[et_pb_section fb_built=”1″ _builder_version=”4.5.1″ _module_preset=”default” background_image=”https://sigmacognition.ai/wp-content/uploads/2021/05/bg-sigma3.jpg” custom_padding=”60px||43px|||” animation_style=”slide” animation_direction=”top” hover_enabled=”0″ background_last_edited=”on|phone” background_color_gradient_end_tablet=”rgba(0,42,71,0.44)” background_color_gradient_end_phone=”rgba(0,42,71,0.44)” background_color_gradient_overlays_image_tablet=”off” background_color_gradient_overlays_image_phone=”off” locked=”off” title_text=”bg-sigma3″][et_pb_row use_custom_gutter=”on” gutter_width=”2″ make_equal=”on” module_class=”service-ti-sub” _builder_version=”4.5.1″ _module_preset=”default” width=”90%” width_tablet=”90%” width_phone=”90%” width_last_edited=”on|tablet” max_width=”1210px” max_width_tablet=”90%” max_width_phone=”90%” max_width_last_edited=”on|desktop” custom_padding=”0px||0px||true|”][et_pb_column type=”4_4″ _builder_version=”4.7.7″ _module_preset=”default”][et_pb_text _builder_version=”4.5.1″ _module_preset=”default” header_font=”Josefin Sans|700|||||||” header_text_align=”center” header_text_color=”#ffffff” header_font_size=”60px” header_line_height=”0.9em” header_2_font=”Alata|700|||||||” header_2_text_align=”center” header_2_text_color=”#ffffff” header_2_font_size=”40px” header_2_line_height=”1.5em” header_3_font=”Alata|600|||||||” header_3_text_align=”center” header_3_text_color=”#000000″ header_3_font_size=”54px” header_3_letter_spacing=”-1px” custom_margin=”30px||||false|false” header_3_font_size_tablet=”” header_3_font_size_phone=”35px” header_3_font_size_last_edited=”on|phone”]
Livestock Health
[/et_pb_text][et_pb_text _builder_version=”4.5.1″ text_font=”Josefin Sans||||||||” text_text_color=”#ffffff” text_font_size=”20px” text_line_height=”1.5em” text_orientation=”center” text_font_size_tablet=”” text_font_size_phone=”20px” text_font_size_last_edited=”on|phone”]How Sigma’s AI platform can estimate the cow’s body condition score.[/et_pb_text][/et_pb_column][/et_pb_row][/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.5.1″ _module_preset=”default” locked=”off”][et_pb_row column_structure=”1_2,1_2″ use_custom_gutter=”on” gutter_width=”1″ make_equal=”on” module_class=”ser-img-text” _builder_version=”4.5.1″ _module_preset=”default” width=”90%” max_width=”1170px” max_width_tablet=”90%” max_width_phone=”” max_width_last_edited=”on|phone” custom_padding=”0px||0px||true|false” hover_enabled=”0″ locked=”off” width__hover_enabled=”on|desktop” background_enable_image=”off”][et_pb_column type=”1_2″ module_class=”ds-vertical-align” _builder_version=”4.5.1″ _module_preset=”default” background_enable_image=”off” background_position=”top_left” animation_style=”slide” animation_direction=”left”][et_pb_image src=”https://sigmacognition.ai/wp-content/uploads/2021/02/D-8-Livestock1.jpg” alt=”livestock” title_text=”D-8-Livestock1″ align=”center” _builder_version=”4.5.1″ _module_preset=”default”][/et_pb_image][/et_pb_column][et_pb_column type=”1_2″ module_class=”ds-vertical-align” _builder_version=”4.5.1″ _module_preset=”default” background_enable_image=”off” custom_padding=”60px|60px|60px|60px|true|true” custom_padding_tablet=”” custom_padding_phone=”30px|30px|30px|30px|true|true” custom_padding_last_edited=”on|phone” animation_style=”slide” animation_direction=”right”][et_pb_text _builder_version=”4.5.1″ _module_preset=”default” header_2_font=”Josefin Sans|700|||||||” header_2_text_align=”center” header_2_text_color=”#ffffff” header_2_font_size=”25px” header_3_font=”Livvic|700|||||||” header_3_text_align=”center” header_3_text_color=”#ffffff” header_3_font_size=”36px” header_3_line_height=”1.3em” module_alignment=”center” custom_margin=”||21px|-31px|false|false” custom_margin_tablet=”-10px||||false|false” custom_margin_phone=”-10px||||false|false” custom_margin_last_edited=”on|phone”]
The Challenge
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Body condition can be used to early detect transition cow diseases (TCD). Currently the body condition score (BCS) is mainly scored visually and infrequently, so early detection of diseases is difficult. One of the world leading research groups of Ruminant Population Health based in the UK wanted to test the application of artificial intelligence to the body condition score estimation.
Sigma’s Computer Vision recognizes patterns with a very high accuracy, including thermal image patterns.
[/et_pb_text][/et_pb_column][/et_pb_row][/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.5.1″ _module_preset=”default” background_image=”https://sigmacognition.ai/wp-content/uploads/2021/02/D-Livestock-health.jpg” parallax=”on” parallax_method=”off” custom_margin_tablet=”40px||||false|false” custom_margin_phone=”40px||||false|false” custom_margin_last_edited=”on|phone” custom_padding=”50px||50px||true|false” top_divider_color=”#ffffff” top_divider_height=”40px” top_divider_flip=”vertical” top_divider_height_tablet=”” top_divider_height_phone=”20px” top_divider_height_last_edited=”on|phone” locked=”off”][et_pb_row column_structure=”1_2,1_2″ use_custom_gutter=”on” gutter_width=”2″ make_equal=”on” module_class=”ser-text-img” _builder_version=”4.5.1″ _module_preset=”default” width=”90%” width_tablet=”90%” width_phone=”90%” width_last_edited=”on|tablet” max_width=”1210px” max_width_tablet=”90%” max_width_phone=”90%” max_width_last_edited=”on|desktop” custom_margin=”|auto|33px|auto||” custom_padding=”0px||0px|||” locked=”off”][et_pb_column type=”1_2″ _builder_version=”4.5.1″ _module_preset=”default” background_color=”#ffffff” custom_padding=”40px|25px|40px|25px|true|true” animation_style=”slide” link_option_url=”#” border_radii=”on|5px|5px|5px|5px” box_shadow_style=”preset1″ box_shadow_vertical=”0px” box_shadow_blur=”48px” box_shadow_color=”rgba(0,0,0,0)” box_shadow_color__hover_enabled=”on|desktop” box_shadow_color__hover=”rgba(162,162,162,0.5)”][et_pb_blurb title=”The Solution” url=”#” content_max_width=”100%” _builder_version=”4.5.1″ _module_preset=”default” header_font=”Josefin Sans|700|||||||” header_text_align=”center” header_text_color=”#00223f” header_font_size=”20px” header_line_height=”1.5em” body_font=”Josefin Sans||||||||” body_text_align=”left” body_text_color=”#00223f” body_font_size=”18px” body_line_height=”1.5em” module_alignment=”center” animation=”off” border_width_right_image=”8px” border_color_right_image=”rgba(0,0,0,0)” header_text_color__hover_enabled=”on|desktop” header_text_color__hover=”#1273EB”]The research group together with Sigma tested a number of thermal video camera locations and analyzed the image quality obtained from each location. Once the right video camera location was determined, the research group collected a large number of thermal video sequences from a population of cows and annotated the body condition score for each image using Sigma’s data annotation tools. Sigma utilized the annotated data to adapt its computer vision algorithms to estimate the body condition score. 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The estimation of the body condition score had two steps: The cow detection and the estimation of the BCS. The cow detector accuracy was 96.5% and the BCS estimation accuracy was 83.5%.
Given the success of the first version of the BCS estimation system, there is a second phase in which more data from a larger cow population will be collected.
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