{"id":7683,"date":"2024-09-27T18:02:11","date_gmt":"2024-09-27T16:02:11","guid":{"rendered":"https:\/\/ikara.ai\/?page_id=7683"},"modified":"2024-10-31T17:09:12","modified_gmt":"2024-10-31T16:09:12","slug":"uld-tracking","status":"publish","type":"page","link":"https:\/\/ikara.ai\/en\/branches\/transport-logistics\/uld-tracking\/","title":{"rendered":"ULD Tracking"},"content":{"rendered":"

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No delays due to missing or lost ULDs.<\/em><\/p>\n

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REQUEST NOW<\/a><\/div>[vc_empty_space height=”55px”][\/vc_column_inner][vc_column_inner width=”1\/2″][vc_single_image image=”7512″ img_size=”full” alignment=”center” css=””][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row full_width=”stretch_row” parallax=”content-moving” parallax_image=”5051″ css=”.vc_custom_1727731329122{margin-bottom: 0px !important;padding-top: 100px !important;padding-bottom: 0px !important;background-position: center;background-repeat: no-repeat;background-size:cover !important;}”][vc_column css_animation=”fadeInUp” css=”.vc_custom_1682584563688{padding-top: 0px !important;}” el_id=”aipt-title-bg”][vc_raw_html css=””]JTNDaDIlMjBzdHlsZSUzRCUyMmZvbnQtc2l6ZSUzQSUyMDQxcHglM0Jjb2xvciUzQSUyMCUyMzJkMTE1MCUzQmxpbmUtaGVpZ2h0JTNBJTIwNDVweCUzQnRleHQtYWxpZ24lM0ElMjBjZW50ZXIlMjIlMjBjbGFzcyUzRCUyMnZjX2N1c3RvbV9oZWFkaW5nJTIyJTNFT3B0aW1pemVkJTIwcHJvY2Vzc2VzJTIwJTI2YW1wJTNCJTIwJTNDc3Ryb25nJTIwY2xhc3MlM0QlMjJhaXB0LXVuZGVybGluZS10ZXh0JTIyJTNFcmVzb3VyY2VzJTNDJTJGc3Ryb25nJTNFJTNDJTJGaDIlM0U=[\/vc_raw_html]
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IKARA ULD TRACKING is a software module that uses deep learning to detect and identify ULDs (e.g., on containers) in images and videos. This technology can revolutionize the tracking of containers in logistics and supply chain processes. With the help of the latest deep learning technologies, this system can accurately recognize and identify ULDs in real-time on both images and videos, ensuring efficient tracking even under difficult conditions.<\/p>\n

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Our deep learning model is designed to perform exceptionally well in various environments, including different lighting conditions, angles, and camera quality. Whether the ULD is partially obscured, in poor lighting conditions, or in high-contrast environments, the system can still accurately recognize and identify the container, ensuring uninterrupted tracking.<\/p>\n

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Efficiency<\/a>\n <\/h3>\n

Precise hourly reports and the availability of the correct ULD type ensure productivity improvements and smooth transshipment operations during peak times. <\/p> \n <\/div>\n <\/div>\n <\/div>\n