Executive Summary

As Chinese internet platforms continue to expand into global markets, building a reliable identity verification system across different countries has become a critical foundation for business localization. For freight platforms, the authenticity of driver identity and vehicle information directly impacts transaction trust and platform security.

Qmove, a leading global freight platform, faced this challenge while expanding its overseas operations. By building an automated driver verification system, the platform improved driver registration efficiency and developed the capability to support different document systems across multiple countries, laying a scalable foundation for future market expansion.

Business Challenge: Efficient Driver Verification Across Global Markets

About Qmove

Qmove is one of the world’s leading freight platforms, connecting drivers and shippers through a digital platform to improve transportation efficiency and optimize logistics resource allocation.

In its China operations, Qmove had already adopted FinAuth’s financial-grade face identity verification capabilities to verify driver identities. As the company began expanding overseas, it aimed to extend this mature verification framework to new markets and complete driver registration and identity checks efficiently across different countries.

However, once overseas operations began, the complexity of driver verification proved to be far greater than expected. This directly affected driver onboarding efficiency, operating costs, and the platform’s ability to build a trusted transaction environment.

Pain Point: Large Differences in Documents Across Countries

Driver onboarding requirements vary significantly by country. Drivers may need to submit national IDs, driver’s licenses, vehicle registration documents, and other local qualification documents.

These documents differ widely in layout, field structure, and language. Traditional OCR technology often supports only a limited set of standard documents. For example, some systems cannot recognize information on the back side of ID cards, while country-specific documents such as vehicle registration certificates, NOC documents, and SRC professional qualification certificates are difficult to support consistently.

If small OCR models are adapted country by country, each new market would require separate model training. This increases technical costs and slows down the platform’s speed of international expansion.

Technical Challenge: Complex Real-World Capture Conditions

Drivers typically upload identity documents and vehicle photos in real-world environments, where images may contain glare, folds, uneven lighting, or occluded information. Vehicle photos are also captured from inconsistent angles and may include different vehicle types such as three-wheelers and motorcycles.

These factors reduce recognition accuracy and increase the likelihood of failed driver verification. As driver volume continues to grow, relying mainly on manual review would limit efficiency and create increasing pressure on operations teams.

Solution: Automated Verification Across Driver, Document, and Vehicle

To address the complexity of global driver verification, Qmove built an automated driver verification system based on FinAuth’s global identity verification capabilities. The system enables drivers to complete multi-dimensional identity checks during the registration process.

1. The platform verifies the driver’s real identity through face verification. The system checks the submitted selfie and compares it against the portrait images extracted from multiple identity documents, confirming whether the registering user is the legitimate document holder.
2. The system supports automated recognition and structured processing of national IDs, driver’s licenses, vehicle registration documents, passports, and selected country-specific qualification documents. It extracts key fields such as name, date of birth, and document number. Before recognition, the system also performs image quality and compliance checks to identify issues such as blur, glare, underexposure, overexposure, recapture, tampering, and occlusion, improving recognition accuracy and review efficiency from the source.
3. The platform further extracts key information from vehicle registration documents and vehicle photos, including license plate number, vehicle type, and vehicle owner. This information is cross-validated against key fields from identity documents and driver’s licenses to complete driver-document consistency, driver-vehicle consistency, and driver-vehicle-document consistency checks.

When core information such as name, license plate number, and date of birth is consistent, the system can automatically approve the verification. If abnormalities are detected, the case is routed to manual review. Through this approach, the driver verification process has evolved from a fully manual model to an automated-first model supported by manual review, significantly improving verification efficiency.

Customer Quote

“After entering overseas markets, we needed to handle complex document systems and driver registration scenarios across different countries. By building an automated identity verification system, we are able to complete identity checks quickly during driver onboarding while maintaining the platform’s risk control and trust foundation. This also provides important support for our expansion into more countries.”

— Head of Overseas Business

Business Impact: A Scalable Global Driver Verification Framework

Through its collaboration with FinAuth, Qmove successfully established an automated driver verification system covering global markets, enabling unified verification management across drivers, identity documents, and vehicle information.

The platform upgraded its original manual-review-based process into a hybrid model combining automated review and manual secondary review. This improved operational efficiency while maintaining review accuracy.

Built on a unified verification framework, the platform can support document types, languages, and regulatory requirements across different countries and regions. During driver registration, the system can complete liveness verification, face-to-ID matching, driver-document consistency checks, driver-vehicle consistency checks, and driver-vehicle-document consistency checks, helping the platform build a more trusted transaction environment.

At the same time, the verification system is highly scalable. When Qmove enters a new country, it no longer needs to rebuild the entire verification process from scratch. Instead, it can quickly onboard new markets by adding local document rules and verification logic. This reduces operational complexity during global expansion and provides Qmove with a stable, efficient, and sustainable identity verification foundation for continued international growth.