A security researcher’s analysis of Samsung TV software has raised concerns about household sound monitoring and targeted advertising, after reportedly uncovering references to dog barking, baby crying, camera activity and nearby microphones, although the findings do not establish that Samsung secretly accessed microphones or used the data for advertising.

The claims, shared by an X user known as log4j and discussed in a Reddit thread, emerged after the researcher began investigating the television’s data usage in response to increasingly targeted on-screen advertisements.

According to the researcher, the software contained markers associated with detecting dog barking and baby crying, as well as information about camera streaming duration and a feature that identifies microphones in nearby devices.

The findings have renewed concerns about the extent of data collected by smart televisions and how manufacturers use information about household activities, particularly as privacy debates surrounding connected devices continue following earlier allegations about data collection by LG TVs.

However, some of the reported capabilities are linked to features Samsung previously advertised rather than undisclosed surveillance systems.

Samsung’s Family Care feature, for example, was designed to detect a baby’s cries and send alerts to connected mobile devices, while Pet Care offered similar functionality for dog barking.

Both features were designed to operate while the television was in standby mode.

Samsung has announced that it is discontinuing Family Care about 18 months after its launch, citing low usage and persistent false positives, including instances in which the system reportedly mistook crying sounds from television programmes for real events.

Although these features help explain why the software contains references to household sounds, questions remain about whether Samsung adequately informs users when such events are reported to its servers and why that information is necessary.

Companies commonly collect usage data to assess how customers interact with their products and to evaluate feature performance, but the extent of Samsung’s data collection and retention practices remains unclear from the reported findings.

The researcher’s other discovery, concerning the detection of microphones in nearby devices, has also raised questions about potential access to household equipment.

However, identifying a nearby device that has a microphone does not, by itself, demonstrate that the television accesses or records audio through it.

Such detection could support functions including karaoke and video calling by helping the television identify available microphones when those applications are launched.

Further findings could clarify whether the software performs additional monitoring beyond the functions associated with Family Care and Pet Care.

The researcher has also reportedly identified a region-specific neural network that monitors the use of applications such as YouTube, with a more detailed technical breakdown expected to provide further information about its purpose and operation.

Until that information becomes available, the findings do not establish that Samsung is secretly recording household conversations or collecting audio specifically to sell targeted advertisements.

Nevertheless, the case highlights broader questions about transparency, consent and the amount of information smart television manufacturers collect about their users.

Those concerns are particularly relevant in markets where data protection regulations may offer different levels of safeguards, making it important for consumers to understand what information their devices gather, how it is processed and whether it is shared with third parties.