Protect & respond · Feature guide

AI audio detection CCTV

A camera cannot see around a corner, but a supported microphone may capture a relevant sound. AI audio detection can classify selected sound types and attach another signal to the video review process. Glass breaking is one example offered by some systems.

Illustration of a microphone classifying glass-break sound using an audio waveform
AI-generated illustration of ai sound classification. The scene and overlays explain the concept; they are not a PGAK screenshot or measured result.

How it works

Classify supported sounds such as breaking glass, shouting or vehicle horns.

Where it could help your business

Add audio-event context to a shop’s security workflow.

Check the microphone location and ambient noise before choosing a classifier. Test the sounds likely to occur during normal business, not just a quiet-room demonstration. Decide whether audio needs to be recorded or only analysed, with appropriate access and retention arrangements.

What your camera setup needs

Requires a supported microphone and classifier. Background noise and lawful audio collection must be assessed.

Will a built-in microphone automatically provide sound classification?

No. Capturing audio and recognising a sound category are separate capabilities. The hardware, software and supported sound classes must all be confirmed.

Check it on your own site

Bring a camera model list and explain the event you want to find or detect. We can use that to scope a compatibility assessment. Ask for a written proposal naming the supported functions, processing hardware, licences and pilot checks before agreeing to an installation.

Check my camera setup →

Calculator · C17

Sound classification: estimate it for your site

Use your own measurements. The result is the staff time released, shown separately from any cash, using the formula below. It runs in your browser and nothing is sent anywhere.

Fields start empty. A blank is “not entered”, not zero; type 0 where 0 is true.

Money (optional)

Salary plus benefits and overheads, per working hour. Needed only if you enter a realisation above 0%.

0% unless you can name the mechanism — overtime that stops, a post not refilled, a contract reduced.

Only from your own records. May be negative.

Licences, support, connectivity. Enter 0 if there is none.

Hardware, installation, commissioning. Enter 0 if there is none.

Enter every amount on the same basis — all including GST or all excluding it. Nothing here adds or removes tax. Values are nominal rupees, not discounted.

Result

Enter your own figures, or load the worked example, to see the result.

How it is calculated

hours = events × (manual − assisted) ÷ 60 − tuning hours

Worked example (illustrative inputs)

100 events; 5 old; 2 new; 1 tuning hour.

staff time released: 4 hours a month.

Formula version 1.0.0.

What this does not tell you

  • Hours released are capacity, not cash. They become cash only through a mechanism you state — overtime that stops, a post that is not refilled — entered as the realisation fraction.
  • The 'after' values are your assumptions or pilot measurements. PGAK publishes no effectiveness figure for this feature.

Evidence status: Supplier/integration or marketed capability; PGAK availability and site performance require verification.

Request a site-specific assessment with these assumptions

Your result stays on this page either way. If you want it checked against your cameras and quotation, leave a number; mention the figures on the call. Nothing you typed into the calculator is sent with this form.

Request a camera assessment. Timing and scope agreed on the call. By submitting, you ask PGAK to contact you about this enquiry. Privacy notice.