An advanced neuromorphic biometric technology that simulates human cognition to measure haecceity - that part of us that uniquely defines who we each actually are…
aiDX
Using neuromorphic computing, an advanced form of artificial intelligence (AI), research scientists at aiQ Cognitive Technologies ('aiQ') have successfully been able to develop a revolutionary new biometric technology (code-named ‘aiDX’) that is able to simulate human cognition - how the mind/brain proceeds to recognise things and people - to answer the “Who?”-question properly (who is someone actually) by interpreting personal identity
aiDX recognises that we are each so much more than just a few minutiae at the end of our fingertips or a few landmark points visible in the human face (which conventional fingerprint and facial recognition biometrics use in an attempt to estimate the identity of a person)
aiDX answers five of the most difficult (but most important) questions of our time:
“Is someone actually who he says he is?” - Authentication (1:1)
“Who is this someone?” - Identification (1:∞)
“Is this someone an actual/real/live person?” - Proof-Of-Life/Liveness
“Is this person pretending to be someone else?” - Impostor Detection
“Is this person known under different identities?” - Alias Detection
aiDX can easily be deployed in the one device we all already carry with us all over all the time - a standard, off-the-shelf mobile phone (even low-end phones)
From a single ‘3D selfie’ captured by aiDX of a person in an embedded browser window on his own mobile phone, aiDX mathematically computes and expresses 'personal identity' as a complex, irreversible, de-identifiable 512-alpha/numeric character cryptographic hash which uniquely identifies a person for life…
The following comparison roughly illustrates the extent to which aiDX advances biometrics well beyond the limits of conventional biometrics…
Conventional Biometrics
Conventional biometric modalities (fingerprint, faceprint, voiceprint…) attempt to guess the identity of a person by ‘connecting the dots’ - nodes found on a fingertip, in a face or in a voice to draw a geometric pattern that is assumed to represent a person - fingerprint biometrics for example attempt to locate small minutiae on a fingertip, faceprint biometrics attempt to locate key landmarks (forehead, eyes, ears, nose, mouth…) visible in the human face and voice biometrics look for inflections that can be detected in a person’s voice
While conventional biometrics work quite OK under ideal conditions (when good lighting is present or in quiet surrounds for example), the limited number of ‘dots’ that can detected on a fingerprint or in a face or in a voice, necessarily limit their use to small (1:1) applications - open a door or unlock a phone for or confirm a specific person’s identity for example
This makes conventional biometrics unsuitable for large (1:∞) population groups
Even under normal conditions, conventional biometrics tend to suffer from a very high rate of failure, all of which gives rise to the possibility of false positives - when one person is misidentified as someone else and so, allow the wrong person to do what only the right person ought to be able to do
The reasons for the poor performance of conventional biometrics, are well understood:
The number of minutiae that can be detected on a finger is severely affected in the case of worn/grubby fingerprints (manual labourers for example)
In the case of certain demographics, facial landmarks are difficult to discern (dark African or light Nordic complexions)
Emotional stress or ill-health tend to cause a person’s voice to be almost unrecognisably altered
aiDX on the other hand recognises that we are each so much more than just a few minutiae at the end of our fingertips, or a few landmarks on our faces, or a few inflections in our voices…
User Experience
While aiDX is ‘rocket science’ in the back-end, a great deal of attention and effort has been expended to ensure a ‘super friendly’ user experience (UX)
aiDX API
As a ‘no code’ technology solution that requires nothing more than a tiny URL to initialise an aiDX instance inside a browser window as an iFrame on a user’s own mobile phone, aiDX can easily and seamlessly be securely embedded into a mobile app
Principal
Any entity (business, organisation, agency, government…) who needs to know who its customers, its employees, its patients, its students, its members, its subscribers, its citizens… actually are, is able to adopt aiDX as a KYC technology solution and embed it seamlessly into its own mobile app by making a simple, secure API call to the aiDX API
To be recognised as a Principal, aiQ requires a few important details about the applicant - click/touch here to submit an on-line application…
Once an entity is onboarded as a Principal, (restricted) development access to the aiDX API is enabled ahead of (unrestricted) production access to the aiDX Service
Cost
aiDX operates on a large-volume-low-cost (LVLC) per transaction cost model
Since the actual cost depends entirely on several factors - the country in which the Principal operates, projected transaction volumes and the Principal’s preferred currency, a bespoke cost model will be structured, tailored to suit the peculiar requirements of the Principal…
Live Demo
A live demo showcasing an actual implementation of aiDX on a mobile phone, can be viewed here
Contact…
To arrange for a personal introduction to the various services and technologies offered by aiQ, please send us an email…
