AIML-powered
Client
AIML-powered tire verification system
Project
AI-Powered Tire Verification System (Doping Project)
Industry
Objective
The objective was to automate the tire verification process using AI to reduce manual errors, inspection time, and labor costs. By integrating IoT-enabled PDA devices and a cloud-based reporting system, the goal was to ensure real-time data logging, improve compliance, eliminate paperwork, and boost overall productivity.
✓ Solutions Implemented
- • AI-powered automated verification system to ensure tire size consistency.
- • ML-based barcode scanning to validate serial number and barcode alignment.
- • IoT-enabled PDA devices for real-time alerts and data logging.
- • Cloud-based reporting system for compliance tracking.
⚠ Key Challenges
- • Manual inspection led to errors and inefficiencies.
- • Time-consuming verification process for tire sizes and barcode alignment.
- • No digital record-keeping, making audits difficult.
- • High dependency on paperwork.
Key Benefits
80%
Reduction in Inspection Time
99%
Accuracy in Barcode Verification
60%
Increase in Productivity
30%
Cost Savings in Labor Expenses
Technology Stack
LanguagesPython
DatabasePostgreSQL
CloudOn Premise
FrameworksDjango
AI/MLTensorFlow
Results & ROI
- ✓ Significant reduction in inspection time
- ✓ Reduced labor costs through automation
- ✓ Noticeable improvement in overall productivity
- ✓ Complete elimination of manual paperwork
- ✓ Enhanced compliance and audit readiness
- ✓ Streamlined and digitized verification workflow
Conclusion
The AI-powered verification system transformed manual tire inspections into an efficient, automated process — boosting accuracy, reducing costs, and streamlining operations. This project highlights the impact of smart technologies in modernizing manufacturing workflows.