Number Plate Scanner
Optimize vehicle flow, enhance security and streamline access management.
Optimize vehicle flow, enhance security and streamline access management.
Our Automatic Number Plate Recognition (ANPR) solution uses advanced AI computer vision. It is for identifying vehicles and managing secure access. This License Plate Recognition System is extensively deployed in distribution centers. Also, in warehouses and across supply chain logistics. The system eliminates manual errors and speeds up vehicle processing. It even ensures that only authorized vehicles enter designated areas by using a Vehicle License Plate Scanner. It is through a reliable Vehicle Access Control mechanism.
Manually monitoring vehicles at entry and exit points often leads to delays, incorrect entries, and compromised records. This affects the efficiency of the Vehicle Tracking System.
Manually monitoring vehicles at entry and exit points often leads to delays, incorrect entries, and compromised records. This affects the efficiency of the Vehicle Tracking System.
Traditional methods lack automated safeguards. Our Vehicle Access Management System helps tighten security by replacing human error with reliable automation.
Vehicles are granted access instantly based on authorization rules with License Plate Recognition (LPR) integrated into barrier systems.
Our system handles bulk vehicle entries efficiently. It is by using Smart Number Plate Recognition. This reduces bottlenecks at critical entry/exit points.
Process vehicle information in real-time to ensure fast movement and reduced congestion. This is by using intelligent Number Plate Recognition System technology.
Environmental challenges such as poor lighting or dirt on plates impact many systems. But our solution delivers consistently accurate results.
The solution performs flawlessly under harsh conditions by making it great for industrial or outdoor use. It is designed for durability.
Number plate scanners support numerous industries and stakeholders as they drive efficiency and security.
High-resolution cameras are installed strategically to capture license plates under diverse conditions.
A rich collection of vehicle images is collected, annotated and refined. It is to build a robust AI model.
Deep learning models are developed (e.g., CNN). It is to achieve high accuracy in detecting license plates in real scenarios.
The system is deployed and integrated with existing infrastructure. This is for real-time vehicle recognition and gate automation.
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7:45AM at a busy automotive parts manufacturer. A delivery truck arrived at the dock. Usually, supervisors would take 10 minutes to scan paperwork. They’d also be keying in data. Instead, a camera quietly recorded the container ID, logged upon its arrival. And it tagged the shipment to a specific production line. All without a single […]
CEO & Co-founder
It’s 2:14 PM at a busy CFS gate. A trailer rolls in. The container is old, dusty and sun faded. The number is readable, but only if you look closely. The driver wants to move fast. The queue behind him is growing. The gate operator does what they have always done. Reads the container number. […]
CEO & Co-founder
Modern logistics depend on speed. Accuracy and visibility keep logistics moving. Across container yards and CFS hubs… teams still face blind spots. They rely on manual checks and delayed data. This leads to missed damages and inefficient movement of assets. Logistics teams can see clearly by combining cameras with computer vision. They can understand and […]
CEO & Co-founder
