Container Number Automatic Recognition System Samut Prakan Thailand
The ACNR Container Number Automatic Recognition System leverages Deep Learning and CCTV technology to automate the management and recording of container numbers with over 95% accuracy. It can seamlessly integrate with various business systems.
The ACNR Container Number Automatic Recognition System was developed to significantly enhance container management in logistics and warehousing operations. By combining advanced computer vision technology powered by Deep Learning with CCTV cameras, the system accurately reads container numbers and automatically records them into a database. In addition to container numbers, the system also accurately collects related information such as shipping line codes, container types, and weights. This reduces manual recording errors and improves operational efficiency.
Features
High-precision recognition: Achieves over 95% accuracy in recognizing container numbers, ensuring precise data collection.
Automatic data collection: Automatically records shipping line codes, container numbers, container types, and weights.
Evidence preservation function: Automatically saves images showing the condition of containers.
Video recording function: Saves work history as video clips, making it easy to review past data.
Flexible system integration: Smooth integration with existing business systems like ERP, TOS, WMS, and more.
Specifications
System Configuration: Equipped with a Deep Learning model, integrated with CCTV cameras
Recognition Accuracy: Over 95%
Compatible Systems: ERP, TOS, WMS, weight measurement software, gate barrier control systems, etc.
Stored Data: Container numbers, shipping line codes, container types, weights, video clips, images
Connection Methods: LAN, Wi-Fi, API support
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.