Hairui Future | Fujian Electronic Port Smart Port Project Landing in Santos Port, Brazil
『Hai RuiBrazil
Zhichuangthe future』
Santos, located in the city of Santos, Sao Paulo, Brazil, was built in 1543,port has an average water depth of 11.5 meters and a wharf length of about 6 kilometers,is the largest seaport in Brazil with a throughput of 23.5 million tons. Fujian electronic port as a domestic port field of artificial intelligence technology leader,'s "Hairui Future"brand is a leader in artificial intelligence products and solutions in the domestic port sector,this project landed in the port of Santos, Brazil, symbolizingFujian e-port successfully expands overseas business and serves overseas ports.
Fujian Electronic Port focuses on the scientific and technological innovation of algorithm research and software and hardware integration in the field of artificial intelligence, and makes full use of the industry-leading artificial intelligence technology to empower the "wharf revolution",provides ports with a range of overall solutions for safe operations, process improvement, machine vision automation applications and AI operations scheduling..
collection card anti-lifting system TLPS
Trailer Lifting PreventSystem
HaiRui's self-developed card collection anti-lifting system in the future, by identifying the multi-dimensional information of the card collection, comprehensively judge the risk of the card collection being lifted,Timely and reasonable intervention and restriction of equipment action, avoid accidents caused by lifting the card.
collection card anti-lifting system
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Hairui will use deep neural network-based machine vision technology and laser redundancy to achieve the lowest lifting alarm height in the industry to ensure operational safety and system stability.Realize "tires not leaving the ground" to be hoisted.
* as low as the tire does not leave the ground (0cm), from the results of the anti-lifting function supplier product competition in a first-line automated terminal in early 2022.
Hairui Future-Visual Anti-Hoisting Advantage
throughTwo-stage machine learning, that is, in the recognition stage and the lifting logic judgment stage, neural networks are used for direct judgment to achieve a comprehensive judgment ability far higher than that of human beings. Finally, in most cases, "tires do not leave the ground" will report the lifting alarm and stop the lifting.
Hairui Future-Laser Anti-lifting Advantage
is different from the traditional laser simple switch judgment directly output results, and by raising the laser installation position and improve the lifting alarm height at the expense of reducing false positives;Complex Single Line Laser Timing Understanding Algorithm Based on Machine Learning, filter the influence of frame height and external drag guide plate, reduce the lifting alarm height and reduce the false alarm rate.
