Number Plate Scanner
Optimize vehicle flow, enhance security and streamline access management.
Optimize vehicle flow, enhance security and streamline access management.
The automatic number plate recognition (ANPR) uses advanced AI-powered computer vision for identifying vehicles and managing access control. This solution is extensively used by distribution centers, warehouses and in supply chain logistics. Number plate scanners help eliminate manual errors, speed up vehicle processing and let only authorized vehicles enter specific areas.
Manual tracking of vehicles by humans at entry and exit points can lead to errors, delays and incorrect access.
Identify and log vehicle license plates, ensure its error-free and streamline the process using AI.
Traditional access management relies on humans. Not just does it delay the process, but errors can also lead to security vulnerabilities.
Our ANPR can integrate with automated gates to manage access, based on a pre-defined authorization list.
Managing high volumes of vehicles at the entry/exit point can create bottlenecks when manual process is deployed.
Process license plate information instantly for faster vehicle movements and reduced congestion at critical points.
The ability to recognize number plates is adversely affected by poor lighting, weather or condition of the license plates.
Our system can operate with the same efficiency in low light, adverse weather and with dirty license plates.
Number plate scanners support numerous industries and stakeholders as they drive efficiency and security.
High-resolution cameras are strategically placed to capture images of container codes across various scenarios.
Diverse dataset of container images is gathered, annotated and augmented to train a robust model.
A deep learning model like CNN is trained on the prepared dataset. The hyperparameters are optimized for optimal performance.
The trained model is integrated in existing systems and deployed for real-time processing, with speed and efficiency.
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