{"product_id":"all-in-one-uav-hyperspectral-camera-400-1000nm-autonomous-system","title":"All-in-One UAV Hyperspectral Camera | 400–1000nm Autonomous System","description":"\u003cstyle\u003e\n  .test-ru10e { max-width: 900px; margin: 0 auto; font-family: system-ui, sans-serif; color: #111; padding: 20px; }\n  \n  \/* Hero — Accuracy Lead *\/\n  .test-hero { background: #0a0e27; color: white; padding: 60px 40px; border-radius: 12px; margin-bottom: 32px; }\n  .test-hero h1 { font-size: 36px; margin: 0 0 16px 0; }\n  .test-hero .acc-badge { display: inline-block; background: #2e7d32; color: white; padding: 8px 20px; border-radius: 20px; font-size: 18px; font-weight: 700; margin-bottom: 16px; }\n  .test-hero p { font-size: 16px; color: #8892b0; margin: 0; max-width: 600px; line-height: 1.6; }\n  \n  \/* Accuracy Validation — NEW SECTION *\/\n  .test-validate { background: #f8f9fa; padding: 32px; border-radius: 10px; margin-bottom: 32px; border-left: 4px solid #2e7d32; }\n  .test-validate h2 { font-size: 18px; margin: 0 0 20px 0; font-weight: 700; }\n  .test-validate table { width: 100%; border-collapse: collapse; font-size: 14px; }\n  .test-validate th { background: #0a0e27; color: white; padding: 12px 16px; text-align: left; font-weight: 600; font-size: 12px; text-transform: uppercase; }\n  .test-validate td { padding: 12px 16px; border-bottom: 1px solid #ddd; }\n  .test-validate tr:nth-child(even) { background: white; }\n  .test-validate td:first-child { font-weight: 600; }\n  .test-validate .err-low { color: #2e7d32; font-weight: 700; }\n  .test-validate .err-high { color: #d32f2f; }\n  .test-validate .summary { margin-top: 16px; padding: 16px; background: #e8f5e9; border-radius: 6px; font-size: 14px; font-weight: 600; color: #1b5e20; }\n  \n  \/* Proof Bar — Accuracy Emphasized *\/\n  .test-proof { display: grid; grid-template-columns: repeat(4, 1fr); gap: 0; background: #f5f5f5; border-radius: 10px; overflow: hidden; margin-bottom: 32px; }\n  .test-proof div { padding: 30px 20px; text-align: center; border-right: 1px solid #ddd; }\n  .test-proof div:last-child { border-right: none; }\n  .test-proof div.acc { background: #e8f5e9; }\n  .test-proof span.num { font-size: 32px; font-weight: 700; color: #0a0e27; display: block; }\n  .test-proof div.acc span.num { color: #2e7d32; }\n  .test-proof span.txt { font-size: 12px; color: #666; margin-top: 6px; display: block; }\n  \n  \/* Capabilities *\/\n  .test-section { margin-bottom: 40px; }\n  .test-section h2 { font-size: 20px; font-weight: 700; border-bottom: 2px solid #111; padding-bottom: 8px; margin-bottom: 20px; }\n  .test-grid { display: grid; grid-template-columns: 1fr 1fr; gap: 16px; }\n  .test-card { border: 1px solid #ddd; border-radius: 8px; padding: 20px; }\n  .test-card h3 { font-size: 15px; margin: 0 0 8px 0; }\n  .test-card p { font-size: 13px; color: #444; line-height: 1.6; margin: 0; }\n  .test-tag { display: inline-block; background: #e8eeff; color: #334fb4; padding: 3px 10px; border-radius: 4px; font-size: 11px; font-weight: 600; margin-top: 10px; }\n  \n  \/* Applications *\/\n  .test-apps { display: grid; grid-template-columns: repeat(3, 1fr); gap: 12px; }\n  .test-app { background: #f8f9fa; padding: 16px; border-radius: 6px; border-left: 3px solid #334fb4; }\n  .test-app h4 { font-size: 13px; margin: 0 0 6px 0; }\n  .test-app p { font-size: 12px; color: #555; margin: 0; line-height: 1.5; }\n  \n  \/* Workflow *\/\n  .test-workflow { display: flex; gap: 12px; }\n  .test-step { flex: 1; background: #f8f9fa; padding: 20px; border-radius: 6px; }\n  .test-step small { color: #334fb4; font-weight: 700; font-size: 11px; text-transform: uppercase; }\n  .test-step h4 { font-size: 14px; margin: 6px 0; }\n  .test-step p { font-size: 12px; color: #555; margin: 0; line-height: 1.5; }\n  \n  \/* Contact *\/\n  .test-contact { background: #f5f5f5; padding: 40px; text-align: center; border-radius: 10px; }\n  .test-contact h2 { font-size: 22px; margin: 0 0 10px 0; }\n  .test-contact p { color: #555; margin: 0 0 20px 0; }\n  .test-contact a { display: inline-block; background: #0a0e27; color: white; padding: 12px 32px; border-radius: 6px; text-decoration: none; font-weight: 600; }\n  \n  @media (max-width: 768px) {\n    .test-proof { grid-template-columns: repeat(2, 1fr); }\n    .test-proof div:nth-child(2) { border-right: none; }\n    .test-proof div { border-bottom: 1px solid #ddd; }\n    .test-grid { grid-template-columns: 1fr; }\n    .test-apps { grid-template-columns: 1fr; }\n    .test-workflow { flex-direction: column; }\n    .test-validate { padding: 20px; overflow-x: auto; }\n    .test-validate table { font-size: 12px; }\n    .test-validate th, .test-validate td { padding: 8px 10px; }\n  }\n\u003c\/style\u003e\n\u003cdiv class=\"test-ru10e\"\u003e\n\u003c!-- Hero — Accuracy Badge First --\u003e\n\u003cdiv class=\"test-hero\"\u003e\n\u003cdiv class=\"acc-badge\"\u003e\u0026gt;80% Calibrated Accuracy\u003c\/div\u003e\n\u003ch1\u003e\u003cspan style=\"color: rgb(255, 255, 255);\"\u003eRU-10-E UAV Hyperspectral System\u003c\/span\u003e\u003c\/h1\u003e\n\u003cp\u003eAutonomous water quality monitoring with lab-grade accuracy from the air. Reagent-free. Real-time. 24\/7.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c!-- Accuracy Validation Table — MOVED TO TOP --\u003e\n\u003cdiv class=\"test-validate\"\u003e\n\u003ch2\u003eAccuracy Validation — Ground Truth vs. Hyperspectral\u003c\/h2\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003cth\u003eParameter\u003c\/th\u003e\n\u003cth\u003eGround Truth\u003c\/th\u003e\n\u003cth\u003eHyperspectral\u003c\/th\u003e\n\u003cth\u003eError\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCODmn (mg\/L)\u003c\/td\u003e\n\u003ctd\u003e5.30\u003c\/td\u003e\n\u003ctd\u003e5.33\u003c\/td\u003e\n\u003ctd class=\"err-low\"\u003e0.6%\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTotal Nitrogen (mg\/L)\u003c\/td\u003e\n\u003ctd\u003e2.04\u003c\/td\u003e\n\u003ctd\u003e2.02\u003c\/td\u003e\n\u003ctd class=\"err-low\"\u003e1.0%\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDissolved Oxygen (mg\/L)\u003c\/td\u003e\n\u003ctd\u003e7.20\u003c\/td\u003e\n\u003ctd\u003e9.41\u003c\/td\u003e\n\u003ctd class=\"err-high\"\u003e30.7%\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTotal Phosphorus (mg\/L)\u003c\/td\u003e\n\u003ctd\u003e0.07\u003c\/td\u003e\n\u003ctd\u003e0.10\u003c\/td\u003e\n\u003ctd class=\"err-high\"\u003e38.7%\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAmmonia Nitrogen (mg\/L)\u003c\/td\u003e\n\u003ctd\u003e0.06\u003c\/td\u003e\n\u003ctd\u003e0.39\u003c\/td\u003e\n\u003ctd class=\"err-high\"\u003eExc.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cdiv class=\"summary\"\u003eTN and CODmn demonstrate \u0026lt;1% error after local model adaptation. Self-learning AI progressively improves with each flight mission.\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c!-- Proof Bar — Accuracy Highlighted --\u003e\n\u003cdiv class=\"test-proof\"\u003e\n\u003cdiv class=\"acc\"\u003e\n\u003cspan class=\"num\"\u003e\u0026gt;80%\u003c\/span\u003e \u003cspan class=\"txt\"\u003eCalibrated\u003cbr\u003eAccuracy\u003c\/span\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cspan class=\"num\"\u003e920\u003c\/span\u003e \u003cspan class=\"txt\"\u003eSpectral\u003cbr\u003eChannels\u003c\/span\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cspan class=\"num\"\u003e\u0026lt;3.5nm\u003c\/span\u003e \u003cspan class=\"txt\"\u003eSpectral\u003cbr\u003eResolution\u003c\/span\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cspan class=\"num\"\u003e24\/7\u003c\/span\u003e \u003cspan class=\"txt\"\u003eAutonomous\u003cbr\u003eOperation\u003c\/span\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c!-- Capabilities --\u003e\n\u003cdiv class=\"test-section\"\u003e\n\u003ch2\u003eSystem Capabilities\u003c\/h2\u003e\n\u003cdiv class=\"test-grid\"\u003e\n\u003cdiv class=\"test-card\"\u003e\n\u003ch3\u003e7-Parameter Simultaneous Retrieval\u003c\/h3\u003e\n\u003cp\u003eCODmn, TN, TP, DO, NH3-N, CHLA, SS in a single overflight. No reagents. No lab delay.\u003c\/p\u003e\n\u003cspan class=\"test-tag\"\u003eReagent-Free\u003c\/span\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"test-card\"\u003e\n\u003ch3\u003eSelf-Learning AI\u003c\/h3\u003e\n\u003cp\u003eAccuracy improves with each mission. Local model adaptation for site-specific chemistry.\u003c\/p\u003e\n\u003cspan class=\"test-tag\"\u003eDeep Learning\u003c\/span\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"test-card\"\u003e\n\u003ch3\u003eReal-Time Onboard Processing\u003c\/h3\u003e\n\u003cp\u003ei7 CPU, 16GB RAM, 2TB SSD. Results before the drone lands.\u003c\/p\u003e\n\u003cspan class=\"test-tag\"\u003ei7 | 16GB | 2TB\u003c\/span\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"test-card\"\u003e\n\u003ch3\u003eAutonomous 24\/7 Operation\u003c\/h3\u003e\n\u003cp\u003eAuto airfield: takeoff, mission, land, charge. Zero human intervention.\u003c\/p\u003e\n\u003cspan class=\"test-tag\"\u003e15km Range | 0.3s Latency\u003c\/span\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c!-- Applications --\u003e\n\u003cdiv class=\"test-section\"\u003e\n\u003ch2\u003eApplication Areas\u003c\/h2\u003e\n\u003cdiv class=\"test-apps\"\u003e\n\u003cdiv class=\"test-app\"\u003e\n\u003ch4\u003eWater Quality\u003c\/h4\u003e\n\u003cp\u003eRiver, reservoir, coastal. Regulatory compliance.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"test-app\"\u003e\n\u003ch4\u003ePrecision Agriculture\u003c\/h4\u003e\n\u003cp\u003eNDVI\/NDWI, crop health, yield prediction.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"test-app\"\u003e\n\u003ch4\u003eForestry \u0026amp; Ecology\u003c\/h4\u003e\n\u003cp\u003eVegetation classification, forest health.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"test-app\"\u003e\n\u003ch4\u003eUrban Environment\u003c\/h4\u003e\n\u003cp\u003eGreen space, environmental assessment.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"test-app\"\u003e\n\u003ch4\u003eEmergency Response\u003c\/h4\u003e\n\u003cp\u003ePollution tracking, spill detection.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c!-- Workflow --\u003e\n\u003cdiv class=\"test-section\"\u003e\n\u003ch2\u003eOperational Workflow\u003c\/h2\u003e\n\u003cdiv class=\"test-workflow\"\u003e\n\u003cdiv class=\"test-step\"\u003e\n\u003csmall\u003eStep 01\u003c\/small\u003e\n\u003ch4\u003eMission Control\u003c\/h4\u003e\n\u003cp\u003eCloud interface. One-click deployment.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"test-step\"\u003e\n\u003csmall\u003eStep 02\u003c\/small\u003e\n\u003ch4\u003eRoute Planning\u003c\/h4\u003e\n\u003cp\u003eIntelligent path with obstacle avoidance.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"test-step\"\u003e\n\u003csmall\u003eStep 03\u003c\/small\u003e\n\u003ch4\u003eSpectral Acquisition\u003c\/h4\u003e\n\u003cp\u003eReal-time capture with light correction.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"test-step\"\u003e\n\u003csmall\u003eStep 04\u003c\/small\u003e\n\u003ch4\u003eData Delivery\u003c\/h4\u003e\n\u003cp\u003eAuto upload. Cloud visualization maps.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c!-- Contact --\u003e\n\u003cdiv class=\"test-contact\"\u003e\n\u003ch2\u003eContact NWSPEC\/VARSAL Group\u003c\/h2\u003e\n\u003cp\u003eFor product inquiries, technical documentation, or partnership discussions.\u003c\/p\u003e\n\u003ca href=\"mailto:sales@nwspec.com\"\u003esales@nwspec.com\u003c\/a\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"NWSPEC","offers":[{"title":"Default Title","offer_id":47300914348251,"sku":null,"price":150000.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0766\/1722\/0315\/files\/RU-70-U_with_drone_pic.png?v=1777462135","url":"https:\/\/nwspec.com\/en-cn\/products\/all-in-one-uav-hyperspectral-camera-400-1000nm-autonomous-system","provider":"NWSPEC","version":"1.0","type":"link"}