SunBio IT Solutions developed an AI-driven number plate recognition system that automates vehicle identification, enhancing efficiency and accuracy in wheel alignment operations.
Client: Manatec Pvt. Ltd.
Industry: Automotive Equipment & Diagnostics
Core Technologies: AI Vision Automation, Automatic Number Plate Recognition (ANPR), Edge AI Processing, Wheel Aligner Software Integration
Executive Summary
Manatec Pvt. Ltd., a prominent leader in automotive diagnostic equipment, faced workflow delays and human error risks caused by manual vehicle identification during the wheel alignment process. By partnering with SunBio IT Solutions, Manatec integrated a custom, edge-based ANPR (Automatic Number Plate Recognition) system directly with their wheel aligner software, achieving instant vehicle recognition and seamless system synchronization.
The Challenge
Manual Vehicle Identification & Workflow Delays
Traditional manual data entry in high-throughput automotive service bays introduced several bottlenecks:
- Human Errors: Operators frequently mistyped or skipped vehicle entries, resulting in severe data mismatches.
- Service Delays: Manual registration procedures slowed down vehicle turnaround times during peak hours.
- Poor Traceability: Service records lacked efficient, automated searchability and tracking by license plate.
- System Disconnect: A complete lack of integration between the wheel aligner display and incoming vehicle data streams.
The Solution
ANPR-Driven Real-Time Display Automation
SunBio IT Solutions deployed a high-performance computer vision architecture designed specifically for diagnostic environments:
- High-Speed ANPR Camera: Captures clear license plate data automatically as vehicles pull into the alignment bay.
- Edge-Based Processing: On-premises AI recognition ensures low latency, fast response times, and zero cloud dependency.
- Smart Integration Module: Middleware that bridges the camera output and transfers decoded plate data directly to the wheel aligner display.
- Cross-Platform Compatibility: An API-driven structural framework capable of supporting varied machine and software interfaces.
- Robust Offline Functionality: Engineered to operate reliably even without a continuous internet connection.
System Architecture
Seamless Integration Between Hardware and Software
- Camera Input Layer: High-definition ANPR cameras stream live video feeds directly to the local processing unit.
- Processing Engine: An Edge AI model decodes license plate characters in real time.
- Integration Layer: Middleware connects the vision output to the aligner’s software interface.
- Display Trigger: Instantly updates the operator screen with the correct vehicle identification parameters.
Results & Impact
Faster Operations, Zero Manual Errors
| Metric/Area | Before Automation | After SunBio Automation | Impact |
| Vehicle Registration | Manual data entry | Automated via ANPR | 100% accuracy in identification |
| Alignment Setup Time | 30–45 seconds per vehicle | Under 10 seconds | 75% reduction |
| Data Traceability | Manual record lookup | Instant retrieval by plate | Complete visibility |
| Operator Load | One operator per bay | Shared across bays | Improved labor efficiency |
Business Impact
- Accelerated Throughput: Dramatically reduced setup times and increased service vehicle throughput per bay.
- Error Elimination: Eradicated manual data entry mistakes, boosting overall diagnostic service reliability.
- Enhanced Customer Experience: Delivered faster turnaround times and smoother workshop flows.
- Scalable Framework: Easily replicable across multiple service centers and franchise facilities.
- Industry Leadership: Positioned Manatec as a trailblazer in AI-integrated automotive diagnostic systems.
Conclusion
The integration of SunBio IT Solutions’ ANPR and AI vision technology marks a massive operational upgrade for Manatec. By removing manual data entry hurdles, accelerating bay setups by 75%, and achieving 100% identification accuracy, this automation architecture establishes a new standard for modern automotive service diagnostics.