{"id":13579,"date":"2025-05-28T16:09:37","date_gmt":"2025-05-28T14:09:37","guid":{"rendered":"http:\/\/localhost:8888\/atenanew\/?post_type=portfolio&p=13579"},"modified":"2025-09-12T12:14:34","modified_gmt":"2025-09-12T10:14:34","slug":"ai-port","status":"publish","type":"portfolio","link":"https:\/\/www.atenaweb.com\/en\/portfolio\/ai-port\/","title":{"rendered":"AI-PORT"},"content":{"rendered":"

[vc_row row_height_percent=”0″ overlay_alpha=”50″ gutter_size=”4″ column_width_percent=”100″ shift_y=”0″ z_index=”0″ content_parallax=”0″ uncode_shortcode_id=”120295″][vc_column column_width_percent=”100″ gutter_size=”3″ overlay_alpha=”50″ border_color=”color-220570″ border_style=”solid” shift_x=”0″ shift_y=”0″ shift_y_down=”0″ z_index=”0″ medium_width=”0″ mobile_width=”0″ sticky=”yes” width=”2\/3″ uncode_shortcode_id=”190828″ border_color_type=”uncode-palette”][vc_column_text uncode_shortcode_id=”187761″]Ports are essential to the global economy, serving as key hubs for international trade. Port efficiency is crucial for the smooth flow of supply chains.<\/p>\n

However, the increase in port traffic presents significant challenges, particularly in mitigating the environmental impact of docked ships and vehicles within terminals. Emission reduction is a priority for many countries, with the International Maritime Organization (IMO) aiming for zero emissions by 2050.<\/p>\n

Solutions include optimizing logistics operations and technological innovation in ports. A key indicator of port efficiency is dwell time, which measures how long a container stays in the port before being transferred.<\/p>\n

A high dwell time indicates logistical inefficiencies and a negative environmental impact, with increased emissions and noise pollution caused by congestion.<\/p>\n

Poor communication between port operators and transport companies contributes to this problem, causing disorganization, operational delays, and accidents. The proposed solution introduces a geolocation and visual identification system, using digital cameras and a convolutional neural network to detect the position of trailers within the port, recording cargo information and trailer license plates.<\/p>\n

This data is managed through a web application that provides guidance on optimal routes, considering factors such as congestion and ongoing operations. The system, based on a reinforcement learning neural network, improves over time through feedback, adapting to the port\u2019s dynamic changes.<\/p>\n

This technology helps reduce emissions and enhance safety, promoting port logistics that are more efficient, sustainable, and secure.[\/vc_column_text][\/vc_column][vc_column column_width_percent=”100″ gutter_size=”2″ overlay_alpha=”50″ shift_x=”0″ shift_y=”0″ shift_y_down=”0″ z_index=”0″ medium_width=”0″ mobile_width=”0″ width=”1\/3″ uncode_shortcode_id=”101471″][vc_accordion typography=”advanced” sign=”plus” label_border=”yes” gutter_simple=”1″ active_bg_color=”color-xsdn” radius=”std” shadow=”xs” heading_semantic=”h5″ titles_size=”fontsize-514499″ titles_transform=”uppercase” uncode_shortcode_id=”173901″ active_bg_color_type=”uncode-palette”][vc_accordion_tab gutter_size=”2″ column_padding=”2″ title=”Info” tab_id=”1746644408-1-57″][vc_column_text text_lead=”small” uncode_shortcode_id=”170626″]Type of action: RIA
\nTiming: 11.10.2024 \u2013 11.10.2025
\nWebsite: to be defined
\nBudget: \u20ac 324,750.00[\/vc_column_text][\/vc_accordion_tab][vc_accordion_tab gutter_size=”2″ column_padding=”2″ title=”Funding” tab_id=”1746644408-2-14″][vc_column_text text_lead=”small” uncode_shortcode_id=”114213″]ECOSISTEMA DELL\u2019INNOVAZIONE RAISE[\/vc_column_text][\/vc_accordion_tab][vc_accordion_tab gutter_size=”2″ column_padding=”2″ title=”Coordinator” tab_id=”1746644561877-2-0″][vc_column_text text_lead=”small” uncode_shortcode_id=”838276″]Universit\u00e0 degli Studi di Napoli Parthenope \u2013 UniParthenope[\/vc_column_text][\/vc_accordion_tab][vc_accordion_tab gutter_size=”2″ column_padding=”2″ title=”Partner” tab_id=”1746644584626-3-7″][vc_column_text text_lead=”small” uncode_shortcode_id=”107949″]Atena<\/p>\n

HyTECS[\/vc_column_text][\/vc_accordion_tab][vc_accordion_tab gutter_size=”2″ column_padding=”2″ title=”Country” tab_id=”1746644596960-4-9″][vc_column_text text_lead=”small” uncode_shortcode_id=”101679″]Italy[\/vc_column_text][\/vc_accordion_tab][\/vc_accordion][vc_empty_space empty_h=”2″][vc_button button_color=”color-114015″ size=”btn-lg” wide=”yes” hover_fx=”full-colored” border_width=”0″ scale_mobile=”no” uncode_shortcode_id=”777857″ link=”url:https%3A%2F%2Fwww.atenaweb.com%2Fwp-content%2Fuploads%2F2025%2F05%2Fscheda-tecnica-progetto-AI-PORT.pdf|target:_blank|” button_color_type=”uncode-palette”]DATA SHEET[\/vc_button][\/vc_column][\/vc_row]<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"

Computer vision AI to optimize port logistics operations.<\/p>\n","protected":false},"author":1,"featured_media":13585,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"portfolio_category":[152],"class_list":["post-13579","portfolio","type-portfolio","status-publish","has-post-thumbnail","hentry","portfolio_category-past-granted-projects"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.atenaweb.com\/en\/wp-json\/wp\/v2\/portfolio\/13579","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.atenaweb.com\/en\/wp-json\/wp\/v2\/portfolio"}],"about":[{"href":"https:\/\/www.atenaweb.com\/en\/wp-json\/wp\/v2\/types\/portfolio"}],"author":[{"embeddable":true,"href":"https:\/\/www.atenaweb.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.atenaweb.com\/en\/wp-json\/wp\/v2\/comments?post=13579"}],"version-history":[{"count":2,"href":"https:\/\/www.atenaweb.com\/en\/wp-json\/wp\/v2\/portfolio\/13579\/revisions"}],"predecessor-version":[{"id":13892,"href":"https:\/\/www.atenaweb.com\/en\/wp-json\/wp\/v2\/portfolio\/13579\/revisions\/13892"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.atenaweb.com\/en\/wp-json\/wp\/v2\/media\/13585"}],"wp:attachment":[{"href":"https:\/\/www.atenaweb.com\/en\/wp-json\/wp\/v2\/media?parent=13579"}],"wp:term":[{"taxonomy":"portfolio_category","embeddable":true,"href":"https:\/\/www.atenaweb.com\/en\/wp-json\/wp\/v2\/portfolio_category?post=13579"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}