But technology from a UK firm right away means cameras can discuss it if you're being assertive or mission for help - and will inform safety guards true away.
Cambridge firm Audio Analytic has constructed program that it mentioned can break down into parts the pitch, tinge and accent of noises and work out if they stance a threat.
"A lot of incidents only can't be picked up by video only systems," mentioned Chris Mitchell, Audio Analytic's boss, on BBC World Service's Digital Planet.
"For e.g. in a sanatorium where somebody, or a nurse, is being in jeopardy early hours in the sunrise - that's a really tough thing for CCTV guards who guard hundreds of channels value of video signals on 20 screens or so to collect up."
The program goes over simply fixation microphones onto cameras and listening in. By stuff oneself hundreds of representation sounds into the system, the program can heed not similar threats from assorted sounds - and not only formed on volume.
"We do not work with volume at all in the network since it's so connected to how far somebody is from the microphone that it's not a utilitarian metric.
"Our network picks out the many distinct characteristics. These are things connected to pitch, tone, intonation."
Essentially, Mr Mitchell explained, the program contains hundreds of audio fingerprints, and as shortly as a sound resembles a stored sample, the warning is raised.
However, similar to any program early in its development, it does not always obtain it precisely right.
"At a assessment site you did, someone got irritated at the coffee crater appurtenance since it swallowed their coffee crater money.
"From the indicate of perspective that's a true certain - you really rescued them getting honestly assertive at a coffee crater appurtenance - but from the safety indicate of view, it's not a real detection."
These mishaps aside, the Mr Mitchell's group is assured the technology is ready to obtain out into the market.
"The fake certain rates you obtain out of a network similar to ours are really low.
"Now, in safety systems similar to a fume detector you might have in the house, you know it has fake positives - it goes off when you erupt the toast.
"A certain number of fake positives are profitable so long as you have the safety bandwidth to cope with them since you'd rsther than know about things that you regard were an situation than only skip things you unsuccessful to be alerted to."
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