{"id":15735,"date":"2025-09-10T06:52:48","date_gmt":"2025-09-10T06:52:48","guid":{"rendered":"https:\/\/rjoytek.com\/?post_type=product&#038;p=15735"},"modified":"2026-05-21T10:14:39","modified_gmt":"2026-05-21T10:14:39","slug":"rockchip-rk3588s-%ec%98%a5%ed%83%80-%ec%bd%94%ec%96%b4-%ec%95%88%eb%93%9c%eb%a1%9c%ec%9d%b4%eb%93%9c-lcd-%ec%bb%a8%ed%8a%b8%eb%a1%a4%eb%9f%ac-%eb%b3%b4%eb%93%9c","status":"publish","type":"product","link":"https:\/\/rjoytek.com\/kr\/product\/rockchip-rk3588s-%ec%98%a5%ed%83%80-%ec%bd%94%ec%96%b4-%ec%95%88%eb%93%9c%eb%a1%9c%ec%9d%b4%eb%93%9c-lcd-%ec%bb%a8%ed%8a%b8%eb%a1%a4%eb%9f%ac-%eb%b3%b4%eb%93%9c\/","title":{"rendered":"Rockchip RK3588S \uc625\ud0c0\ucf54\uc5b4 Android LCD \ucee8\ud2b8\ub864\ub7ec \ubcf4\ub4dc \u2013 6.0 TOPS AI \uce69\uc14b, Android 11.0, USB 3.0, RJ45"},"content":{"rendered":"<p data-start=\"153\" data-end=\"620\">The <strong data-start=\"173\" data-end=\"187\">RJY-2288B<\/strong> \uace0\uc131\ub2a5 \uba54\uc778\ubcf4\ub4dc\ub294 Rockchip\uc758 \ucc28\uc138\ub300 \ud50c\ub798\uadf8\uc2ed <strong data-start=\"267\" data-end=\"293\">RK3588S AIoT \ud504\ub85c\uc138\uc11c<\/strong>, \ub97c \uae30\ubc18\uc73c\ub85c \ud558\uba70, <strong data-start=\"306\" data-end=\"343\">Android 12.0, Linux, Ubuntu 20.04<\/strong>, \ubc0f \uae30\ud0c0 \uc6b4\uc601\uccb4\uc81c\ub97c \uc9c0\uc6d0\ud569\ub2c8\ub2e4. RK3588S\ub294 <strong data-start=\"398\" data-end=\"427\">8nm LP \uacf5\uc815 \uae30\uc220\ub85c \uc81c\uc791\ub418\uc5c8\uc73c\uba70<\/strong> , <strong data-start=\"444\" data-end=\"468\">\uc625\ud0c0\ucf54\uc5b4 64\ube44\ud2b8 CPU\ub97c \ud0d1\uc7ac\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4<\/strong> with a <strong data-start=\"476\" data-end=\"509\">Cortex-A76 + A55 \uc544\ud0a4\ud14d\ucc98\ub97c \ucc44\ud0dd\ud558\uc5ec<\/strong>, \ucd5c\ub300 \uc8fc\ud30c\uc218 <strong data-start=\"543\" data-end=\"554\">2.4 GHz<\/strong>. \uc5d0 \ub3c4\ub2ec\ud558\ub294 \uad6c\uc870\ub85c \uc81c\uc791\ub418\uc5c8\uc2b5\ub2c8\ub2e4. \uc774\ub294 \ud0c1\uc6d4\ud55c \ubc94\uc6a9 \ucef4\ud4e8\ud305 \uc131\ub2a5\uc744 \uc81c\uacf5\ud569\ub2c8\ub2e4.<\/p>\n<p data-start=\"622\" data-end=\"1097\">. GPU\ub294 \uace0\uae09\ud615 <strong data-start=\"644\" data-end=\"667\">\ucffc\ub4dc\ucf54\uc5b4 Mali-G610<\/strong>, \uc774\uba70, CPU\uc5d0\ub294 <strong data-start=\"695\" data-end=\"730\">AI \uc2e0\uacbd \ucc98\ub9ac \uc7a5\uce58(NPU)\uac00 \ud1b5\ud569\ub418\uc5b4<\/strong> , <strong data-start=\"742\" data-end=\"791\">IN4 \/ IN8 \/ INT16 \ud63c\ud569 \uc815\ubc00\ub3c4 \uc5f0\uc0b0\uc744 \uc9c0\uc6d0\ud569\ub2c8\ub2e4<\/strong>, \ucd5c\ub300 <strong data-start=\"809\" data-end=\"821\">6.0 TOPS<\/strong>. \uae4c\uc9c0 \ub2ec\uc131\ud569\ub2c8\ub2e4. \ud574\ub2f9 \ud50c\ub7ab\ud3fc\uc740 \ub2e4\uc591\ud55c AI \uac1c\ubc1c \ub3c4\uad6c \ubc0f \uc778\ud130\ud398\uc774\uc2a4\ub97c \uc9c0\uc6d0\ud558\uba70, <strong data-start=\"945\" data-end=\"982\">TensorFlow, Caffe, MxNet, PyTorch<\/strong>, \uc640 \uac19\uc740 \ud504\ub808\uc784\uc6cc\ud06c\uc640\uc758 \uc6d0\ud65c\ud55c \ud1b5\ud569\uc744 \uac00\ub2a5\ud558\uac8c \ud558\uace0, <strong data-start=\"1012\" data-end=\"1094\">Android NN API, RKNN \ud06c\ub85c\uc2a4 \ud50c\ub7ab\ud3fc API, TensorFlow \uac1c\ubc1c \uc778\ud130\ud398\uc774\uc2a4<\/strong>.<\/p>\n<p data-start=\"1099\" data-end=\"1490\">. \uc774 \uba54\uc778\ubcf4\ub4dc\ub294 <strong data-start=\"1125\" data-end=\"1161\">\ub2e4\uc911 \ud654\uba74 \ub3c5\ub9bd \ub514\uc2a4\ud50c\ub808\uc774\ub97c \uc9c0\uc6d0\ud569\ub2c8\ub2e4<\/strong>, <strong data-start=\"1163\" data-end=\"1184\">LVDS 1080P \ucd9c\ub825<\/strong>, <strong data-start=\"1186\" data-end=\"1221\">eDP \ubc0f MIPI \ub514\uc2a4\ud50c\ub808\uc774 \uc778\ud130\ud398\uc774\uc2a4<\/strong>, \ubc0f <strong data-start=\"1227\" data-end=\"1245\">HDMI 8K \ucd9c\ub825<\/strong>. \uc744 \ud3ec\ud568\ud55c API\ub97c \uc81c\uacf5\ud569\ub2c8\ub2e4. \ub610\ud55c <strong data-start=\"1311\" data-end=\"1487\">\uae30\uac00\ube44\ud2b8 \uc774\ub354\ub137, Wi-Fi\/\ube14\ub8e8\ud22c\uc2a4, USB \ud655\uc7a5, \uc911\ub825 \uc13c\uc11c, CAN, RS232\/RS485, I\/O \ud655\uc7a5, \ubcf4\uc870 \uc870\uba85, I2C \ud655\uc7a5, MIPI \uce74\uba54\ub77c \uc785\ub825 \ubc0f \uc801\uc678\uc120 \ub9ac\ubaa8\ucee8<\/strong>.<\/p>\n<p data-start=\"1492\" data-end=\"1993\">\uc744 \ud3ec\ud568\ud55c \ub2e4\uc591\ud55c \uc778\ud130\ud398\uc774\uc2a4\uc640 \uae30\ub2a5\uc744 \uc81c\uacf5\ud569\ub2c8\ub2e4. \uac15\ub825\ud55c \uc625\ud0c0\ucf54\uc5b4 AI \ud504\ub85c\uc138\uc11c\uc640 \uad11\ubc94\uc704\ud55c \uc5f0\uacb0\uc131\uc744 \uac16\ucd98 ZYSJ-2288B\ub294 <strong data-start=\"1605\" data-end=\"1807\">AI \ub85c\ubd07\uacf5\ud559, \ud074\ub77c\uc6b0\ub4dc \uc11c\ubc84, \uc2a4\ub9c8\ud2b8 NVR, \uc9c0\ub2a5\ud615 \uc870\uc885\uc11d, ARM PC, \uc5bc\uad74 \uacb0\uc81c \uc7a5\uce58, \ubcf4\uc548, \uc758\ub8cc, \uad50\ud1b5, \uae08\uc735, \uc0b0\uc5c5 \uc81c\uc5b4, \uc2a4\ub9c8\ud2b8 \uad50\uc721 \ubc0f \uc9c0\ub2a5\ud615 \uc18c\ub9e4<\/strong>. . <strong data-start=\"1828\" data-end=\"1856\">\ud558\ub4dc\uc6e8\uc5b4 \ud50c\ub7ab\ud3fc\ud654<\/strong> \ubc0f <strong data-start=\"1861\" data-end=\"1886\">\uc640 \uc18c\ud504\ud2b8\uc6e8\uc5b4 \uc9c0\ub2a5\ud654\uc758 \uacb0\ud569\uc744 \ud1b5\ud574<\/strong> \ubd84\uc57c\uc758 \uc560\ud50c\ub9ac\ucf00\uc774\uc158\uc5d0 \uc774\uc0c1\uc801\uc774\uba70, \ucd5c\uc801\uc758 \uc778\uac04-\uae30\uacc4 \uc0c1\ud638\uc791\uc6a9 \uacbd\ud5d8\uacfc \ub124\ud2b8\uc6cc\ud06c \uc7a5\uce58\uc640\uc758 \uc6d0\ud65c\ud55c \ud1b5\ud569\uc744 \uac00\ub2a5\ud558\uac8c \ud569\ub2c8\ub2e4.<\/p>","protected":false},"excerpt":{"rendered":"<ul>\n<li><strong data-start=\"115\" data-end=\"136\">\uace0\uc131\ub2a5:<\/strong> RK3588S \uc625\ud0c0\ucf54\uc5b4 CPU (Cortex-A76 + A55), \ucd5c\ub300 2.4GHz, Mali-G610 GPU, \ud1b5\ud569 NPU (6.0 TOPS)<\/li>\n<li data-start=\"238\" data-end=\"343\"><strong data-start=\"238\" data-end=\"253\">AI \uc9c0\uc6d0:<\/strong> TensorFlow, Caffe, MxNet, PyTorch\uc640 \ud638\ud658 \uac00\ub2a5; Android NN API \ubc0f RKNN API \uc9c0\uc6d0<\/li>\n<li data-start=\"346\" data-end=\"432\"><strong data-start=\"346\" data-end=\"368\">\uc548\uc815\uc801\uc774\uace0 \uc2e0\ub8b0\uc131 \ub192\uc74c:<\/strong> 24\uc2dc\uac04 \ubb34\uc778 \uc6b4\uc601\uc744 \uc704\ud55c \ucd5c\uc801\ud654\ub41c \ud558\ub4dc\uc6e8\uc5b4 \ubc0f \uc18c\ud504\ud2b8\uc6e8\uc5b4<\/li>\n<li data-start=\"435\" data-end=\"544\"><strong data-start=\"435\" data-end=\"456\">\ub192\uc740 \ud1b5\ud569\uc131:<\/strong> \ub0b4\uc7a5 \uae30\uac00\ube44\ud2b8 \uc774\ub354\ub137, Wi-Fi\/\ube14\ub8e8\ud22c\uc2a4, HDMI, LVDS, eDP, MIPI, \uc624\ub514\uc624, IR, \uc13c\uc11c<\/li>\n<li data-start=\"547\" data-end=\"648\"><strong data-start=\"547\" data-end=\"562\">\ud655\uc7a5 \uac00\ub2a5:<\/strong> \ub2e4\uc911 USB \ud3ec\ud2b8, RS232\/RS485, UART, CAN, I2C, GPIO, AD \uc778\ud130\ud398\uc774\uc2a4 (\uc8fc\ubcc0\uae30\uae30 \uc5f0\uacb0\uc6a9)<\/li>\n<\/ul>","protected":false},"featured_media":15737,"template":"","meta":{"_acf_changed":false,"site-sidebar-layout":"default","site-content-layout":"","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":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}}},"product_brand":[],"product_cat":[110],"product_tag":[319,318,317],"class_list":{"0":"post-15735","1":"product","2":"type-product","3":"status-publish","4":"has-post-thumbnail","6":"product_cat-driver-board","7":"product_tag-android-driver-board","8":"product_tag-android-lcd-controller-board","9":"product_tag-android-lcd-motherboard","10":"desktop-align-left","11":"tablet-align-left","12":"mobile-align-left","13":"ast-product-gallery-layout-horizontal-slider","14":"ast-magnify-disabled","16":"first","17":"instock","18":"shipping-taxable","19":"purchasable","20":"product-type-simple"},"acf":[],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO Pro 4.8.3.2 - aioseo.com -->\n\t<meta name=\"description\" content=\"High Performance: RK3588S octa-core CPU (Cortex-A76 + A55) up to 2.4 GHz, Mali-G610 GPU, integrated NPU (6.0 TOPS) AI Support: Compatible with TensorFlow, Caffe, MxNet, PyTorch; 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