Automatic Container Number Recognition System - ACNR's Precision Management Function Thailand Samut Prakan
The ACNR Container Number Automatic Recognition System utilizes Deep Learning and CCTV technology to automate the management and recording of container numbers with over 95% accuracy. Flexible integration with various business systems is possible.
The ACNR Container Number Automatic Recognition System was developed to significantly streamline container management in logistics and warehouse operations. Combining advanced computer vision technology using Deep Learning with CCTV cameras, it reads container numbers with high accuracy and automatically records them in a database. This system accurately collects not only container numbers but also related information such as shipping line codes, container types, and weights. This makes it possible to reduce manual recording errors and improve operational efficiency.
Features
・High-Precision Recognition Capability: Recognizes container numbers with over 95% accuracy, enabling accurate data collection.
・Automatic Data Collection: Automatically records shipping line codes, container numbers, container types, and weights.
・Evidence Preservation Function: Automatically saves images showing the container's condition.
・Video Recording Function: Saves work history as video clips, allowing easy review of past data.
・Flexible System Integration: Seamlessly integrates with existing business systems such as ERP, TOS, and WMS.
Specifications
・System Configuration: Equipped with Deep Learning models, CCTV camera integration
・Recognition Accuracy: Over 95%
・Compatible Systems: ERP, TOS, WMS, weighbridge software, gate barrier control systems, etc.
・Stored Data: Container number, shipping line code, container type, weight, video clips, images
・Connectivity: LAN, Wi-Fi, API compatible
The ACNR system strongly supports the automation and efficiency of logistics.
CONTACT
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Container Number Recognition
VERILY VISION CO., LTD. specializes in digital logistics solutions, driving transformation in Southeast Asia with deep learning and AI technologies to boost efficiency and competitiveness.