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Facia is the world's most accurate liveness & deepfake detection solution.
Facial Recognition
Face Recognition Face biometric analysis enabling face matching and face identification.
Photo ID Matching Match photos with ID documents to verify face similarity.
(1:N) Face Search Find a probe image in a large database of images to get matches.
DeepFake
Deepfake Detection New Find if you're dealing with a real or AI-generated image/video.
Detect E-Meeting Deepfakes Instantly detect deepfakes during online video conferencing meetings.
AI-Image Detection New AI Image Detection Detect manipulated or AI-generated images using advanced AI analysis
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Age Verification Estimate age fast and secure through facial features analysis.
Iris Recognition All-round hardware & software solutions for iris recognition applications.
Customer Onboarding New Seamlessly and comprehensively onboard your customers.
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Liveness
Liveness Detection Prevent identity fraud with our fastest active and passive liveness detection.
Single Image Liveness New Detect if an image was captured from a live person or is fabricated.
Shared Device Authentication Verify users on shared devices with secure facial biometrics.
Passwordless SSO Passwordless login powered by 3D liveness detection for secure enterprise access.
Step-Up Authentication Trigger real time 3D liveness checks for high risk or sensitive actions.
Self-Service Account Recovery Restore account access quickly through a face scan with no support needed.
Industries
Retail Access loyalty benefits instantly with facial recognition, no physical cards.
Governments Ensure countrywide security with centralised face recognition services
Dating Apps Secure dating platforms by allowing real & authentic profiles only.
Event Management Secure premises and manage entry with innovative event management solutions.
iGaming Estimate age and confirm your customers are legitimate.
KYC Onboarding Prevent identity spoofing with a frictionless authentication process.
Banking & Financial Prevent financial fraud and onboard new customers with ease.
Contact Liveness Experts To evaluate your integration options.
Use Cases
Account De-Duplication (1:N) Find & eliminate duplicate accounts with our face search.
Access Control Implement identity & access management using face authorization.
Attendance System Implement an automated attendance process with face-based check-ins.
Surveillance Solutions Monitor & identify vulnerable entities via 1:N face search.
Immigration Automation Say goodbye to long queues with facial recognition immigration technology.
Detect E-Meeting Deepfakes New Instantly detect deepfakes during online video conferencing meetings.
Pay with Face Authorize payments using face instead of leak-able pins and passwords.
Facial Recognition Ticketing Enter designated venues simply using your face as the authorized ticket.
Passwordless Authentication Authenticate yourself securely without ever having to remember a password again.
Meeting Deepfake Detection
Know if the person you’re talking to is real or not.
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In This Post
The foundation of every ride is built on trust. The passengers’ trust is that the driver who shows up on the app is the one they signed up with and is verified. If that trust is violated, whether through fake accounts, sharing of accounts, or impersonation, the safety of the passenger and the credibility of the platform are endangered. The ridesharing industry is very competitive, and one incident might hurt the reputation and scare the users away for good.
Biometric identity verification has become the primary authentication method for ride-hailing services. It verifies the driver, ensuring the registered driver is the one operating the car and not a fraudster. They help eliminate fraud, build passenger trust, and enhance rider security, thereby creating a more trustworthy ecosystem for both users and drivers.
The primary aim of this blog is to discuss the Biometric Verification feature’s role in creating and maintaining the passenger’s trust, impersonation prevention, rider safety enhancement, and drivers’ business benefits in ride-hailing services.
Passenger safety begins with confirming that the driver is who they claim to be. Traditional safety measures, including background checks, document verification, and vehicle inspections, are essential. However, they are not foolproof. Just because a driver has successfully gone through the onboarding checks doesn’t mean that the driver who did it is actually the one behind the account during the active shifts.
Here is the point at which biometric identity verification turns out to be a major factor. Ride-hailing companies will be able to verify new drivers and, during key moments of their activity or when suspicious activity is detected, confirm that the driver is the one registered by incorporating face recognition and liveness detection. This is a huge step in the process of identity verification, turning it from a one-off compliance check into a system that prioritizes safety and is therefore scalable.
Ride-hailing apps’ key practices are as follows:
Platforms that have adopted such measures have seen trust levels among passengers go up, the number of complaints go down, and even fewer safety-related incidents are reported. Knowing for sure that the passenger is the verified driver behind the wheel gives them greater confidence and makes them feel safer.
The problems of driver impersonation and account sharing are rapidly increasing in the ride-hailing sector. Drivers who have had their accounts suspended or banned usually try to come back by using a different driver’s credentials. In the same way, some drivers share accounts to get around the platform’s rules or to increase their earning potential. These activities put passenger safety at risk and also bring the platform into face with the challenges of fraud and reputational damage.
The risk is eliminated when the biometric identity verification apps do the following:
Industry research shows that 73% of fraud prevention professionals consider stopping multi-account creation, where bad actors reuse identities, their top priority for combating fraud on ride-hailing and gig platforms. Implementing biometric verification helps reduce such fraud, protect passengers, and maintain platform trust.
In today’s rapidly evolving ride-hailing environment, one-time verification at onboarding is insufficient. Fraudsters are fast to adapt, and static checks allow platforms to be abused in terms of identity. With real-time verification in place, there is a guarantee that the person driving the car and using the account at that particular time is the right one.
Real-time verification has key implementations that are listed below:
It is observed that most passengers prefer rides with verified drivers. Research indicates that drivers with a verified identity tag have a positive impact on the customers’ trust and the occurrence of ride bookings.
Identity verification is used by many leading ride-hailing services primarily to enhance safety for drivers and passengers. For instance, Uber’s Real-Time ID Check has, in practice, verified the identities of more than 99% of drivers. This method fortifies the confidence base without making it difficult for authentic drivers. Through the transition from one-off screenings to constant verification, identity morphs into a continuous safety measure instead of a procedure that can be easily circumvented.
Ride-hailing platforms operate in challenging and unpredictable conditions. Drivers frequently take their pictures in poor lighting, while cars are moving, or when their network connection is unstable. Biometric verification applications must account for real-world challenges while remaining precise and fast.
Some of the important design considerations are:
By offering these features, platforms ensure reliable driver identity verification while making the process effortless for authorized users, resulting in a smooth and safe ride experience.
Passenger and driver trust depends on the responsible use of biometric data. Mismanagement can lead to privacy violations, regulatory fines, and erosion of platform credibility. Ride-hailing platforms should follow privacy-by-design principles:
By prioritizing privacy, platforms signal that they are committed to safety, trust, and operational integrity, factors that passengers increasingly consider when choosing a ride-hailing service.
Biometric verification solutions have measurable effects on ride-hailing platforms:
A secure and scalable ecosystem is built by platforms that combine checkpoint-based driver verification and behavioural analytics. Identity verification is turned into a strategic advantage that builds trust and ensures rider safety rather than just a compliance step.
The industry faces identity and safety challenges, which is where Facia steps in with a solid set of solutions for ride-hailing platforms.
Facia makes every ride-hailing journey safer through advanced biometric identity verification apps.
Biometric verification uses facial recognition or fingerprints to confirm a driver’s identity during onboarding. It ensures that the person driving matches the registered account, reducing fraud and impersonation.
Drivers are typically re-verified periodically or when suspicious activity is detected. This helps maintain ongoing trust and ensures the registered driver remains the same over time.
Biometric data is encrypted and stored securely, often only on the device or in secure servers. Platforms follow strict privacy and regulatory standards to prevent unauthorized access or misuse.
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