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AI-Powered Driver ID Recognition System for Smart Car-Sharing Platform

diffco.us

Automotive

Logistics

Business services

Challenges in Document Recognition and Localization

Need to accurately process Arabic-language driver IDs and diverse international license formats with varying layouts, visual distortions, and security features using automated OCR solutions, while existing technologies lacked sufficient accuracy and training data for Arabic script

About the Client

Car-sharing service automating vehicle rentals through a mobile app, serving individual users and corporate clients with fleets across 33 Saudi cities

Key Project Goals

Develop custom AI training model for Arabic OCR with 96%+ accuracy
Create robust document recognition system for varied driver ID formats
Streamline user enrollment through automated document verification
Enable seamless integration with existing mobile app infrastructure
Support expansion into Middle Eastern markets

Core System Capabilities

Arabic script optical character recognition engine
Multi-format driver ID template recognition
Glare/watermark compensation algorithms
Two-factor authentication integration
Mobile SDK for app integration
Automated document quality assessment

Technology Stack

OpenCV

Dlib

Tensorflow

Torch

Firebase ML

System Integrations

Shift mobile app ecosystem
AWS cloud infrastructure
Docker containerization
CUDA processing framework

Performance Criteria

96%+ recognition accuracy
Real-time processing under 3s
Multi-tenancy support
GDPR-compliant data handling
Scalable cloud architecture

Business Transformation Outcomes

Enables 30% faster user onboarding, reduces manual verification costs by 75%, supports 33-city operational expansion in Saudi Arabia, and establishes foundation for Middle East market penetration through localized Arabic language processing capabilities