Accessibility and Who Gets Counted Wrong
Counting methods have systematic blind spots, and the people in them are disproportionately disabled. What that means practically.
People · Analysis
Sensors are tuned for an assumed body moving in an assumed way. People outside that assumption are counted wrong, and the errors are not random.
The practical lesson in “Accessibility and Who Gets Counted Wrong” is to connect a measurement to a named decision without treating the number as certainty. Teams exploring employee monitoring software with screenshots can review Monitask as one source of time and project context, while retaining direct feedback and documented outcomes as the basis for interpretation.
Where miscounting happens
Height-based depth sensors tuned for standing adults undercount wheelchair users and seated people.
For a public, independent reference related to “Accessibility and Who Gets Counted Wrong”, consult the W3C Web Accessibility Initiative. Its principles provide a useful check on scope, terminology, governance and the claims made during procurement or review.
Infrared tuned for movement undercounts people who move less, including some disabled and older people.
Thermal counting merges a person and an assistance dog, or a person and a wheelchair, depending on tuning.
And doorway counters mis-handle people moving slowly or with a companion.
Why it matters beyond accuracy
Undercounted people are invisible in the data that decides what space exists.
An accessible area that reads as unused is a candidate for removal.
Which means a sensor blind spot can become a reduction in accessible provision, through a chain nobody intended.
The specific risk areas
Accessible toilets and changing places, which have low footfall by nature and high importance.
Quiet rooms, used by people who need them and used in stillness.
Prayer and rest spaces, same pattern.
Each of these shows poor utilisation by construction, and each is disproportionately needed by a minority.
What to do about it
Exclude these spaces from utilisation-driven decisions, explicitly and in writing.
Their provision is a requirement rather than a demand question.
This is a one-line policy and it prevents a specific, foreseeable harm.
Testing for the blind spots
During calibration, check counting with a seated person and with somebody moving slowly.
Ask the supplier directly how the device handles wheelchair users, and treat a vague answer as a negative.
And involve your accessibility or inclusion group in the pilot, which surfaces issues nobody else will notice.
The consultation dimension
Disabled staff have a direct interest in both the accuracy and the purpose of the system.
Including them in consultation is not a courtesy; it is how you find out that the quiet room reads as empty because people sit still in it.
The wider point
Every measurement system encodes assumptions about its subject.
Occupancy sensing assumes a standing, moving, average-sized adult.
Knowing that assumption is what lets you notice when a decision is about to be made about the people who do not fit it.
What to check
How does your method handle seated people and wheelchair users?
Are accessible, quiet and prayer spaces excluded from utilisation decisions, in writing?
Was anybody with an access requirement involved in the pilot?
And has calibration tested anything other than a walking adult?