{"id":3366,"date":"2025-03-26T15:42:17","date_gmt":"2025-03-26T13:42:17","guid":{"rendered":"https:\/\/itapply.eu\/?p=3366"},"modified":"2025-05-06T14:06:50","modified_gmt":"2025-05-06T11:06:50","slug":"chicken-egg-production-accounting-and-quality-control-solution","status":"publish","type":"post","link":"https:\/\/applyit.lv\/en\/chicken-egg-production-accounting-and-quality-control-solution\/","title":{"rendered":"CHICKEN EGG PRODUCTION ACCOUNTING AND QUALITY CONTROL SOLUTION"},"content":{"rendered":"[vc_row type=&#8221;full_width_content&#8221; full_screen_row_position=&#8221;middle&#8221; column_margin=&#8221;default&#8221; column_direction=&#8221;default&#8221; column_direction_tablet=&#8221;default&#8221; column_direction_phone=&#8221;default&#8221; scene_position=&#8221;center&#8221; left_padding_desktop=&#8221;7%&#8221; right_padding_desktop=&#8221;7%&#8221; text_color=&#8221;dark&#8221; text_align=&#8221;left&#8221; row_border_radius=&#8221;none&#8221; row_border_radius_applies=&#8221;bg&#8221; 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overflow=&#8221;visible&#8221; class=&#8221;jaunumi_Inner_block&#8221; overlay_strength=&#8221;0.3&#8243; gradient_direction=&#8221;left_to_right&#8221; shape_divider_position=&#8221;bottom&#8221; bg_image_animation=&#8221;none&#8221; gradient_type=&#8221;default&#8221; shape_type=&#8221;&#8221;][vc_column column_padding=&#8221;no-extra-padding&#8221; column_padding_tablet=&#8221;inherit&#8221; column_padding_phone=&#8221;inherit&#8221; column_padding_position=&#8221;all&#8221; column_element_direction_desktop=&#8221;default&#8221; column_element_spacing=&#8221;default&#8221; desktop_text_alignment=&#8221;default&#8221; tablet_text_alignment=&#8221;default&#8221; phone_text_alignment=&#8221;default&#8221; background_color_opacity=&#8221;1&#8243; background_hover_color_opacity=&#8221;1&#8243; column_backdrop_filter=&#8221;none&#8221; column_shadow=&#8221;none&#8221; column_border_radius=&#8221;none&#8221; column_link_target=&#8221;_self&#8221; column_position=&#8221;default&#8221; el_class=&#8221;open_post_2col_text&#8221; gradient_direction=&#8221;left_to_right&#8221; overlay_strength=&#8221;0.3&#8243; width=&#8221;1\/2&#8243; tablet_width_inherit=&#8221;small_desktop&#8221; animation_type=&#8221;default&#8221; bg_image_animation=&#8221;none&#8221; border_type=&#8221;simple&#8221; column_border_width=&#8221;none&#8221; column_border_style=&#8221;solid&#8221; column_padding_type=&#8221;default&#8221; gradient_type=&#8221;default&#8221; offset=&#8221;vc_col-lg-6 vc_col-md-6 vc_col-xs-12&#8243;][vc_column_text el_class=&#8221;jaunumi_inner_text&#8221;]\n<div class=\"xdj266r x11i5rnm xat24cr x1mh8g0r x1vvkbs x126k92a\">\n<div dir=\"auto\">\n<h4>CHICKEN EGG PRODUCTION ACCOUNTING AND QUALITY CONTROL SOLUTION<\/h4>\n<p class=\"s2\"><strong><span class=\"s3\">Project background<\/span><span class=\"s3\">:<\/span><\/strong><\/p>\n<p class=\"s2\">The objective was to develop AI solutions to replace existing mechanical solutions. Firstly, to perform online egg counting from each hen house and determine egg quality (by shape, color, shell structure, and deviations from quality criteria). Secondly, during production egg-cracking equipment could not determine when the machinery needed improvement, specifically when the cracking knives needed to be sharpened or replaced which affected the quality of the final product.<\/p>\n<p class=\"s2\"><strong><span class=\"s4\">Biggest challenge<\/span><span class=\"s4\">s<\/span><span class=\"s4\">:<\/span> <\/strong><span class=\"s5\">products have similar visual characteristics, which makes classification difficult.<\/span><\/p>\n<p class=\"s2\"><strong><span class=\"s3\">Solution<\/span><span class=\"s3\">: <\/span><\/strong><\/p>\n<p class=\"s2\">Production monitoring system has been developed and implemented to automate the collection of data on the amount and quality of eggs produced per hen house per day. This enables the assessment of production volumes and hen health status. The system also monitors quality of theproduced eggs by analysing the quality of the egg whites and yolks, which is used to determine whether the technical equipment needs improvement.<\/p>\n<p class=\"s2\">The system works in real-time. Computer vision and machine learning solutions have been developed and adapted to perform two different tasks &#8211; egg quality and counting control and quality control of cracked eggs. The data is collected from a real environment &#8211; production site, and is integrated with the company&#8217;s accounting system. The system works in a containerised environment.<\/p>\n<p class=\"s2\"><strong><span class=\"s3\">Key benefits<\/span><span class=\"s3\">: <\/span><\/strong><\/p>\n<ul>\n<li class=\"s6\">Improved production process, reduced production line downtime;<\/li>\n<li class=\"s6\">Optimised costs for data acquisition and processing;<\/li>\n<li class=\"s6\">Accelerated extraction and processing of quality data;<\/li>\n<li class=\"s6\">Real-time tracking and remote monitoring.<\/li>\n<\/ul>\n<\/div>\n<\/div>\n[\/vc_column_text][\/vc_column][vc_column column_padding=&#8221;no-extra-padding&#8221; column_padding_tablet=&#8221;inherit&#8221; column_padding_phone=&#8221;inherit&#8221; column_padding_position=&#8221;all&#8221; column_element_direction_desktop=&#8221;default&#8221; column_element_spacing=&#8221;default&#8221; desktop_text_alignment=&#8221;default&#8221; tablet_text_alignment=&#8221;default&#8221; phone_text_alignment=&#8221;default&#8221; background_color_opacity=&#8221;1&#8243; background_hover_color_opacity=&#8221;1&#8243; 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