Standard architecture: Facial recognition and biometrics
Workflows that drive an outcome from step to step. Mostly people and process.
Standard architectureThe parts at least half of the organizations in Facial recognition and biometrics have, as many as 128 of them run all together. Counted from public, sourced parts only; each organization below links to the parts it was counted on.
- Organizations running it
- 128
- Of their industry
- 66%
The pattern
What every instance has, in order
- DecisionsMarket and positioningin 100% of instancesthen
- ProcessProduct or service designin 100% of instancesthen
- PeopleCustomers: keeping themin 99% of instancesthen
- DecisionsGovernance and decision rightsin 99% of instances
Coloured arrows: a flow of that type seen between the two at instance organizations. Grey arrows: order only.
Structure
Variant · where they differ
Member
Variants, couplings and instances
Every level, number, source and dimension: Member, $300 a year.
Couplings · what comes together
Member
Variants, couplings and instances
Every level, number, source and dimension: Member, $300 a year.
Entropy
Where it runs rough
Operating-reality findings at instance companies: workarounds, manual hand-offs, bottlenecks.
No findings recorded yet.
Seen across
Where it holds
Industries
Size
- 1000+ people5%
- 11-50 people1%
Region
- United States28%
- China16%
- Israel9%
- India5%
- United Kingdom4%
- Argentina3%
Instances
The 128 companies it was seen at
Member
Variants, couplings and instances
Every level, number, source and dimension: Member, $300 a year.