[fusion_builder_container background_color=”#545454″ background_parallax=”none” enable_mobile=”no” parallax_speed=”0.3″ background_repeat=”no-repeat” background_position=”center center” video_aspect_ratio=”16:9″ video_mute=”yes” video_loop=”yes” fade=”no” border_size=”0px” border_style=”solid” padding_top=”20″ padding_bottom=”20″ hundred_percent=”no” equal_height_columns=”no” hide_on_mobile=”no”][fusion_builder_row][fusion_builder_column type=”1_1″ layout=”1_1″ background_position=”left top” background_color=”” border_size=”” border_color=”” border_style=”solid” spacing=”yes” background_image=”” background_repeat=”no-repeat” padding_top=”” padding_right=”” padding_bottom=”” padding_left=”” margin_top=”0px” margin_bottom=”0px” class=”” id=”” animation_type=”” animation_speed=”0.3″ animation_direction=”left” hide_on_mobile=”no” center_content=”no” min_height=”none” last=”no” hover_type=”none” link=”” border_position=”all”][fusion_title hide_on_mobile=”small-visibility,medium-visibility,large-visibility” class=”” id=”” content_align=”left” size=”1″ font_size=”” line_height=”” letter_spacing=”” margin_top=”1em” margin_bottom=”1em” text_color=”” style_type=”none” sep_color=””]
Machine Learning Ship-Recognition System
[/fusion_title][/fusion_builder_column][/fusion_builder_row][/fusion_builder_container][fusion_builder_container background_parallax=”none” enable_mobile=”no” parallax_speed=”0.3″ background_repeat=”no-repeat” background_position=”left top” video_aspect_ratio=”16:9″ video_mute=”yes” video_loop=”yes” fade=”no” border_style=”solid” padding_top=”20″ padding_bottom=”0″ hundred_percent=”no” equal_height_columns=”no” hide_on_mobile=”no”][fusion_builder_row][fusion_builder_column type=”1_1″ layout=”2_3″ last=”no” spacing=”yes” center_content=”no” hide_on_mobile=”no” background_color=”” background_image=”” background_repeat=”no-repeat” background_position=”left top” hover_type=”none” link=”” border_position=”all” border_size=”0px” border_color=”” border_style=”” padding_top=”” padding_right=”” padding_bottom=”” padding_left=”” margin_top=”” margin_bottom=”” animation_type=”” animation_direction=”” animation_speed=”0.1″ animation_offset=”” class=”” id=”” min_height=””][fusion_text columns=”” column_min_width=”” column_spacing=”” rule_style=”default” rule_size=”” rule_color=”” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” class=”” id=””]
Identify and respond to threats more effectively.
Identifying whether or not a vessel is a threat is a blend of art and science. Extensive training and practice are required for maximum proficiency. Rite-Solutions’ machine learning (ML) ship-recognition system increases the application of science using leading-edge technology to assist ship personnel with this age-old challenge.
By using existing training images and building artificial intelligence (AI) inference models using machine learning, Rite-Solutions Machine Learning Ship-Recognition System can help watch-standers do their jobs more quickly and with greater accuracy. Additionally, with the ability to enhance the inference capabilities in the field in real-time, this machine learning approach to ship recognition improves the Navy’s ability to identify ships and determine the best course of action.
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- Help sailors to identify vessels more quickly and accurately
- Complement decision support tools, improve CO’s decision– making ability and confidence
- Scale and update ship-recognition capabilities across an entire fleet, in near-real time
- Leverage on-shore expertise
- Expand the number of viewpoints, using unmanned vehicles and other devices, to enhance visual recognition capabilities
[/fusion_text][/fusion_builder_column][fusion_builder_column type=”1_3″ layout=”1_3″ last=”yes” spacing=”yes” center_content=”no” hide_on_mobile=”yes” background_color=”” background_image=”” background_repeat=”no-repeat” background_position=”left top” hover_type=”none” link=”” border_position=”all” border_size=”0px” border_color=”” border_style=”solid” padding_top=”” padding_right=”” padding_bottom=”” padding_left=”” margin_top=”” margin_bottom=”” animation_type=”0″ animation_direction=”down” animation_speed=”0.1″ animation_offset=”” class=”” id=”” min_height=””][fusion_imageframe image_id=”2586|medium” max_width=”” style_type=”none” blur=”” stylecolor=”” hover_type=”none” bordersize=”0px” bordercolor=”” borderradius=”0″ align=”none” lightbox=”no” gallery_id=”” lightbox_image=”” lightbox_image_id=”” alt=”Ship-Recognition System” link=”” linktarget=”_self” hide_on_mobile=”no” class=”” id=”” animation_type=”” animation_direction=”down” animation_speed=”0.1″ animation_offset=””]https://www.rite-solutions.com/wp-content/uploads/2019/08/Chinese_Crop-300×157.png[/fusion_imageframe][/fusion_builder_column][fusion_builder_column type=”1_1″ layout=”1_1″ spacing=”” center_content=”no” link=”” target=”_self” min_height=”” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” class=”” id=”” background_color=”” background_image=”” background_image_id=”” background_position=”left top” background_repeat=”no-repeat” hover_type=”none” border_size=”0″ border_color=”” border_style=”solid” border_position=”all” padding_top=”” padding_right=”” padding_bottom=”” padding_left=”” margin_top=”” margin_bottom=”” animation_type=”” animation_direction=”left” animation_speed=”0.3″ animation_offset=”” last=”no”][fusion_button link=”/machine-learning-ship-recognition-system-brochure/” text_transform=”” title=”” target=”_self” link_attributes=”” alignment=”center” modal=”” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” class=”” id=”” color=”blue” button_gradient_top_color=”” button_gradient_bottom_color=”” button_gradient_top_color_hover=”” button_gradient_bottom_color_hover=”” accent_color=”” accent_hover_color=”” type=”” bevel_color=”” border_width=”” size=”” stretch=”default” shape=”” icon=”” icon_position=”left” icon_divider=”no” animation_type=”” animation_direction=”left” animation_speed=”1.0″ animation_offset=””]Download the Machine Learning Ship-Recognition System Brochure[/fusion_button][/fusion_builder_column][/fusion_builder_row][/fusion_builder_container][fusion_builder_container background_parallax=”none” enable_mobile=”no” parallax_speed=”0.3″ background_repeat=”no-repeat” background_position=”left top” video_aspect_ratio=”16:9″ video_mute=”yes” video_loop=”yes” fade=”no” border_style=”solid” padding_top=”0″ padding_bottom=”20″ hundred_percent=”no” equal_height_columns=”no” hide_on_mobile=”no”][fusion_builder_row][fusion_builder_column type=”1_1″ layout=”1_1″ background_position=”left top” background_color=”” border_size=”” border_color=”” border_style=”solid” spacing=”yes” background_image=”” background_repeat=”no-repeat” padding_top=”” padding_right=”” padding_bottom=”” padding_left=”” margin_top=”0px” margin_bottom=”0px” class=”” id=”” animation_type=”” animation_speed=”0.3″ animation_direction=”left” hide_on_mobile=”no” center_content=”no” min_height=”none” last=”no” hover_type=”none” link=”” border_position=”all”][fusion_title size=”2″ content_align=”left” style_type=”none” /][fusion_text columns=”” column_min_width=”” column_spacing=”” rule_style=”default” rule_size=”” rule_color=”” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” class=”” id=””]
A resident expert in a small form factor.
Historically, the processing power required for artificial intelligence and machine learning was too great to have on-board, or object inference latency was too slow to be effective. Imagine using decision support aids like Alexa and Siri on a submarine. Today, ultra-compact, low-power, edge-computing devices are specialized, small, and powerful enough to handle a trained neural network model while fitting in the palm of a hand and running off batteries. So AI capabilities can be integrated into command systems on a submarine, surface ship, unmanned underwater vehicle (UUV), drones, mines, and even handheld devices like binoculars.
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Edge computing allows the Navy to keep data on-board, safe and secure. The system can recognize ships independently and does not need network connectivity to perform.
[/fusion_li_item][/fusion_checklist][fusion_imageframe image_id=”2587|medium” max_width=”” style_type=”none” blur=”” stylecolor=”” hover_type=”none” bordersize=”0px” bordercolor=”” borderradius=”0″ align=”center” lightbox=”no” gallery_id=”” lightbox_image=”” lightbox_image_id=”” alt=”Rite-View Screenshot” link=”” linktarget=”_self” hide_on_mobile=”no” class=”” id=”” animation_type=”” animation_direction=”down” animation_speed=”0.1″ animation_offset=””]https://www.rite-solutions.com/wp-content/uploads/2019/08/Screen-Shot-2019-08-21-at-12.34.04-PM-300×182.png[/fusion_imageframe][/fusion_builder_column][fusion_builder_column type=”1_3″ layout=”1_3″ last=”no” spacing=”yes” center_content=”no” hide_on_mobile=”no” background_color=”” background_image=”” background_repeat=”no-repeat” background_position=”left top” hover_type=”none” link=”” border_position=”all” border_size=”0px” border_color=”” border_style=”” padding_top=”” padding_right=”” padding_bottom=”” padding_left=”” margin_top=”” margin_bottom=”” animation_type=”” animation_direction=”” animation_speed=”0.1″ animation_offset=”” class=”” id=”” min_height=””][fusion_checklist icon=”fa-stop fas” iconcolor=”#1772b8″ circle=”no” circlecolor=”” size=”16px” divider=”” divider_color=”” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” class=”” id=””][fusion_li_item icon=””]
Images used to train sailors are also used to train the system’s machine learning model to recognize different vessels.
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While using the system, sailors can “flag” unknown vessels/ Small-sized models (instead of images) can be shared throughout the fleet, while not interfering with real-time missions.
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When subs return to port, “flagged” objects and images are securely transferred to on-shore personnel for further analysis and added to the model to further enhance recognition capabilities.
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