ANPR is a highly accurate, AI-powered system for recognizing license plate numbers, even in challenging conditions such as when vehicles are moving quickly, plates have different fonts or are dirty, or the camera angles are difficult.
Automatic Number Plate Recognition (ANPR) is a technology that utilizes optical character recognition to read and identify vehicle registration numbers from images of license plates. This system employs various image processing methods to swiftly and automatically detect vehicles in images, or live video feeds captured by one or multiple cameras.
Long truck turnaround times = delays, high costs, and lower customer satisfaction. ANPR system reduces time and errors by real-time tracking of entry and exit.
Misidentification wastes resources and hampers supply chain efficiency, causing delays, cost increases, and low satisfaction. ANPR accurately locates trucks to optimize resource allocation.
Truck loading errors can lead to stock problems and more complications in logistics operations. ANPR system provides accurate data on the type and volume of goods to prevent overstocking or shortages.
Accurate vehicle identification is critical for smooth operations, saving costs, and building customer relationships. ANPR links vehicle data to billing for efficient billing and real-time error correction.
Long truck queues at logistics facilities hinder supply chain efficiency. ANPR systems use GPS to monitor truck location & queue time, optimizing operations.
Speeding trucks pose a risk to premises and vehicles, leading to damages and losses. ANPR systems can efficiently monitor truck speed in real-time to address this challenge.
Vehicle analytics offers gate-to-highway insights for ops management: in-premise logistics, ERP integration, speed detection, and productivity metrics.
To enhance in-plant logistics productivity, optimize truck turnaround time with truck ID, advanced docking allocation, loading time analysis, and alerts.
Bay utilization can be improved through alerts for empty bays for a specified amount of time to expedite truck availability and maximize the usage of available resources.
99+% detection/count accuracy/ 98+% read accuracy
Accuracy, uptime, remote IoT monitoring service
standard & non-standard, dirty, broken with different fonts & font sizes
100% remote configuration & management work with low-bandwidth networks and low power consumption.
Stop & go and free-flow, Unidirectional & Bi- directional, multiple lane view
Cloud or local optional, database with white-listing & black-listing, customized report generation