Fuwei Intelligence's "AI Quay Crane Recognition System" utilizes high-definition cameras and intelligent industrial computers as its core, leveraging edge computing to optimize speed, security, reliability, and scalability. The front-end deep learning algorithm accurately extracts video features, reduces transmission loss, and enables real-time recognition of container numbers, trailer numbers, and damages, along with rapid data processing. This meets the high demands of tally operations for real-time performance and agility, thereby enhancing operational efficiency.

The "AI Quay Crane Recognition System" employs high-definition cameras and AI industrial computers installed on quay cranes, fully leveraging the advantages of edge computing in terms of speed, security, reliability, and scalability. The front-end deep learning algorithm for AI recognition achieves "front-end perception and multi-layer cognition," enabling more precise extraction of video feature data and avoiding quality loss from video and image codec transmission. This approach is more accurate and efficient than back-end perception. All raw data collected at the front end is aggregated into the quay crane's AI industrial computer. Features such as container numbers, trailer numbers, and container damages can be automatically and quickly recognized at the front end, completing structured data processing. For tally operation scenarios, the real-time and agile recognition of container and trailer numbers meets the business requirements of tally operations more effectively. The AI deep learning algorithm continuously improves its performance as the data scale increases, with a significant and stable enhancement in average recognition rates.

The system's core functionalities include an automatic video tracking module, PLC-triggered linkage control module, truck number module, container number recognition module, ISO code recognition module, and automatic container damage detection module. These components collectively enable the system to perform container number recognition, container type and size identification, container damage inspection, and container truck number recognition. The system automatically uploads the recognized container information to the intelligent container tally platform, achieving backend AI automated tally operations. This reduces the number of tally personnel required on the front lines and improves tally efficiency.