{"id":6956,"date":"2020-06-02T13:01:32","date_gmt":"2020-06-02T13:01:32","guid":{"rendered":"https:\/\/dynamo-led-displays.co.uk\/?post_type=product&#038;p=6956"},"modified":"2023-02-07T19:42:05","modified_gmt":"2023-02-07T19:42:05","slug":"covid-thermal-detection-and-facemask-clocking-in-units","status":"publish","type":"product","link":"https:\/\/dynamo-led-displays.com\/es\/producto\/covid-thermal-detection-and-facemask-clocking-in-units\/","title":{"rendered":"Covid Thermal Detection and Facemask Clocking In Units"},"content":{"rendered":"<figure id=\"attachment_6976\" aria-describedby=\"caption-attachment-6976\" style=\"width: 1300px\" class=\"wp-caption alignnone\"><a href=\"https:\/\/dynamo-led-displays.com\/wp-content\/uploads\/2020\/06\/IMG_1776.jpg\"><img fetchpriority=\"high\" decoding=\"async\" class=\"wp-image-6976 size-full\" title=\"Pedestal mount\" src=\"https:\/\/dynamo-led-displays.com\/wp-content\/uploads\/2020\/06\/IMG_1776.jpg\" alt=\"Pedestal mount\" width=\"1300\" height=\"978\" srcset=\"https:\/\/dynamo-led-displays.com\/wp-content\/uploads\/2020\/06\/IMG_1776.jpg 1300w, https:\/\/dynamo-led-displays.com\/wp-content\/uploads\/2020\/06\/IMG_1776-300x226.jpg 300w, https:\/\/dynamo-led-displays.com\/wp-content\/uploads\/2020\/06\/IMG_1776-1024x770.jpg 1024w, https:\/\/dynamo-led-displays.com\/wp-content\/uploads\/2020\/06\/IMG_1776-768x578.jpg 768w, https:\/\/dynamo-led-displays.com\/wp-content\/uploads\/2020\/06\/IMG_1776-600x451.jpg 600w\" sizes=\"(max-width: 1300px) 100vw, 1300px\" \/><\/a><figcaption id=\"caption-attachment-6976\" class=\"wp-caption-text\">Pedestal mount<\/figcaption><\/figure>\n<figure id=\"attachment_6975\" aria-describedby=\"caption-attachment-6975\" style=\"width: 1300px\" class=\"wp-caption alignnone\"><a href=\"https:\/\/dynamo-led-displays.com\/wp-content\/uploads\/2020\/06\/IMG_1775.jpg\"><img decoding=\"async\" class=\"wp-image-6975 size-full\" title=\"Pedestal mount\" src=\"https:\/\/dynamo-led-displays.com\/wp-content\/uploads\/2020\/06\/IMG_1775.jpg\" alt=\"Pedestal mount\" width=\"1300\" height=\"449\" srcset=\"https:\/\/dynamo-led-displays.com\/wp-content\/uploads\/2020\/06\/IMG_1775.jpg 1300w, https:\/\/dynamo-led-displays.com\/wp-content\/uploads\/2020\/06\/IMG_1775-300x104.jpg 300w, https:\/\/dynamo-led-displays.com\/wp-content\/uploads\/2020\/06\/IMG_1775-1024x354.jpg 1024w, https:\/\/dynamo-led-displays.com\/wp-content\/uploads\/2020\/06\/IMG_1775-768x265.jpg 768w, https:\/\/dynamo-led-displays.com\/wp-content\/uploads\/2020\/06\/IMG_1775-600x207.jpg 600w\" sizes=\"(max-width: 1300px) 100vw, 1300px\" \/><\/a><figcaption id=\"caption-attachment-6975\" class=\"wp-caption-text\">Pedestal mount<\/figcaption><\/figure>\n<p><a href=\"https:\/\/dynamo-led-displays.com\/wp-content\/uploads\/2020\/06\/IMG_1774.jpg\"><img decoding=\"async\" class=\"alignnone wp-image-6974 size-full\" title=\"Wall mount\" src=\"https:\/\/dynamo-led-displays.com\/wp-content\/uploads\/2020\/06\/IMG_1774.jpg\" alt=\"Wall mount\" width=\"1172\" height=\"901\" srcset=\"https:\/\/dynamo-led-displays.com\/wp-content\/uploads\/2020\/06\/IMG_1774.jpg 1172w, https:\/\/dynamo-led-displays.com\/wp-content\/uploads\/2020\/06\/IMG_1774-300x231.jpg 300w, https:\/\/dynamo-led-displays.com\/wp-content\/uploads\/2020\/06\/IMG_1774-1024x787.jpg 1024w, https:\/\/dynamo-led-displays.com\/wp-content\/uploads\/2020\/06\/IMG_1774-768x590.jpg 768w, https:\/\/dynamo-led-displays.com\/wp-content\/uploads\/2020\/06\/IMG_1774-600x461.jpg 600w\" sizes=\"(max-width: 1172px) 100vw, 1172px\" \/><\/a><\/p>\n<p>For preventing the spread of COVID-19 (Coronavirus),<\/p>\n<p>Thermal Detector with Time attendance system that adopts the new AI chipset, large thermal sensor array, and the latest algorithm, providing the cutting-edge face recognition and body temperature detection, with the ability to detect if employees are wearing a mask.<\/p>\n<p>&nbsp;<\/p>\n<h2>High Accuracy<\/h2>\n<p>\u00b1 0.2 \u00b0 C forehead temperature detection<br \/>\n99.9%<\/p>\n<h2>Face recognition<\/h2>\n<p>the best solution for access control and time attendance system Fast Detection 50ms temperature + 200ms face recognition measurement<\/p>\n<h2>Long detection range<\/h2>\n<p>0.3 m ~ 1.2 m forehead body temperature detection<\/p>\n<h2>Wear mask recognition<\/h2>\n<p>Support face recognition with face mask, recognition rate&gt; 95% Detection range: up to 2 meters<br \/>\nSupports 1: 1 or 1: N face comparison<\/p>\n<h2>Attribute Recognition<\/h2>\n<p>It can be set up to recognize if employees are wearing hard hates etc.<\/p>\n<h2>Variety of door access control Support<\/h2>\n<p>Face recognition for door access control, is compatible with many brands.<\/p>\n<h2>multi-language support<\/h2>\n<p>English, Spanish, French, Italian, Russian, Japanese, Korean UI<\/p>\n<p>&nbsp;<\/p>\n<figure id=\"attachment_6972\" aria-describedby=\"caption-attachment-6972\" style=\"width: 1300px\" class=\"wp-caption alignnone\"><a href=\"https:\/\/dynamo-led-displays.com\/wp-content\/uploads\/2020\/06\/IMG_1778.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-6972 size-full\" title=\"Covid Thermal Detection and Facemask Clocking In Units\" src=\"https:\/\/dynamo-led-displays.com\/wp-content\/uploads\/2020\/06\/IMG_1778.jpg\" alt=\"Covid Thermal Detection and Facemask Clocking In Units\" width=\"1300\" height=\"789\" srcset=\"https:\/\/dynamo-led-displays.com\/wp-content\/uploads\/2020\/06\/IMG_1778.jpg 1300w, https:\/\/dynamo-led-displays.com\/wp-content\/uploads\/2020\/06\/IMG_1778-300x182.jpg 300w, https:\/\/dynamo-led-displays.com\/wp-content\/uploads\/2020\/06\/IMG_1778-1024x621.jpg 1024w, https:\/\/dynamo-led-displays.com\/wp-content\/uploads\/2020\/06\/IMG_1778-768x466.jpg 768w, https:\/\/dynamo-led-displays.com\/wp-content\/uploads\/2020\/06\/IMG_1778-600x364.jpg 600w\" sizes=\"(max-width: 1300px) 100vw, 1300px\" \/><\/a><figcaption id=\"caption-attachment-6972\" class=\"wp-caption-text\">Covid Thermal Detection and Facemask Clocking In Units<\/figcaption><\/figure>\n<table cellspacing=\"0\" cellpadding=\"0\">\n<tbody>\n<tr>\n<td valign=\"top\"><b>Hardware Specifications <\/b>Model<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<td valign=\"top\">Hero-TD01-G<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"top\">Item<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<td valign=\"top\">Specification<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"top\">Sensor Type<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<td valign=\"top\">Uncooled infrared focal plane array<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"top\">Infrared Thermography camera<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<td valign=\"top\">120*90<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"top\">Thermal measurement range<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<td valign=\"top\">0.3m-1.2m<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"top\">Thermal measurement accuracy<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<td valign=\"top\">\u00b10.2\u2103<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"top\">Hardware<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"top\">Processer<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<td valign=\"top\">AI chipset ARM Cortex-A7 quad-core, 4 x high performance CEVA DSP<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"top\">OS<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<td valign=\"top\">Linux<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"top\">Storage<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<td valign=\"top\">8GB EMMC+1GB DDR4<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"top\">LCD<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<td valign=\"top\">7 inch, 1024*600 resolution<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"top\">Camera<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"top\">Sensor<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<td valign=\"top\">Dual 2Mp, low lux sensor<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"top\">WDR<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<td valign=\"top\">\u2265120dB<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"top\">FoV (Diagonal\/horizontal\/ vertical)<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<td valign=\"top\">73degree \/65 degree \/40 degree<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"top\">Iris<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<td valign=\"top\">F2.0<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"top\">Focus length<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<td valign=\"top\">4.3mm<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"top\">Performance<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"top\">Biopsy<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<td valign=\"top\">Anti-electronic screen, video, mask hacker attack<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"top\">Recognize height<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<td valign=\"top\">1.2~2.2 meter, angel adjustable<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"top\">Detection range<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<td valign=\"top\">0.5m~2m, lens adjustable<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"top\">Face library<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<td valign=\"top\">30,000 (default)<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"top\">Attendance Record<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<td valign=\"top\">30,000<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"top\">Face angle<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<td valign=\"top\">horizontal 30 degree, vertical 30 degree<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"top\">Interface<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"top\">Alarm input<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<td valign=\"top\">2 pcs<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"top\">Alarm output<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<td valign=\"top\">1 pcs<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"top\">Access control<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<td valign=\"top\">Push out<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"top\">Power supply<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<td valign=\"top\">DC12V , 2A ( 9 -16V DC)<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"top\">Power consumption<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<td valign=\"top\">Less than 24W<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"top\">Ethernet<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<td valign=\"top\">1 pcs RJ45 10M \/ 100M Ethernet<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"top\">Wifi<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<td valign=\"top\">2.4G Wi-Fi (Optional)<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"top\">USB<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<td valign=\"top\">1 pcs USB 2.0<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"top\">General<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"top\">Working Temperature<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<td valign=\"top\">-40 \u2103~ + 60 \u2103.<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\">Dimensions<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<td valign=\"top\">120mm*226.5mm*33.5mm<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<table cellspacing=\"0\" cellpadding=\"0\">\n<tbody>\n<tr>\n<td valign=\"top\"><b>Algorithm Parameters <\/b>Application<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<td valign=\"top\">Items<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<td valign=\"top\">Description<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"top\">Face recognition<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<td valign=\"top\">Face recognition<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<td valign=\"top\">Local recognition: 30,000 (default )<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"top\">Algorithm accuracy<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<td valign=\"top\">99.9%@0.01% \uff08The accuracy rate is 99% under the 10,000th false alarm rate\uff09<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"top\">Angle requirements<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<td valign=\"top\">Yaw \u00b130\u00b0\uff0croll \u00b130\u00b0\uff0cpitch \u00b115\u00b0<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"top\">Face minimum pixels<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<td valign=\"top\">Face size above 80 * 80 pixels<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"top\">Face biopsy detection<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<td valign=\"top\">Angle requirements<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<td valign=\"top\">Yaw \u00b130\u00b0\uff0croll \u00b130\u00b0\uff0cpitch \u00b115\u00b0<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"top\">Face pixel requirements<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<td valign=\"top\">Interpapillary distance 50 pixels and above<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"top\">Algorithm accuracy<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<td valign=\"top\">98%@0.01% \uff08Real pass rate@Dummy pass rate\uff09<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"top\">Non-biopsy category<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<td valign=\"top\">Pictures, videos, coated paper, fake face models, etc.<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"top\">Face detection and tracking<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<td valign=\"top\">Number of people captured<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<td valign=\"top\">More than 30 people\/frame<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"top\">Snap frame rate<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<td valign=\"top\">25fps<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"top\">Minimum face size<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<td valign=\"top\">30*30<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"top\">Adaptation angle<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<td valign=\"top\">Yaw \u00b145\u00b0\uff0croll \u00b145\u00b0\uff0cpitch \u00b130\u00b0<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"top\">Face attribute<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<td valign=\"top\">Item<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<td valign=\"top\">Gender, age, glasses, facial expression (angry, calm, happy, sad, surprised), mask, ethnicity, beard, ethnicity, hat detection, helmet detection<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"top\">Algorithm accuracy<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<td valign=\"top\">Age accuracy (\u00b1 five years old): more than 85%;<span class=\"Apple-converted-space\">\u00a0<\/span><\/p>\n<p>Gender accuracy: more than 96%; Skin colour accuracy: more than 97%; Beard accuracy: more than 97%; Glasses accuracy: more than 98%; Mask accuracy: more than 98%; Has accuracy: more than 97%; Expression accuracy: more than 88%<span class=\"Apple-converted-space\">\u00a0<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"excerpt":{"rendered":"<p><b>Fast Detection<span class=\"Apple-converted-space\">\u00a0<\/span><\/b><\/p>\n<p><b>(0.05s, the fastest in the market)<span class=\"Apple-converted-space\">\u00a0<\/span><\/b><\/p>\n<p><b>Long Detection Range<span class=\"Apple-converted-space\">\u00a0<\/span><\/b><\/p>\n<p>\uff08<b>0.3m~1.2m, no mis-detection and protect people)<span class=\"Apple-converted-space\">\u00a0<\/span><\/b><\/p>\n<p><b>High Accuracy<span class=\"Apple-converted-space\">\u00a0<\/span><\/b><\/p>\n<p><b>(<\/b>\u00b1<b>0.2<\/b>\u2103 <b>forehead temperature<span class=\"Apple-converted-space\">\u00a0<\/span><\/b><\/p>\n<p><b>99.9% Face recognition: fantastic solution for access control )<span class=\"Apple-converted-space\">\u00a0<\/span><\/b><\/p>\n<p>&nbsp;<\/p>\n<p><strong>Powerful AI Chipset <\/strong><\/p>\n<p>With ISP technologies, images are able to avoid shadowing shorten the detection.<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"featured_media":6978,"comment_status":"open","ping_status":"closed","template":"","meta":{"site-sidebar-layout":"default","site-content-layout":"default","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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