Identity/biometrics/technology marketing and writing services
I made this available to someone else, so I’m making it available to you. If you’re interested in a non-branded clip of the ten faces, here it is below.
The complete branded version remains at https://bredemarket.com/2026/01/12/1012/
The question again: if a human body had ten faces, how accurate would facial recognition be?
And the companion question…well, you’ll have to go to the branded version to see that.
(Part of the biometric product marketing expert series)
Bredemarket reserves the right to revisit topics I visited before.
Imagine an alternative universe in which a single human body had ten (different) faces and only one finger.
Think about the ramifications.
Credit for this thought, not original to me, must still remain anonymous.
But if you would like to discuss your biometric marketing and writing needs with a biometric product marketing expert, fill out the “free 30 minute content needs assessment” form on the page linked below to schedule a free conversation.
(Part of the biometric product marketing expert series)
Continuing in my series of looks at biometric accuracy in an alternative universe.
If you need to market a biometric product that handles challenging conditions, book a free meeting with me at https://bredemarket.com/mark/
Will facial recognition ever become precise enough to distinguish between identical twins?
NIST investigated this in 2023 but did not continue the research. From the report:
These results show that identical twins and same-sex fraternal twins give outcomes that are inconsistent with the intended or expected behaviour from a face recognition algorithm.
Bredemarket works with a number of technologies, but it’s no secret that my primary focus is biometrics. After all, I call myself the “biometric product marketing expert,” having worked with friction ridge (fingerprint, palm print), face, iris, voice, and rapid DNA.
If I can help your biometric firm with your content, proposal, or analysis needs, schedule a free meeting with me to discuss how I can help.
(Part of the biometric product marketing expert series)
Imagine an alternative universe in which a single human body had ten (different) faces and only one finger.
Think about the ramifications.
Credit for this thought, not original to me, must remain anonymous.
This is the third time that I’ve seen something like this, so I thought I’d bring attention to it.
Biometric Update recently published a story about a United Kingdom agency that was criticized for its use of Cognitec facial recognition software.
Why? Because the facial recognition software the agency has is not accurate enough, particularly in regards to demographic bias.
Note “the facial recognition software the agency has.” There’s a story here.
“Cognitec released its FaceVACS-DBScan 5.5 software for biometrics matching at scale in 2020….The current version is 5.9, but Home Office’s Police National Database uses 5.5, which is why that version was tested.”
Important clarification.
Now perhaps the agency had its reasons for not upgrading the Cognitec software.
But governments and enterprises should not use old facial recognition software. Unless they have to run the software on computers running PC-DOS. Then they have other problems.
And if you detected that this post sounds really really similar to one I wrote back in April…you’re right. Back then an Australian agency continued to use an older version of the Cognitec algorithm, even though a newer one was available.
But I’m still using the pre-Nano Banana illustration for this new post.
A question for you: is YOUR company using outdated content? Are you ready to update it? Talk to Bredemarket.
Facial recognition and DNA can’t tell identical twins apart. (Well, not unless you can detect somatic mutations.) Even Santa can’t tell.
And fingerprints don’t work because everyone at the North Pole wears gloves.
To ensure that my social media followers don’t have all the fun with my “biometric product marketing expert” shares, here are links to some Bredemarket blog posts on facial recognition (identification) and facial analysis (classification).
Facial recognition:
Facial analysis:
Bredemarket