Create your seed
The app generates a private seed inside your phone’s secure storage. HamsaID never sees it and keeps no copy.
How it works
A palm scan moves through four deliberately separated layers. Each knows only what it needs to do its job.
Step 0 · Enrolment
Joining works the same way as verifying: the capture is transformed at the sensor and the raw frames are overwritten. What remains is an encrypted, context-bound template. Never a picture of you.
The app generates a private seed inside your phone’s secure storage. HamsaID never sees it and keeps no copy.
One wave at an enrolment sensor. The capture is transformed on the spot and the raw frames are overwritten, exactly as in daily use.
Nothing works until you grant a permission: a place, a purpose, limits and an expiry that you control.
Enrolment steps and available permissions depend on the deployment.
The architecture
The sensor captures near-infrared palm-vein detail and 3D hand geometry in one gesture. It checks liveness locally, transforms the scan into a protected feature vector, then overwrites the raw frames before the next capture.
Your phone is the root of authority. It holds your private seed, records consent and issues narrowly scoped permissions. Your seed never leaves the device.
Today, transformed templates are matched inside an attested confidential-computing enclave. They are encrypted at rest and isolated in per-context partitions. The target architecture distributes custody across legally separate operators using secure multi-party computation.
The airport, stadium, bank or employer receives a signed result for one defined purpose: access granted, age verified or payment authorised. It does not receive the biometric, the seed or a global identity.
Inside the sensor
The data path is deliberately one-way: raw NIR, RGB and depth frames are processed in volatile sensor memory, transformed for one context and overwritten before the next capture.
Live capture
NIR, RGB and depth, held in volatile memory only.
Edge processing
Presentation-attack detection runs locally and the readings become one fused embedding.
Transform
The embedding becomes a cancelable query. The key stays protected and never travels with it.
Raw frames and the untransformed embedding are overwritten here. Only a context-transformed query continues to matching.
Resolution
Only the transformed template is stored, encrypted, inside a per-context partition.
Output
Yes or no, for one purpose. No biometric and no global identifier leave the system.
Designed boundaries
The current deployment combines local deletion, hardware isolation, encryption and context partitioning. The target architecture adds distributed custody so no matching operator holds a complete template.
Two authentication modes
Mode A / hand only
Approve a context in the app in advance: the merchant, event, purpose, limits and expiry. At the terminal, the hand is enough. The phone can be off or absent.
Mode B / phone mediated
The terminal starts a challenge and the user confirms it on their phone. The consent is bound to that terminal, purpose and moment before the hand completes the session.
Straight answers
Recovery
Existing pre-authorised contexts continue to work without your phone, until they expire or are revoked. Losing the phone does not automatically cancel them. Contact your deployment operator for help recovering the ability to manage your permissions.
The basics
Only to set or change the rules. With a pre-authorised context, the hand alone is enough at the terminal.
Uniqueness
The system compares palm-vein detail and hand geometry, rather than facial resemblance. Matching accuracy and resistance to presentation attacks are separate questions. Ask us about the test conditions and results relevant to your deployment.
Robustness
The sensor reads vein patterns beneath the skin in near-infrared light. Surface marks rarely matter, and a fully covered hand falls back to the venue’s normal process.
Your rights
You can revoke permissions and request deletion of your enrolment. The operator can explain the deletion process and any applicable retention periods. Raw palm frames are overwritten at the sensor.
Operations
The venue’s standard fallback applies: staff assistance or a document check, whatever the deployment defines. The fallback route is agreed with the operator for each deployment.
Operational answers vary by deployment. Ask us the harder versions in person.