A kiosk camera sits between the user and the transaction
Self-service terminals often need a camera to support identity capture, remote assistance, document imaging or liveness detection. The camera therefore affects both system security and user experience.
The first decision is whether the same camera is expected to perform several tasks. Face capture and document capture usually have different working distances and FOV requirements.
User height variation should drive the face capture zone
A fixed camera mounted above or beside a large display must accommodate shorter and taller users as well as wheelchair users. Lens angle, camera tilt and mounting height should be designed together.
A very wide FOV can increase coverage, but it may make the face too small in the image or increase edge distortion. Physical placement is often more effective than simply choosing the widest lens.
Identity capture requires controlled image quality
For face recognition, the system should maintain sufficient face size, exposure and sharpness across indoor lighting and bright backgrounds. For liveness, RGB, IR or binocular configurations may be required depending on the algorithm. Those requirements should be defined by the security design, not assumed from the word "camera."
Privacy and indicator behavior belong to the design
Public terminals should consider when the camera is active, whether a visible indicator is needed, and how images are handled. These are system-level product decisions, but they influence camera placement and enclosure design.
Document cameras need a different optical path
If the kiosk captures passports or ID cards, the document area benefits from controlled lighting, low distortion and a known working distance. Trying to use the face camera for a downward document tray can create awkward geometry or insufficient detail.
A dedicated second module can simplify the problem even if it increases hardware count.
A two-camera architecture can simplify identity workflows
One camera can be positioned at face height for user capture while a second looks down at an ID-card or passport tray. Each camera then operates at a controlled working distance and FOV. The extra hardware may reduce optical compromise and software correction enough to improve the total product.
This architecture also separates privacy logic: the face camera can be active only during identity steps while the document camera remains limited to the tray area.
Human factors should be tested before bezel tooling
Use participants of different heights and mobility, not only engineers standing directly in front of the prototype. Observe whether users naturally position themselves inside the capture zone. If they repeatedly lean or crouch, the camera location is wrong even if recognition succeeds under coached testing.
Test the finished terminal, not only the module
Validate face capture with a broad range of user heights and positions. Test documents with holographic or glossy surfaces. Include storefront daylight, screen brightness and bezel reflections.
A kiosk camera is successful when the interaction remains consistent without asking users to find a narrow "sweet spot."
FAQ
Should a kiosk use one camera for face and document capture?
It can, but the two tasks often have different geometry and lighting. Separate cameras may simplify the user experience and image requirements.
What FOV is best for a kiosk face camera?
There is no universal angle. It depends on mounting height, user distance and the required face size in the image.
Do identity terminals always need IR cameras?
No. IR or binocular imaging depends on the liveness and security method used by the terminal.
