Didit Liveness Detectionv1.2.0

Banks and fintechs use this skill to verify customer identity during digital account opening, ensuring the selfie is from a live person to prevent fraud. It integrates into mobile apps to check liveness before KYC document submission, meeting regulatory anti-spoofing requirements.

Companies implement this skill for employee authentication to sensitive systems, replacing passwords with facial liveness checks. It detects presentation attacks like printed photos to prevent unauthorized access to internal networks or data.

Online platforms selling alcohol, tobacco, or adult content use this skill to verify user age via selfie liveness detection. It estimates age and gender while ensuring the image is from a real person, complying with legal age-gating laws.

Ride-sharing or delivery apps employ this skill to verify driver or courier identity periodically, preventing account sharing or spoofing. It checks liveness during shift start-ups to ensure the registered person is operating the service.

Telehealth services use this skill to confirm patient identity before virtual consultations, ensuring the person matches medical records. It helps prevent identity theft and meets HIPAA compliance by detecting deepfakes or screenshots.

Charge customers per liveness check API call, with tiered pricing based on volume (e.g., $0.10 per request for high-volume clients). This model suits startups or enterprises integrating the skill into existing apps without upfront costs.

Offer monthly or annual subscriptions that include a set number of liveness checks, with overage charges for additional usage. This provides predictable revenue and encourages long-term contracts from businesses like banks or SaaS platforms.

License the skill as a white-label product for other companies to rebrand and resell, targeting industries like identity verification providers. Revenue comes from licensing fees and a percentage of resale profits, scaling through partnerships.