Face authentication
Facial Authentication powered by Face Vault provides secure, passwordless access with advanced features like presence detection, continuous authentication, and credential portability.
Re-imagine the authentication processes with face as a factor
Passive Liveness Detection
Prevents presentation attacks with advanced liveness detection, ensuring that a real is in front of the camera. Delivers a fast and natural user experience, requiring only a single-shot selfie instead of complex actions like recording head movements.
Presence Detection & Continuous Authentication
Monitors user presence and identity throughout sessions to protect ongoing access. Locks devices when users step away and re-authenticates them automatically upon return. No need for specialized hardware - works with standard webcams.
Alternative & Supplemental Factors
For users who opt out of facial recognition, the platform supports alternative authentication methods such as badge, NFC, QR code, or PIN. Facial Authentication can also be combined with these other factors for flexible multi-factor authentication (MFA) configurations.
Face vault
OLOID’s Face Vault redefines how users access devices and applications. This biometric solution enables secure, password-free login and multifactor authentication (MFA), along with continuous authentication and presence detection for ongoing session security. Designed for scalability, it ensures seamless integration into any organization’s ecosystem.
- Credential Portability: Enroll once and use your credentials across all devices and platforms, eliminating the need for repeated onboarding.
- Unlimited Users Per Device: No restrictions on the number of users supported per device, making it ideal for shared workstations.
- Broad Compatibility: Works effortlessly with standard webcams on tablets, kiosks, PCs, and thin clients.
- Compliance and Certification: Fully compliant with global standards like iBeta Level 5, GDPR, HIPAA, and CCPA.
OLOID’s facial authentication is built to offer speed, accuracy, and ease of use
How It Works: Capture the user’s face through a standard webcam. Verify identity with passive liveness detection to ensure the user is real and present. Enable secure login or ongoing verification through continuous authentication.
- Reliability in Challenging Environments: Whether indoors, outdoors, or in industrial settings, OLOID’s solution performs reliably under varying lighting conditions and noise levels.
- Resilience to Appearance Changes: The system adapts to changes like weight gain/loss, glasses, haircuts, or makeup, ensuring consistent performance for all users.
- Offline Authentication: OLOID supports offline mode for most scenarios, ensuring uninterrupted access. Data syncs with the server once reconnected.
Supports a wide range of devices, systems and applications
The OLOID solution integrates seamlessly with a wide range of devices and applications. Facial authentication is compatible with Windows, iOS, Android, and web platforms, offering a consistent experience across devices.
- Tablets
- Kiosks
- Windows PCs
- Thin Clients
- Web & Native Applications
Flexible Credential Onboarding Options
OLOID offers flexible onboarding options tailored to organizational needs:
- Assisted Setup: Supervisors can guide employees through enrollment.
- Self-Service Onboarding: Employees can onboard themselves using secure links, saving IT resources.
- Zero-Touch Onboarding: Automate the process by bulk-uploading facial data or syncing with HRIS systems.
- Credential Portability: One-time onboarding gives users access across all devices and platforms - Windows, iOS, Android, web). No need to repeat the process on every device.
- Unlimited Users Per Device: Supports unlimited users on shared workstations without restrictions unlike traditional systems that impose restrictions.Designed to scale to large organizations with thousands of employees.
Privacy, Security & Compliance
OLOID offers a Privacy-Centric design where there is no image retention. Facial images are not stored; instead, facial landmarks are converted into a secure numerical template ("data blob") that is meaningless without context and cannot be reverse-engineered. Compliant with GDPR, HIPAA, CCPA, and BIPA, with advanced consent capture for custom legal integration. Ideal for industries needing strict privacy compliance, like healthcare, manufacturing, and finance.
- Opt-In Consent Model: Users are given a choice to opt-in before enrollment. The consent system can present re-consent forms as regulations evolve.
- Anonymized Data: Facial data does not contain personally identifiable information (PII) and is securely tied to badge or employee IDs.
- Data De-identification: Biometric data stored as encrypted facial vectors in the Face Vault, with optional de-identification (D-ID) for enhanced privacy.
- End-to-End Encryption: Facial data is securely encrypted at rest and in transit using AWS KMS with AES-256, meeting global data protection standards.
- Data Auto-Deletion: Facial templates and related metadata are auto-deleted when users are removed from HR or SSO systems, reducing risks of data retention.
Ideal Usage Scenarios
OLOID’s facial authentication is ideal for diverse environments, including:
- Shared workstations for frontline workers and rotating shifts
- Operations where hands-free authentication enhances productivity
- Use cases requiring presence detection and continuous authentication for secure session management
- Industries that demand compliance with strict MFA but cannot use mobile phones or security keys
- Organizations seeking seamless access across devices and platforms
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Featured integrations
OLOID platform seamlessly integrates with your existing infrastructure for easy install & ongoing management.
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Leveraging Facial Authentication for Worker identity: The OLOID Approach
This blog explores how OLOID leverages facial authentication technology to enhance worker identity verification in industrial and workplace environments. It explains how OLOID’s FaceVault platform ensures privacy and data protection by using encrypted digital templates instead of storing complete facial images. Learn how OLOID’s approach balances security, convenience, and ethical use of biometric technology to enable safe, contactless access control and attendance management.
Facial Authentication vs Facial Recognition: Key Differences
This blog explores the differences between facial authentication and facial recognition, two similar yet distinct technologies that analyze facial features using computer algorithms. It explains how facial authentication focuses on one-to-one identity verification, while facial recognition identifies individuals from larger databases or crowds. Gain insights into their unique applications, accuracy factors, privacy concerns, and the ethical debates surrounding their use.
FAQs on face authentication for frontline systems
What hardware is required for OLOID face authentication?
OLOID face authentication works with standard webcams or built-in cameras on laptops, tablets, kiosks, and other shared devices. No specialized or proprietary hardware is required, making it easy to deploy across existing enterprise and frontline environments.
How does OLOID protect against spoofing and unauthorized access?
OLOID uses passive liveness detection to verify that a real, present individual is in front of the camera, helping prevent presentation attacks using photos or replayed videos. After login, continuous presence detection can monitor whether the authenticated user remains at the device, automatically locking or ending the session if the user steps away.
Does face authentication work in different lighting and operational conditions?
Yes. OLOID’s facial authentication technology is designed to operate reliably across a range of environments, including indoor clinical spaces, retail floors, warehouses, and industrial settings with varying lighting conditions.
How is facial biometric data stored and protected?
OLOID does not store facial images. Instead, facial features are converted into encrypted, de-identified biometric templates stored in the Face Vault. No personally identifiable image data is retained. Biometric data is encrypted in transit and at rest and is automatically deleted when users are removed from connected HR or identity systems.
Can face authentication support MFA and compliance requirements?
Yes. Face authentication can be used as a standalone factor or combined with badges, NFC, QR codes, or PINs to support multi-factor authentication policies. OLOID’s Face Vault and biometric workflows align with global privacy and security standards, including iBeta Level 5 biometric certification, GDPR, HIPAA, and CCPA, helping organizations meet regulatory and compliance requirements.
Making every day-in-the-life of frontline workers frictionless & secure!
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