, is likely to persist as wearable technology becomes more common in daily life.
The app cannot tell you what someone is recording or whether they are recording at all. It can only tell you that a device capable of doing so is nearby, and for many users, that alone feels like meaningful information.
