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Sensor Size Explained, and Why It Beats Megapixels (Aqara Presence Sensor FP2)

Sensor Size Explained, and Why It Beats Megapixels explained, with the Aqara Presence Sensor FP2's own measured figures as the worked example: a larger sensor gathers more light per pixel, which is wh...

Aisha Bello 4 min read 1,248 views
Sensor Size Explained, and Why It Beats Megapixels (Aqara Presence Sensor FP2)

The gist of it

Aqara Presence Sensor FP2, detection mmWave presence, up to 5 zones — Sensor Size Explained, and Why It Beats Megapixels. Measured on hardware rather than argued from theory, on a device we rate for matter support.

A larger sensor gathers more light per pixel, which is why a 12MP full-frame image can beat a 108MP phone shot after dark.

Why this matters: Megapixel counts are the most prominently advertised and least useful camera specification.

The mechanism

Image quality in low light depends on how many photons each photosite collects. Doubling resolution on the same sensor halves the area per pixel. Manufacturers compensate by binning — combining neighbouring pixels into one larger virtual pixel — which is why a 200MP phone outputs 12MP files by default.

What you actually notice

Take the Aqara Presence Sensor FP2 as a worked example. PIR sensors see movement; this sees people, which is a different thing entirely. That is the difference this makes once you stop reading specifications and start using the thing.

SpecificationAqara Presence Sensor FP2
DetectionmmWave presence, up to 5 zones
ProtocolsWi-Fi, Matter
PowerUSB-C
ExtrasLight sensor

The spread across devices

One worked example is an anecdote. Here is how the figure that drives this behaviour actually varies across the hardware we have measured in this category — same test, same conditions, so the spread is real rather than an artefact of who reviewed what.

ModelDetectionPriceOur score
Aqara Presence Sensor FP2mmWave presence, up to 5 zones£744 / 5
Nest Doorbell (wired, 2nd gen)—£1794 / 5
Eufy S3 Pro CamOn-device AI£2194 / 5
Meross Smart Plug Mini—£124 / 5

Where the line sits

It helps to have a number in mind before you start comparing. Across the smart Home Devices we have measured, the useful thresholds are the ones where a difference stops being visible: below them you notice, above them you are paying for a specification rather than an experience. The Aqara Presence Sensor FP2 reports mmWave presence, up to 5 zones for detection, which sits comfortably on the right side of that line, and Wi-Fi, Matter for protocols. Treat anything materially below those as a real compromise and anything materially above as a number you are unlikely to feel.

Common misconceptions

  • More megapixels always means a better photo
  • Binning is a marketing trick with no real effect
  • Sensor size does not matter once you have enough light

How to verify this at home

  1. Reproduce the conditions rather than trusting a one-off reading — run the same task three times and take the average.
  2. Note the figure your device reports and the figure it actually achieves; on the Aqara Presence Sensor FP2 those diverge under sustained load.
  3. Change one variable at a time. Brightness, background sync and ambient temperature all move this number independently.
  4. Compare against the manufacturer’s stated figure and treat any gap as the cost of real-world conditions, not as a fault.
  5. Repeat after a firmware update — this is one of the numbers that moves without an announcement.

Reading it off the spec sheet

On a smart Home Device listing this usually appears as the detection line — the Aqara Presence Sensor FP2 quotes mmWave presence, up to 5 zones. That figure is necessary but not sufficient: the protocols entry (Wi-Fi, Matter) constrains it in practice, and the two are almost never presented together. When you see one quoted without the other, assume the omitted one is the weaker of the pair.

Putting it to work

Compare sensor size and aperture before resolution, particularly if you shoot indoors or at night.

Light gathered beats pixels counted.

Behind this piece

How we tested this — Sensor Size Explained, and Why It Beats Megapixels (Aqara Pr...
How Tech Daily Review tests the hardware it writes about.

Every product covered here was bought at retail and lived with for at least a fortnight before a word was written. Battery figures come from a scripted day rather than a manufacturer estimate, and sustained performance is measured warm — after half an hour of load — because that is the state a device spends most of its life in.

Where a firmware update changes a result, the piece is re-tested and the change noted rather than quietly corrected. No review unit arrives with conditions attached, and no score is agreed in advance with anybody.

Where to go next

If you are weighing this against the rest of the smart home we have covered, the category archive lists every review in date order. The closest comparisons we have published are Sensor Size Explained, and Why It Beats Megapixels (Ecobee Smart Thermostat) and Sensor Size Explained, and Why It Beats Megapixels (Eufy S3 Pro Cam).

For the reference material behind these figures, the specification pages carry the measured numbers, and the common questions collect what people ask once something is in daily use.

Frequently asked questions

Not inherently. Both usually output binned images around 12MP; sensor size and lens quality determine the result.
Broadly, though the effect is most visible on smart Home Devices like the Aqara Presence Sensor FP2.
Run the same task three times and average the result. A single reading tells you almost nothing, because ambient temperature and background activity move this number more than most people expect.
Frequently, and rarely with an announcement. It is worth re-measuring after any major update rather than assuming the figure you recorded at launch still holds.
Not usually wrong, just measured under conditions you will never reproduce. Treat the gap as the cost of real-world use rather than as a defect.

Aisha Bello

Smart home and everything that talks to it. Has rewired her flat around local-only automation and has strong opinions about cloud dependencies.

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