{"product_id":"wlkata-opencv-advanced-vision-suite","title":"WLKATA OpenCV Advanced Vision Suite with Textbook","description":"\u003cstyle\u003e\n.rs-pdp{font-family:Arial,Helvetica,sans-serif;color:#171717;line-height:1.65;font-size:16px}\n.rs-pdp h2{text-align:center;font-size:28px;line-height:1.25;margin:0 0 28px}\n.rs-pdp h3{font-size:21px;color:#0076CC;margin:0 0 14px;padding-bottom:8px;border-bottom:2px solid #0076CC}\n.rs-pdp h4{font-size:16px;margin:18px 0 8px;color:#171717}\n.rs-pdp p{margin:0 0 14px}\n.rs-pdp ul{margin:0 0 14px;padding-left:20px}\n.rs-pdp li{margin:0 0 9px}\n.rs-pdp .rs-row{display:flex;gap:24px;align-items:flex-start;flex-wrap:wrap;margin-bottom:8px}\n.rs-pdp .rs-col-text{flex:1;min-width:300px}\n.rs-pdp .rs-col-img{flex:0 0 500px;max-width:100%}\n.rs-pdp .rs-col-img img{width:100%;height:auto;border-radius:6px}\n.rs-pdp hr{border:0;border-top:1px solid #E1E5EB;margin:34px 0}\n.rs-pdp .rs-spec{width:100%;border-collapse:collapse;font-size:15px}\n.rs-pdp .rs-spec th,.rs-pdp .rs-spec td{text-align:left;padding:9px 12px;border:1px solid #E1E5EB;vertical-align:top}\n.rs-pdp .rs-spec .rs-group th{background:#0076CC;color:#fff;font-size:13px;letter-spacing:.04em;text-transform:uppercase}\n.rs-pdp .rs-spec td.rs-k{background:#F4F6F9;font-weight:bold;width:42%;color:#171717}\n.rs-pdp .rs-spec tr:nth-child(even) td.rs-v{background:#F4F6F9}\n.rs-pdp .rs-feat\u003eli{margin-bottom:14px}\n.rs-pdp .rs-feat\u003eli\u003estrong{color:#0076CC}\n.rs-pdp .rs-feat ul{margin:7px 0 0;padding-left:18px}\n.rs-pdp .rs-feat ul li{margin:0 0 5px;font-size:15px;color:#444}\n.rs-pdp .rs-warr{width:100%;border-collapse:collapse;font-size:15px;margin:6px 0 16px}\n.rs-pdp .rs-warr th{background:#0076CC;color:#fff;text-align:left;padding:10px 12px;font-size:14px}\n.rs-pdp .rs-warr td{border:1px solid #E1E5EB;padding:9px 12px}\n.rs-pdp .rs-warr td.rs-term{font-weight:bold;color:#171717;white-space:nowrap;width:140px;background:#F4F6F9}\n.rs-pdp .rs-note{background:#F4F6F9;border-left:4px solid #0076CC;padding:10px 14px;font-size:14px;color:#444;margin:0 0 14px;border-radius:0 4px 4px 0}\n@media (max-width:600px){.rs-pdp .rs-col-img{flex:0 0 100%}}\n.rs-pdp .rs-lead{font-size:18px;line-height:1.55;color:#2a3644;margin:0 0 18px}\n.rs-pdp .rs-lead strong{color:#171717}\n.rs-pdp .rs-eyebrow{display:inline-block;font-size:12px;font-weight:700;letter-spacing:.12em;text-transform:uppercase;color:#0076CC;margin:0 0 8px}\n.rs-pdp .rs-stats{display:flex;flex-wrap:wrap;justify-content:center;--rs-g:12px;gap:12px;margin:0 0 26px;padding:0;list-style:none}\n.rs-pdp .rs-stats li{margin:0;background:#0b2e4d;color:#fff;border-radius:12px;padding:16px 16px 14px;text-align:center;min-height:96px;display:flex;flex-direction:column;justify-content:center}\n.rs-pdp .rs-stats .rs-stat-v{display:block;font-size:24px;font-weight:700;line-height:1.15;color:#fff;letter-spacing:-.01em}\n.rs-pdp .rs-stats .rs-stat-l{display:block;font-size:12.5px;font-weight:700;letter-spacing:.06em;text-transform:uppercase;color:#9ec9ec;margin:0 0 6px}\n.rs-pdp .rs-stats .rs-stat-s{display:block;font-size:12.5px;color:#c9dcec;margin-top:5px;line-height:1.35}\n.rs-pdp .rs-cards{display:flex;flex-wrap:wrap;justify-content:center;--rs-g:18px;gap:18px;margin:0 0 26px;padding:0;list-style:none}\n.rs-pdp .rs-cards li{margin:0;background:#fff;border:1px solid #E1E5EB;border-radius:12px;overflow:hidden;display:flex;flex-direction:column}\n.rs-pdp .rs-cards img{display:block;width:100%;height:auto;background:#F4F6F9}\n.rs-pdp .rs-cards .rs-card-b{padding:14px 16px 16px}\n.rs-pdp .rs-cards .rs-card-t{display:block;font-weight:700;font-size:16px;color:#171717;margin:0 0 6px}\n.rs-pdp .rs-cards .rs-card-x{display:block;font-size:14.5px;line-height:1.5;color:#444}\n.rs-pdp .rs-feat-grid{display:flex;flex-wrap:wrap;justify-content:center;--rs-g:14px;gap:14px;margin:0 0 24px;padding:0;list-style:none}\n.rs-pdp .rs-feat-grid\u003eli{margin:0;background:#F4F6F9;border-left:4px solid #0076CC;border-radius:0 10px 10px 0;padding:14px 16px}\n.rs-pdp .rs-feat-grid\u003eli\u003estrong{display:block;color:#0076CC;font-size:15.5px;margin:0 0 5px}\n.rs-pdp .rs-feat-grid\u003eli ul{margin:8px 0 0;padding-left:18px}\n.rs-pdp .rs-feat-grid\u003eli ul li{margin:0 0 4px;font-size:14.5px;color:#444}\n.rs-pdp .rs-included{display:flex;flex-wrap:wrap;justify-content:center;--rs-g:14px;gap:14px;margin:0 0 22px;padding:0;list-style:none}\n.rs-pdp .rs-included li{margin:0;background:#fff;border:1px solid #E1E5EB;border-radius:12px;padding:12px 12px 14px;text-align:center;display:flex;flex-direction:column;align-items:center}\n.rs-pdp .rs-included img{display:block;width:100%;aspect-ratio:1\/1;object-fit:contain;background:#F7F9FB;border-radius:8px;margin:0 0 10px}\n.rs-pdp .rs-included .rs-inc-n{display:block;font-weight:700;font-size:14.5px;line-height:1.35;color:#171717}\n.rs-pdp .rs-included .rs-inc-q{display:inline-block;margin-top:6px;font-size:12px;font-weight:700;color:#0076CC;background:#E6F2FB;border-radius:999px;padding:2px 10px}\n.rs-pdp .rs-included .rs-inc-d{display:block;font-size:13px;color:#5f6b7a;margin-top:5px;line-height:1.4}\n.rs-pdp .rs-included-hero{margin:0 0 18px}\n.rs-pdp .rs-included-hero img{width:100%;height:auto;max-height:560px;object-fit:contain;background:#F5F7FA;border-radius:12px;border:1px solid #E1E5EB}\n.rs-pdp .rs-check{columns:2;column-gap:28px;margin:0 0 18px;padding:0;list-style:none}\n.rs-pdp .rs-check li{break-inside:avoid;margin:0 0 9px;padding-left:26px;position:relative}\n.rs-pdp .rs-check li::before{content:\"\";position:absolute;left:0;top:5px;width:14px;height:8px;border-left:2.5px solid #0076CC;border-bottom:2.5px solid #0076CC;transform:rotate(-45deg)}\n.rs-pdp .rs-docs{display:flex;flex-wrap:wrap;justify-content:center;--rs-g:14px;gap:14px;margin:0 0 22px;padding:0;list-style:none}\n.rs-pdp .rs-docs li{margin:0;border:1px solid #E1E5EB;border-radius:12px;padding:14px 16px;background:#fff}\n.rs-pdp .rs-docs .rs-doc-t{display:block;font-weight:700;font-size:15px;color:#171717;margin:0 0 4px}\n.rs-pdp .rs-docs .rs-doc-x{display:block;font-size:14px;color:#5f6b7a;line-height:1.45;margin:0 0 8px}\n.rs-pdp .rs-docs a{font-weight:700;color:#0076CC;text-decoration:none}\n.rs-pdp .rs-docs a:hover{text-decoration:underline}\n.rs-pdp .rs-row--center{align-items:center}\n.rs-pdp .rs-row--top{align-items:flex-start}\n.rs-pdp .rs-row--top .rs-col-img{position:static;top:auto}\n.rs-pdp .rs-col-img img{width:auto;max-width:100%;max-height:560px;object-fit:contain;margin:0 auto;display:block}\n.rs-pdp .rs-callout{background:#eef6fc;border:1px solid #bfdcf3;border-left:4px solid #0076CC;border-radius:8px;padding:12px 16px;margin:0 0 18px;font-size:15px}\n.rs-pdp .rs-callout strong{color:#0b2e4d}\n.rs-pdp .rs-compare{width:100%;border-collapse:collapse;font-size:15px;margin:0 0 18px}\n.rs-pdp .rs-compare th{background:#0b2e4d;color:#fff;text-align:left;padding:10px 12px;font-size:13px;letter-spacing:.04em;text-transform:uppercase}\n.rs-pdp .rs-compare td{border:1px solid #E1E5EB;padding:9px 12px;vertical-align:top}\n.rs-pdp .rs-compare td:first-child{background:#F4F6F9;font-weight:bold;width:32%}\n.rs-pdp .rs-compare td.rs-hi{background:#E6F2FB;font-weight:bold;color:#0b2e4d}\n@media (max-width:700px){.rs-pdp .rs-check{columns:1}.rs-pdp .rs-stats .rs-stat-v{font-size:20px}}\n.rs-pdp .rs-stats\u003eli,.rs-pdp .rs-cards\u003eli,.rs-pdp .rs-feat-grid\u003eli,.rs-pdp .rs-included\u003eli,.rs-pdp .rs-docs\u003eli{--rs-b:calc((100% - (var(--rs-n,2) - 1) * var(--rs-g,14px)) \/ var(--rs-n,2) - 0.5px);flex:1 1 var(--rs-b);max-width:var(--rs-b);min-width:0;box-sizing:border-box}\n.rs-pdp .rs-cols-1{--rs-n:1}\n.rs-pdp .rs-cols-2{--rs-n:2}\n.rs-pdp .rs-cols-3{--rs-n:3}\n.rs-pdp .rs-cols-4{--rs-n:4}\n.rs-pdp .rs-cols-5{--rs-n:5}\n.rs-pdp .rs-cols-6{--rs-n:6}\n.rs-pdp .rs-cols-7{--rs-n:7}\n.rs-pdp .rs-cols-8{--rs-n:8}\n.rs-pdp .rs-row.rs-row--apps{align-items:center}\n.rs-pdp .rs-row.rs-row--apps .rs-col-img{flex:0 0 30%;max-width:380px;min-width:260px}\n.rs-pdp .rs-row.rs-row--apps .rs-col-img img{max-height:300px}\n.rs-pdp .rs-col-img.rs-img-stack{display:flex;flex-direction:column;gap:16px}\n.rs-pdp .rs-col-img.rs-img-stack img{width:100%;max-height:none;object-fit:contain;background:#F7F9FB}\n.rs-pdp .rs-col-img.rs-img-stack.rs-img-fit{align-self:stretch;position:relative;top:auto;min-height:360px}\n.rs-pdp .rs-img-fit .rs-img-fit__in{position:absolute;top:0;right:0;bottom:0;left:0;display:flex;flex-direction:column;gap:16px}\n.rs-pdp .rs-img-fit .rs-img-fit__in img{flex:1 1 0;min-height:0;width:100%;height:100%;max-height:none;object-fit:contain;background:#F7F9FB;border-radius:6px}\n@media (min-width:1101px){}\n@media (min-width:901px) and (max-width:1100px){.rs-pdp .rs-t2-1{--rs-n:1}.rs-pdp .rs-t2-2{--rs-n:2}.rs-pdp .rs-t2-3{--rs-n:3}.rs-pdp .rs-t2-4{--rs-n:4}.rs-pdp .rs-t2-5{--rs-n:5}}\n@media (min-width:701px) and (max-width:900px){.rs-pdp .rs-t3-1{--rs-n:1}.rs-pdp .rs-t3-2{--rs-n:2}.rs-pdp .rs-t3-3{--rs-n:3}.rs-pdp .rs-t3-4{--rs-n:4}}\n@media (min-width:561px) and (max-width:700px){.rs-pdp .rs-t4-1{--rs-n:1}.rs-pdp .rs-t4-2{--rs-n:2}.rs-pdp .rs-t4-3{--rs-n:3}}\n@media (max-width:560px){.rs-pdp .rs-t5-1{--rs-n:1}.rs-pdp .rs-t5-2{--rs-n:2}}\n@media (min-width:701px){.rs-pdp .rs-check.rs-check{display:grid;columns:auto;column-gap:28px;grid-template-columns:repeat(2,minmax(0,1fr))}.rs-pdp .rs-check.rs-check--1{grid-template-columns:minmax(0,1fr)}.rs-pdp .rs-check.rs-check--3{grid-template-columns:repeat(3,minmax(0,1fr))}}\n@media (max-width:700px){.rs-pdp table.rs-warr td.rs-term.rs-term{white-space:normal;width:34%}.rs-pdp table.rs-warr td,.rs-pdp table.rs-warr th{overflow-wrap:anywhere}}\n@media (max-width:600px){.rs-pdp .rs-col-img.rs-img-stack.rs-img-fit{align-self:auto;position:static;min-height:0}.rs-pdp .rs-img-fit .rs-img-fit__in{position:static}.rs-pdp .rs-img-fit .rs-img-fit__in img{flex:none;height:auto}.rs-pdp .rs-row.rs-row--apps .rs-col-img{flex-basis:100%;max-width:none;min-width:0}}\n.rs-pdp{max-width:1500px;margin-left:auto;margin-right:auto}\n\u003c\/style\u003e\n\u003cdiv class=\"rs-pdp\"\u003e\n\u003ch2\u003eWLKATA OpenCV Advanced Vision Suite with Textbook\u003c\/h2\u003e\n\u003cp class=\"rs-eyebrow\"\u003eAt a glance\u003c\/p\u003e\n\u003cul class=\"rs-stats rs-cols-4 rs-t2-4 rs-t3-4 rs-t4-2 rs-t5-2\"\u003e\n\u003cli\u003e\n\u003cspan class=\"rs-stat-l\"\u003eCamera\u003c\/span\u003e\u003cspan class=\"rs-stat-v\"\u003e2952 x 1944\u003c\/span\u003e\u003cspan class=\"rs-stat-s\"\u003efull color, adjustable stand\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan class=\"rs-stat-l\"\u003eDisplay\u003c\/span\u003e\u003cspan class=\"rs-stat-v\"\u003e17 in\u003c\/span\u003e\u003cspan class=\"rs-stat-s\"\u003e1920 x 1080\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan class=\"rs-stat-l\"\u003eCompute\u003c\/span\u003e\u003cspan class=\"rs-stat-v\"\u003eNVIDIA Jetson\u003c\/span\u003e\u003cspan class=\"rs-stat-s\"\u003equad-core A57, 128-core GPU\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan class=\"rs-stat-l\"\u003eLessons\u003c\/span\u003e\u003cspan class=\"rs-stat-v\"\u003e10+\u003c\/span\u003e\u003cspan class=\"rs-stat-s\"\u003edigital textbook\u003c\/span\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eOverview\u003c\/h3\u003e\n\u003cdiv class=\"rs-row rs-row--center\"\u003e\n\u003cdiv style=\"order: 2;\" class=\"rs-col-text\"\u003e\n\u003cspan class=\"rs-eyebrow\"\u003eWLKATA AI robot vision\u003c\/span\u003e\n\u003cp class=\"rs-lead\"\u003eA classroom-ready AI vision station for WLKATA arms: a built-in NVIDIA Jetson computer, a 2952 x 1944 full-color camera on an adjustable stand, a 17-inch display, an emergency stop, a preset Linux, Python, OpenCV, PyTorch, and YOLOv5 environment, and a digital textbook of hands-on projects.\u003c\/p\u003e\n\u003cp\u003eThe WLKATA OpenCV Advanced Vision Suite is a complete robot-vision learning platform that plugs into a WLKATA arm. Inside the main unit case are an NVIDIA Jetson embedded AI computer (quad-core ARM Cortex-A57 at 1.43 GHz with a 128-core Maxwell GPU), a 2952 x 1944 full-color camera on an adjustable stand, a 17-inch 1920 x 1080 display, and an emergency stop button, with Linux, Python, OpenCV, PyTorch, and a YOLOv5 object-detection environment preinstalled: open, connect, and begin, with no software setup.\u003c\/p\u003e\n\u003cp\u003eThe digital textbook, Robotic Vision with OpenCV, takes students from camera and hand-eye calibration through QR-code recognition, color, shape, and feature-point detection, YOLOv5 object detection, sorting, inspection, defect detection, and character recognition to vision-guided robotic grasping, with open-source code examples, video-guided experiments, and integration examples for WLKATA arms. Low-level control interfaces are open with full command access.\u003c\/p\u003e\n\u003cp\u003eThe suite is compatible with the WLKATA Mirobot, MT4, Haro380, and MiroMAX arms (arm sold separately) and is built for robotics education, engineering labs, AI vision training, smart-manufacturing demonstrations, and STEM programs. WLKATA accepts purchase orders from U.S. schools through RoboticsSelect.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"order: 1;\" class=\"rs-col-img\"\u003e\u003cimg alt=\"WLKATA OpenCV Advanced Vision Suite\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0659\/1437\/2184\/files\/wlkata-opencv-advanced-vision-suite-01.webp?v=1790739877\" loading=\"lazy\"\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\n\u003ch3\u003eSpecifications\u003c\/h3\u003e\n\u003cdiv class=\"rs-row rs-row--top\"\u003e\n\u003cdiv style=\"order: 1;\" class=\"rs-col-text\"\u003e\u003ctable class=\"rs-spec\"\u003e\n\u003ctbody\u003e\n\u003ctr class=\"rs-group\"\u003e\u003cth colspan=\"2\"\u003eVision and Compute\u003c\/th\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"rs-k\"\u003eModel\u003c\/td\u003e\n\u003ctd class=\"rs-v\"\u003eWL-AC-AIVM-VM001\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"rs-k\"\u003eCamera\u003c\/td\u003e\n\u003ctd class=\"rs-v\"\u003eFull color, 2952 x 1944, on an adjustable stand\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"rs-k\"\u003eImage Settings\u003c\/td\u003e\n\u003ctd class=\"rs-v\"\u003eBrightness, contrast, hue, saturation, sharpness, white balance, exposure\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"rs-k\"\u003eComputer\u003c\/td\u003e\n\u003ctd class=\"rs-v\"\u003eNVIDIA Jetson embedded AI platform\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"rs-k\"\u003eCPU\u003c\/td\u003e\n\u003ctd class=\"rs-v\"\u003eQuad-core ARM Cortex-A57 at 1.43 GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"rs-k\"\u003eGPU\u003c\/td\u003e\n\u003ctd class=\"rs-v\"\u003e128-core NVIDIA Maxwell\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"rs-k\"\u003eVideo Encoding\u003c\/td\u003e\n\u003ctd class=\"rs-v\"\u003e4K at 30 fps, or 4 x 1080p at 30 fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"rs-k\"\u003eInterfaces\u003c\/td\u003e\n\u003ctd class=\"rs-v\"\u003e4 x USB 3.0, USB 2.0 Micro-B, HDMI, DisplayPort\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"rs-group\"\u003e\u003cth colspan=\"2\"\u003eDisplay and Safety\u003c\/th\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"rs-k\"\u003eDisplay\u003c\/td\u003e\n\u003ctd class=\"rs-v\"\u003e17-inch, 1920 x 1080; HDMI, AV, VGA inputs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"rs-k\"\u003eEmergency Stop\u003c\/td\u003e\n\u003ctd class=\"rs-v\"\u003eBuilt-in E-stop button on the main unit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"rs-group\"\u003e\u003cth colspan=\"2\"\u003eSoftware and Curriculum\u003c\/th\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"rs-k\"\u003eEnvironment\u003c\/td\u003e\n\u003ctd class=\"rs-v\"\u003eLinux with Python, OpenCV, PyTorch, and YOLOv5 preinstalled\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"rs-k\"\u003eTextbook\u003c\/td\u003e\n\u003ctd class=\"rs-v\"\u003eRobotic Vision with OpenCV (digital), 12 chapters, 10+ hands-on project lessons\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"rs-k\"\u003eTopics\u003c\/td\u003e\n\u003ctd class=\"rs-v\"\u003eCamera and hand-eye calibration, QR codes, color, shape, and feature detection, YOLOv5, sorting, inspection, defect detection, OCR, vision-guided grasping\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"rs-k\"\u003eResources\u003c\/td\u003e\n\u003ctd class=\"rs-v\"\u003eOpen-source code examples, video-guided experiments, WLKATA arm integration examples\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"rs-group\"\u003e\u003cth colspan=\"2\"\u003eCompatibility\u003c\/th\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"rs-k\"\u003eRobotic Arms\u003c\/td\u003e\n\u003ctd class=\"rs-v\"\u003eWLKATA Mirobot, MT4, Haro380, MiroMAX (sold separately)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"rs-k\"\u003eUse\u003c\/td\u003e\n\u003ctd class=\"rs-v\"\u003eEducation, labs, AI vision training, smart-manufacturing demonstrations\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\u003c\/div\u003e\n\u003cdiv style=\"order: 2;\" class=\"rs-col-img rs-img-stack\"\u003e\u003cimg alt=\"WLKATA OpenCV Advanced Vision Suite station\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0659\/1437\/2184\/files\/wlkata-opencv-advanced-vision-suite-02.webp?v=1790739877\" loading=\"lazy\"\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\n\u003ch3\u003eKey Features\u003c\/h3\u003e\n\u003cdiv class=\"rs-row rs-row--top\"\u003e\n\u003cdiv style=\"order: 2;\" class=\"rs-col-text\"\u003e\n\u003cul class=\"rs-feat-grid rs-cols-2 rs-t2-2 rs-t3-1 rs-t4-1 rs-t5-1\"\u003e\n\u003cli\u003e\n\u003cstrong\u003eJetson Inside\u003c\/strong\u003eAn NVIDIA Jetson AI computer runs OpenCV and YOLOv5 on the bench, no PC required.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eReady on Arrival\u003c\/strong\u003eLinux, Python, OpenCV, PyTorch, and YOLOv5 are preinstalled and configured.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eHigh-Resolution Camera\u003c\/strong\u003e2952 x 1944 full-color camera on an adjustable stand with adjustable image settings.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e17-Inch Display and E-Stop\u003c\/strong\u003eA full station in one case, with a hardware emergency stop for classroom safety.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eTextbook and Projects\u003c\/strong\u003e12 chapters and 10+ lessons from calibration to vision-guided grasping, with open code.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOpen Control Interfaces\u003c\/strong\u003eFull command access for custom projects with Mirobot, MT4, Haro380, or MiroMAX.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"order: 1;\" class=\"rs-col-img\"\u003e\u003cimg alt=\"WLKATA OpenCV suite camera\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0659\/1437\/2184\/files\/wlkata-opencv-advanced-vision-suite-03.webp?v=1790739877\" loading=\"lazy\"\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\n\u003ch3\u003eApplications\u003c\/h3\u003e\n\u003cdiv class=\"rs-row rs-row--top rs-row--apps\"\u003e\n\u003cdiv style=\"order: 1;\" class=\"rs-col-text\"\u003e\n\u003cp\u003eUniversity and college robotics and AI courses, technical high-school STEM labs, and industry training centers demonstrating vision-guided sorting and inspection. Within the WLKATA lineup it pairs with the \u003ca href=\"\/products\/wlkata-mirobot-professional-kit-6-axis-robotic-arm-ros-matlab-simulation-teaching\"\u003eMirobot\u003c\/a\u003e, \u003ca href=\"\/products\/wlkata-mt4-advanced-kit-0-1mm-metal-4-axis-robotic-arm-ros2-arduino-rebuildable-copy\"\u003eMT4\u003c\/a\u003e, and \u003ca href=\"\/products\/wlkata-haro380-advanced-kit-6-axis-industrial-grade-plc-ros2-matlab-voice-control\"\u003eHaro380\u003c\/a\u003e arms; for an entry-level vision kit see the \u003ca href=\"\/products\/wlkata-ai-vision-set-textbook-included-openmv-machine-vision-high-quality-cnc-artificial-intelligence\"\u003eOpenMV AI Vision Set\u003c\/a\u003e.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"order: 2;\" class=\"rs-col-img\"\u003e\u003cimg alt=\"WLKATA OpenCV suite classroom\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0659\/1437\/2184\/files\/wlkata-opencv-advanced-vision-suite-04.webp?v=1790739877\" loading=\"lazy\"\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\n\u003ch3\u003eSetup and Getting Started\u003c\/h3\u003e\n\u003cdiv class=\"rs-row rs-row--top\"\u003e\n\u003cdiv style=\"order: 2;\" class=\"rs-col-text\"\u003e\u003col\u003e\n\u003cli\u003e\n\u003cstrong\u003eUnpack and power:\u003c\/strong\u003e Set the main unit case on the bench, connect the display, keyboard, mouse, and power cable from the accessories kit.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eConnect the arm:\u003c\/strong\u003e Link your WLKATA arm to the suite and mount the camera on its stand over the work area.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCalibrate:\u003c\/strong\u003e Run the camera and hand-eye calibration lessons from the textbook.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRun the projects:\u003c\/strong\u003e Work through detection, sorting, inspection, and grasping projects with the included code and videos.\u003c\/li\u003e\n\u003c\/ol\u003e\u003c\/div\u003e\n\u003cdiv style=\"order: 1;\" class=\"rs-col-img\"\u003e\u003cimg alt=\"WLKATA OpenCV suite textbook\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0659\/1437\/2184\/files\/wlkata-opencv-advanced-vision-suite-05.webp?v=1790739921\" loading=\"lazy\"\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\n\u003ch3\u003eWhat's Included\u003c\/h3\u003e\n\u003cp class=\"rs-lead\"\u003eThe robotic arm is not included.\u003c\/p\u003e\n\u003cdiv class=\"rs-included-hero\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0659\/1437\/2184\/files\/wlkata-opencv-advanced-vision-suite-06.webp?v=1790739920\" alt=\"WLKATA OpenCV Advanced Vision Suite with textbook\" loading=\"lazy\"\u003e\u003c\/div\u003e\n\u003cul class=\"rs-check rs-check--1\"\u003e\n\u003cli\u003e\n\u003cstrong\u003eMain unit case\u003c\/strong\u003e (x1) \u003cspan style=\"color:#5f6b7a\"\u003eJetson computer, camera with adjustable stand, 17-inch display, emergency stop\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePreset Linux \/ Python \/ OpenCV environment\u003c\/strong\u003e (x1) \u003cspan style=\"color:#5f6b7a\"\u003eYOLOv5 object-detection environment\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDigital textbook\u003c\/strong\u003e (x1) \u003cspan style=\"color:#5f6b7a\"\u003e10+ project lessons, code examples, video-guided experiments\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eKeyboard and mouse\u003c\/strong\u003e (x1 set)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePower cable and accessories kit\u003c\/strong\u003e (x1)\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eDocumentation and Resources\u003c\/h3\u003e\n\u003cul class=\"rs-docs rs-cols-5 rs-t2-3 rs-t3-3 rs-t4-2 rs-t5-1\"\u003e\n\u003cli\u003e\n\u003cspan class=\"rs-doc-t\"\u003eProduct Page\u003c\/span\u003e\u003ca href=\"https:\/\/www.wlkata.com\/products\/opencv-advanced-vision-suite-with-textbook-ai-robot-vision\" target=\"_blank\" rel=\"noopener\"\u003eWLKATA OpenCV Advanced Vision Suite →\u003c\/a\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan class=\"rs-doc-t\"\u003eWLKATA Download Center\u003c\/span\u003e\u003ca href=\"https:\/\/www.wlkata.com\/pages\/download\" target=\"_blank\" rel=\"noopener\"\u003eManuals, software, and firmware downloads →\u003c\/a\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan class=\"rs-doc-t\"\u003eWLKATA Documentation\u003c\/span\u003e\u003ca href=\"https:\/\/document.wlkata.com\" target=\"_blank\" rel=\"noopener\"\u003eProduct documentation portal →\u003c\/a\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan class=\"rs-doc-t\"\u003eWLKATA Python SDK\u003c\/span\u003e\u003ca href=\"https:\/\/github.com\/wlkata\/WLKATA-Python-SDK-wlkatapython\" target=\"_blank\" rel=\"noopener\"\u003ewlkatapython on GitHub (MS4220_UART class) →\u003c\/a\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan class=\"rs-doc-t\"\u003eWarranty and Returns\u003c\/span\u003e\u003ca href=\"https:\/\/www.wlkata.com\/pages\/refund-policy\" target=\"_blank\" rel=\"noopener\"\u003eWLKATA warranty terms and return policy →\u003c\/a\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eWarranty Information\u003c\/h3\u003e\n\u003cp\u003eWLKATA covers the OpenCV Advanced Vision Suite under its published warranty policy (one year for non-human-caused failures with valid proof of purchase; WLKATA describes the suite as covered by its educational warranty), and RoboticsSelect is an authorized WLKATA dealer: our U.S.-based team is your first line of support and coordinates claims with WLKATA.\u003c\/p\u003e\n\u003ctable class=\"rs-warr\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003cth\u003eItem\u003c\/th\u003e\n\u003cth\u003eCoverage\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"rs-term\"\u003eVision suite (computer, camera, display)\u003c\/td\u003e\n\u003ctd\u003e1 year: non-human-caused failures\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"rs-term\"\u003eSoftware and textbook\u003c\/td\u003e\n\u003ctd\u003eDigital delivery; updates per WLKATA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch4\u003eNot Covered\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eDamage caused by the user, including wrong wiring or supply voltage\u003c\/li\u003e\n\u003cli\u003eUnauthorized repair or modification\u003c\/li\u003e\n\u003cli\u003eNormal wear and consumables\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eProof of purchase from WLKATA or an authorized agent is required.\u003c\/p\u003e\n\n\u003c\/div\u003e","brand":"Wlkata","offers":[{"title":"Default Title","offer_id":67588255842392,"sku":"WL-AC-AIVM-VM001","price":4990.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0659\/1437\/2184\/files\/wlkata-opencv-advanced-vision-suite-01.webp?v=1790739877","url":"https:\/\/roboticsselect.com\/products\/wlkata-opencv-advanced-vision-suite","provider":"RoboticsSelect","version":"1.0","type":"link"}