Intelligent vehicle management is becoming increasingly important for businesses facing operational inefficiencies: securing vehicle access control, car park security and payment efficiency, and crowded toll gates from slow manual vehicle classification.
This whitepaper covers:
- Benefits of vehicle classification — reducing human-labour cost, increasing revenue generation and efficiency, reducing fraud losses, and tracking vehicle movement on premises
- The technology — how Tapway VehicleTrack detects and classifies vehicles by shape, locates license plates, and recognizes characters using state-of-the-art deep learning models, all within sub-second prediction speeds
- Deep learning explained — why deep learning achieves much higher accuracy than traditional computer vision algorithms for vehicle detection
- Motion detection trigger — region-of-interest frame comparison that fires the classification model only when a vehicle is present
- ANPR in depth — single-layer and bilayer license plate recognition: how classified characters are arranged and joined to reconstruct the plate string
- Tapway VehicleTrack features — secure multi-factor vehicle access control, free-flow toll collection, parking lot management with utilization reports, traffic violation management, and personalized customer offers based on visit patterns
- Full system architecture — the hybrid edge/cloud model: AI inference at the edge server, data processing and visualization in the cloud — built on AWS IoT Greengrass, Kinesis, Elasticsearch, Lambda, S3, SageMaker, and CloudWatch
Fill in the form to download the full 9-page whitepaper.
