FaceTyck
Offline face recognition attendance on any Android.
Tested on 18,000+ Android device models. 1GB RAM minimum. Deployed in operating mines and highway construction. 1:N across 200,000 references in 1.5 seconds. Cooperative scenario.
Get FaceTyckKey Specs
1:1 identity verification
1:N group attendance
GPS-tracked check-ins
Passive liveness detection
Fully offline - no server required
Complete T&A ecosystem
1:N across 200,000 references in 1.5 seconds
Tested on 18,000+ Android device models
1GB RAM minimum
Use Cases
Moving workforceRemote site check-inExam candidate verificationConstruction & miningField staff attendance
HRMS Integrations
SAP SuccessFactorsZingHRAdrenalinPeopleStrongPeopleHum
+ any HRMS via RESTful API
Frequently Asked Questions
Does face recognition work on all Android phones?
FaceTyck is tested on 18,000+ Android device models. Minimum requirement is 1GB RAM.
What is 1:N face recognition?
1:N identifies one face against a database of many references. FaceTyck performs 1:N across 200,000 references in 1.5 seconds on a 1GB RAM Android - cooperative attendance scenario.
Can face recognition be used for exam candidate verification?
Yes. FaceTyck supports 1:1 candidate verification with passive liveness, suitable for exam centres and online proctoring.
What is passive liveness detection?
Detection of whether a face is live or a spoof - photo, video, or mask - without requiring any active user action. Built into FaceTyck.