OCR for QC and Smart Tally

1.Function Introduction

Based on artificial intelligence visual analysis, at various stages and processes of port operations, identify and report the truck number, container number, ISO code, container door, lead seal, dangerous goods mark, damage and other situations.

2.Technical indicators

The accuracy of container number recognition is greater than 99%, and the accuracy of vehicle number recognition is greater than 99.6%;

Support video streaming and capture recognition, with a single recognition time of less than 100 milliseconds;

Suitable for container and vehicle identification on shore bridges, supporting container damage detection;

Scalable as an intelligent cargo handling system under the quay crane, providing container data to TOS

3.system function

Container number recognition, external truck number recognition, internal truck number recognition, container door direction recognition, container damage recognition, dangerous goods sign recognition, lead seal recognition

4.System advantages

By adopting an intelligent vision solution and utilizing the SmartDONN artificial intelligence algorithm, visual data is analyzed and processed to quickly and accurately complete character recognition such as container numbers for container damage recognition, reducing the time required for container number confirmation.

Accurate positioning and segmentation, AI based RGB image analysis, neural network algorithm.