{"product_id":"resepi-lite-avia-drone-lidar-system","title":"RESEPI LITE AVIA Drone LiDAR System","description":"\u003cdiv class=\"mxavia\"\u003e\n  \u003cstyle\u003e\n    .mxavia {\n      width: 100% !important;\n      max-width: 100% !important;\n      min-width: 0 !important;\n      margin: 0 !important;\n      padding: 0 !important;\n      color: #20262b;\n      font-family: inherit;\n      font-size: 16px;\n      line-height: 1.65;\n      overflow: visible !important;\n    }\n\n    .mxavia,\n    .mxavia * {\n      box-sizing: border-box !important;\n    }\n\n    .mxavia * {\n      min-width: 0 !important;\n      max-width: 100% !important;\n      overflow-wrap: break-word;\n      word-break: normal;\n      hyphens: none;\n    }\n\n    .mxavia section,\n    .mxavia article,\n    .mxavia figure,\n    .mxavia div,\n    .mxavia dl,\n    .mxavia ul {\n      width: 100% !important;\n      display: block !important;\n      float: none !important;\n      clear: both !important;\n    }\n\n 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     padding: 19px 18px !important;\n    }\n\n    .mxavia__link-copy h3 {\n      margin-bottom: 8px;\n    }\n\n    .mxavia__link-copy p:last-child {\n      margin-bottom: 0;\n      color: #66727b;\n    }\n\n    .mxavia__cta {\n      padding: 28px 22px !important;\n      color: #ffffff;\n      background: #10293f;\n      border-radius: 10px;\n    }\n\n    .mxavia__cta h2,\n    .mxavia__cta p {\n      color: #ffffff;\n    }\n\n    .mxavia__cta p {\n      color: rgba(255,255,255,0.86);\n    }\n\n    @media screen and (max-width: 480px) {\n      .mxavia {\n        font-size: 15px;\n      }\n\n      .mxavia h2 {\n        font-size: 26px;\n      }\n\n      .mxavia h3 {\n        font-size: 20px;\n      }\n\n      .mxavia__hero,\n      .mxavia__cta {\n        padding: 23px 18px !important;\n      }\n\n      .mxavia__card {\n        padding: 19px 17px !important;\n      }\n    }\n  \u003c\/style\u003e\n\n  \u003c!-- INTRODUCTION --\u003e\n  \u003csection class=\"mxavia__hero\"\u003e\n    \u003cspan class=\"mxavia__eyebrow\"\u003eInertial Labs RESEPI LITE Livox Avia\u003c\/span\u003e\n    \u003ch2\u003eUltra-Lightweight Drone LiDAR for Linear Assets, Corridors and Rapid Government Mapping\u003c\/h2\u003e\n\n    \u003cp\u003e\n      The RESEPI LITE Avia combines a Livox Avia laser scanner, Inertial Labs\n      positioning technology, onboard computing and optional RGB imaging in\n      one of the lightest complete RESEPI configurations available.\n    \u003c\/p\u003e\n\n    \u003cp\u003e\n      At approximately 0.9 kg without the camera and 1.2 kg with the mapping\n      camera, Avia reduces the burden on the aircraft and helps preserve flight\n      endurance. Its focused scanning pattern concentrates measurements within\n      a narrower field of view, making it particularly useful for thin objects\n      and long, linear missions where point density matters more than complete\n      360-degree scene coverage.\n    \u003c\/p\u003e\n\n    \u003cspan class=\"mxavia__pill\"\u003e0.9 kg without camera\u003c\/span\u003e\n    \u003cspan class=\"mxavia__pill\"\u003eTriple-return LiDAR\u003c\/span\u003e\n    \u003cspan class=\"mxavia__pill\"\u003eOnly 16 W power consumption\u003c\/span\u003e\n\n    \u003ca class=\"mxavia__button\" href=\"mailto:ops@maxsur.com?subject=RESEPI%20LITE%20Livox%20Avia%20Drone%20LiDAR\"\u003eRequest a Configured Quote\u003c\/a\u003e\n    \u003ca class=\"mxavia__button mxavia__button--outline\" href=\"https:\/\/www.maxsur.com\/collections\/lidar\"\u003eExplore All Drone LiDAR\u003c\/a\u003e\n  \u003c\/section\u003e\n\n  \u003c!-- PRODUCT VIEW --\u003e\n  \u003csection\u003e\n    \u003cfigure class=\"mxavia__media\"\u003e\n      \u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0874\/5416\/files\/RESEPI-Livox-AVIA-Drone-LiDAR-Payload-Back-Transparent.png?v=1783909281\" alt=\"Rear view of the RESEPI LITE Livox Avia lightweight drone LiDAR payload\" width=\"1200\" height=\"900\" loading=\"lazy\"\u003e\n      \u003cfigcaption class=\"mxavia__caption\"\u003e\n        Compact RESEPI sensor-fusion architecture with LiDAR, precision navigation,\n        onboard processing and optional RGB imaging.\n      \u003c\/figcaption\u003e\n    \u003c\/figure\u003e\n\n    \u003cdiv class=\"mxavia__section-head\"\u003e\n      \u003cspan class=\"mxavia__eyebrow\"\u003eRESEPI Sensor Fusion\u003c\/span\u003e\n      \u003ch2\u003eMore Than a Laser Scanner\u003c\/h2\u003e\n    \u003c\/div\u003e\n\n    \u003cp\u003e\n      RESEPI integrates the LiDAR scanner with a GPS-aided inertial navigation\n      system, tactical-grade Inertial Labs IMU, single- or dual-antenna GNSS,\n      onboard Linux processing and data logging. The payload can be operated\n      with a hardware button or through a wirelessly connected device using a\n      straightforward web interface.\n    \u003c\/p\u003e\n\n    \u003cp\u003e\n      RTK and PPK workflows support accurate positioning, while optional camera\n      integration adds visual context for point-cloud colorization, corridor\n      documentation and complementary photogrammetry.\n    \u003c\/p\u003e\n\n    \u003cdiv class=\"mxavia__callout\"\u003e\n      \u003cp\u003e\n        \u003cstrong\u003eWhat makes Avia different:\u003c\/strong\u003e This is not the RESEPI\n        configuration selected for the widest possible scene coverage. It is\n        selected when low payload weight, concentrated point density and\n        efficient collection along a defined corridor are the priority.\n      \u003c\/p\u003e\n    \u003c\/div\u003e\n  \u003c\/section\u003e\n\n  \u003c!-- KEY SPECIFICATIONS --\u003e\n  \u003csection\u003e\n    \u003cdiv class=\"mxavia__section-head\"\u003e\n      \u003cspan class=\"mxavia__eyebrow\"\u003ePerformance at a Glance\u003c\/span\u003e\n      \u003ch2\u003eBuilt for Endurance and Focused Data Collection\u003c\/h2\u003e\n    \u003c\/div\u003e\n\n    \u003cdiv class=\"mxavia__stat-list\"\u003e\n      \u003cdiv class=\"mxavia__stat\"\u003e\n        \u003cstrong\u003e0.9 kg\u003c\/strong\u003e\n        \u003cspan\u003ePayload weight without the optional camera\u003c\/span\u003e\n      \u003c\/div\u003e\n      \u003cdiv class=\"mxavia__stat\"\u003e\n        \u003cstrong\u003e1.2 kg\u003c\/strong\u003e\n        \u003cspan\u003ePayload weight with the 24 MP mapping camera\u003c\/span\u003e\n      \u003c\/div\u003e\n      \u003cdiv class=\"mxavia__stat\"\u003e\n        \u003cstrong\u003e85 m\u003c\/strong\u003e\n        \u003cspan\u003eRecommended maximum operating altitude AGL\u003c\/span\u003e\n      \u003c\/div\u003e\n      \u003cdiv class=\"mxavia__stat\"\u003e\n        \u003cstrong\u003e190 m\u003c\/strong\u003e\n        \u003cspan\u003ePublished range to suitable 10% reflectivity targets\u003c\/span\u003e\n      \u003c\/div\u003e\n      \u003cdiv class=\"mxavia__stat\"\u003e\n        \u003cstrong\u003e3 returns\u003c\/strong\u003e\n        \u003cspan\u003eMaximum returns per pulse for layered terrain and vegetation information\u003c\/span\u003e\n      \u003c\/div\u003e\n      \u003cdiv class=\"mxavia__stat\"\u003e\n        \u003cstrong\u003e16 W\u003c\/strong\u003e\n        \u003cspan\u003eLow payload power consumption\u003c\/span\u003e\n      \u003c\/div\u003e\n    \u003c\/div\u003e\n  \u003c\/section\u003e\n\n  \u003c!-- APPLICATIONS --\u003e\n  \u003csection\u003e\n    \u003cdiv class=\"mxavia__section-head\"\u003e\n      \u003cspan class=\"mxavia__eyebrow\"\u003eMission-Focused Applications\u003c\/span\u003e\n      \u003ch2\u003eWhere the RESEPI LITE Avia Earns Its Keep\u003c\/h2\u003e\n      \u003cp\u003e\n        Avia is most compelling when the project follows a corridor, contains\n        difficult-to-detect thin objects or benefits directly from a lighter\n        payload and longer usable flight time.\n      \u003c\/p\u003e\n    \u003c\/div\u003e\n\n    \u003carticle class=\"mxavia__card\"\u003e\n      \u003ch3\u003eCritical Infrastructure and Utility Corridors\u003c\/h3\u003e\n      \u003cp\u003e\n        Powerlines, communications cables and similar assets can be difficult\n        to represent because they are narrow and may occupy only a small part\n        of the scan area. Avia concentrates laser measurements into a focused\n        scan window, helping these linear features stand out in the point\n        cloud.\n      \u003c\/p\u003e\n      \u003cul class=\"mxavia__list\"\u003e\n        \u003cli\u003eTransmission and distribution lines\u003c\/li\u003e\n        \u003cli\u003eTelecommunications corridors\u003c\/li\u003e\n        \u003cli\u003ePoles, conductors and associated right-of-way features\u003c\/li\u003e\n        \u003cli\u003ePost-storm utility inspection and access assessment\u003c\/li\u003e\n      \u003c\/ul\u003e\n    \u003c\/article\u003e\n\n    \u003carticle class=\"mxavia__card\"\u003e\n      \u003ch3\u003eEmergency Management and Linear Damage Assessment\u003c\/h3\u003e\n      \u003cp\u003e\n        The low weight and concentrated collection pattern are well suited to\n        rapid mapping along a defined route after storms, floods, wildfires or\n        infrastructure failures.\n      \u003c\/p\u003e\n      \u003cul class=\"mxavia__list\"\u003e\n        \u003cli\u003eRoad and evacuation-route assessment\u003c\/li\u003e\n        \u003cli\u003eLevees, drainage corridors and flood-control infrastructure\u003c\/li\u003e\n        \u003cli\u003eRail, trail and pipeline inspections\u003c\/li\u003e\n        \u003cli\u003eLong, narrow search areas and access corridors\u003c\/li\u003e\n      \u003c\/ul\u003e\n    \u003c\/article\u003e\n\n    \u003carticle class=\"mxavia__card\"\u003e\n      \u003ch3\u003eAirports, Transportation and Civil Government\u003c\/h3\u003e\n      \u003cp\u003e\n        Avia can maintain useful point concentration while collecting long,\n        narrow assets such as runways, roadways and transportation rights of\n        way.\n      \u003c\/p\u003e\n      \u003cul class=\"mxavia__list\"\u003e\n        \u003cli\u003eAirport runways and surrounding infrastructure\u003c\/li\u003e\n        \u003cli\u003eRoadway and rail corridor mapping\u003c\/li\u003e\n        \u003cli\u003ePublic works asset inventories\u003c\/li\u003e\n        \u003cli\u003eGIS base data for long linear projects\u003c\/li\u003e\n      \u003c\/ul\u003e\n    \u003c\/article\u003e\n\n    \u003carticle class=\"mxavia__card\"\u003e\n      \u003ch3\u003ePublic Safety and Forensic Use\u003c\/h3\u003e\n      \u003cp\u003e\n        Avia can support public-safety documentation when the scene itself is\n        linear—for example, an extended roadway incident, rail event, flood\n        path or utility-related emergency. It can also provide terrain and\n        corridor context around a larger response area.\n      \u003c\/p\u003e\n      \u003cul class=\"mxavia__list\"\u003e\n        \u003cli\u003eExtended roadway and rail incidents\u003c\/li\u003e\n        \u003cli\u003eUtility-related crime or damage documentation\u003c\/li\u003e\n        \u003cli\u003eRoute, perimeter and access mapping\u003c\/li\u003e\n        \u003cli\u003eSupplemental aerial context for ground-based scene capture\u003c\/li\u003e\n      \u003c\/ul\u003e\n    \u003c\/article\u003e\n\n    \u003cdiv class=\"mxavia__warning\"\u003e\n      \u003cp\u003e\n        \u003cstrong\u003eImportant selection guidance:\u003c\/strong\u003e For dense building\n        geometry, comprehensive 360-degree scene capture or the most\n        accuracy-focused crime and accident-scene reconstruction, another\n        RESEPI configuration may be a better primary choice. Avia is strongest\n        when its low weight and focused point density directly match the\n        mission.\n      \u003c\/p\u003e\n    \u003c\/div\u003e\n  \u003c\/section\u003e\n\n  \u003c!-- WHY FOCUSED FOV MATTERS --\u003e\n  \u003csection\u003e\n    \u003cdiv class=\"mxavia__section-head\"\u003e\n      \u003cspan class=\"mxavia__eyebrow\"\u003eFocused Scan Geometry\u003c\/span\u003e\n      \u003ch2\u003eWhy a Narrower Field of View Can Be an Advantage\u003c\/h2\u003e\n    \u003c\/div\u003e\n\n    \u003cp\u003e\n      Many LiDAR buyers assume that a wider field of view is always better.\n      For a corridor mission, however, spreading measurements across a large\n      area can place fewer points on the feature that matters most.\n    \u003c\/p\u003e\n\n    \u003cp\u003e\n      Avia's approximately 70.4-degree horizontal field of view concentrates\n      the scan across the flight path. Depending on the selected scanning\n      pattern, the published vertical field of view can vary substantially.\n      This allows the operator to tailor collection around point concentration,\n      corridor width and the target geometry.\n    \u003c\/p\u003e\n\n    \u003cdiv class=\"mxavia__callout\"\u003e\n      \u003cp\u003e\n        \u003cstrong\u003eOperational benefit:\u003c\/strong\u003e A lighter payload and focused\n        scan pattern can support faster corridor collection while preserving\n        useful point density on conductors, narrow assets and long strips of\n        terrain.\n      \u003c\/p\u003e\n    \u003c\/div\u003e\n  \u003c\/section\u003e\n\n  \u003c!-- CAMERA --\u003e\n  \u003csection\u003e\n    \u003cdiv class=\"mxavia__section-head\"\u003e\n      \u003cspan class=\"mxavia__eyebrow\"\u003eOptional RGB Mapping\u003c\/span\u003e\n      \u003ch2\u003eAdd Visual Context Without Giving Up a Compact Payload\u003c\/h2\u003e\n    \u003c\/div\u003e\n\n    \u003carticle class=\"mxavia__card mxavia__card--dark\"\u003e\n      \u003ch3\u003e24 MP RGB Mapping Camera\u003c\/h3\u003e\n      \u003cp\u003e\n        The optional 24 MP camera uses a Sony E-mount 16 mm lens with an\n        approximately 70-degree field of view. It can provide imagery for\n        point-cloud colorization, site context and complementary mapping\n        products.\n      \u003c\/p\u003e\n      \u003cul class=\"mxavia__list\"\u003e\n        \u003cli\u003eColorized point clouds\u003c\/li\u003e\n        \u003cli\u003eUtility and transportation asset documentation\u003c\/li\u003e\n        \u003cli\u003eOrthomosaic and photogrammetry workflows when properly planned\u003c\/li\u003e\n        \u003cli\u003eBetter communication with nontechnical stakeholders\u003c\/li\u003e\n      \u003c\/ul\u003e\n    \u003c\/article\u003e\n\n    \u003cp class=\"mxavia__note\"\u003e\n      Camera availability and final payload weight depend on the selected\n      configuration. Image-based deliverables also depend on flight planning,\n      image overlap, lighting, processing software and ground-control methods.\n    \u003c\/p\u003e\n  \u003c\/section\u003e\n\n  \u003c!-- WORKFLOW --\u003e\n  \u003csection\u003e\n    \u003cdiv class=\"mxavia__section-head\"\u003e\n      \u003cspan class=\"mxavia__eyebrow\"\u003eFrom Flight to Deliverable\u003c\/span\u003e\n      \u003ch2\u003eA Practical RESEPI Avia Workflow\u003c\/h2\u003e\n    \u003c\/div\u003e\n\n    \u003carticle class=\"mxavia__step\"\u003e\n      \u003cspan class=\"mxavia__step-number\"\u003e1\u003c\/span\u003e\n      \u003ch3\u003eDefine the Corridor\u003c\/h3\u003e\n      \u003cp\u003e\n        Establish the required width, altitude, flight speed, line spacing,\n        target features and final deliverables.\n      \u003c\/p\u003e\n    \u003c\/article\u003e\n\n    \u003carticle class=\"mxavia__step\"\u003e\n      \u003cspan class=\"mxavia__step-number\"\u003e2\u003c\/span\u003e\n      \u003ch3\u003eCollect LiDAR and Navigation Data\u003c\/h3\u003e\n      \u003cp\u003e\n        Fly the configured route while the RESEPI payload records LiDAR,\n        GNSS and inertial information, with optional RGB imagery.\n      \u003c\/p\u003e\n    \u003c\/article\u003e\n\n    \u003carticle class=\"mxavia__step\"\u003e\n      \u003cspan class=\"mxavia__step-number\"\u003e3\u003c\/span\u003e\n      \u003ch3\u003eVerify the Mission\u003c\/h3\u003e\n      \u003cp\u003e\n        Use included field-check capabilities to confirm that the required\n        corridor and critical features were captured before leaving the site.\n      \u003c\/p\u003e\n    \u003c\/article\u003e\n\n    \u003carticle class=\"mxavia__step\"\u003e\n      \u003cspan class=\"mxavia__step-number\"\u003e4\u003c\/span\u003e\n      \u003ch3\u003eProcess and Deliver\u003c\/h3\u003e\n      \u003cp\u003e\n        Complete pre-processing and supported post-processing, then export the\n        required point-cloud, GIS, CAD, colorization or mapping deliverables.\n      \u003c\/p\u003e\n    \u003c\/article\u003e\n  \u003c\/section\u003e\n\n  \u003c!-- AIRCRAFT --\u003e\n  \u003csection class=\"mxavia__aircraft\"\u003e\n    \u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0874\/5416\/files\/Long-range-and-heavy-lift-drone-for-police-surveillance-missions.jpg?v=1769654163\" alt=\"Professional drone platforms for carrying the RESEPI LITE Livox Avia LiDAR payload\" width=\"1400\" height=\"900\" loading=\"lazy\"\u003e\n    \u003cdiv class=\"mxavia__aircraft-copy\"\u003e\n      \u003cspan class=\"mxavia__eyebrow\"\u003eGet the Payload Airborne\u003c\/span\u003e\n      \u003ch2\u003eMatch the Avia to the Right Drone Platform\u003c\/h2\u003e\n      \u003cp\u003e\n        Avia's low weight expands the range of professional aircraft that may\n        be considered. The final aircraft still must be evaluated for payload\n        power, integration interface, center of gravity, endurance, operating\n        environment, regulatory requirements and the camera configuration.\n      \u003c\/p\u003e\n      \u003ca class=\"mxavia__button\" href=\"https:\/\/www.maxsur.com\/collections\/drones\"\u003eExplore MAXSUR Drone Platforms\u003c\/a\u003e\n    \u003c\/div\u003e\n  \u003c\/section\u003e\n\n  \u003c!-- SPECIFICATIONS --\u003e\n  \u003csection\u003e\n    \u003cdiv class=\"mxavia__section-head\"\u003e\n      \u003cspan class=\"mxavia__eyebrow\"\u003eTechnical Specifications\u003c\/span\u003e\n      \u003ch2\u003eRESEPI LITE Livox Avia System Details\u003c\/h2\u003e\n      \u003cp\u003e\n        The attached manufacturer datasheet lists a 33-minute example maximum\n        flight time on the DJI M300. Actual endurance depends on aircraft,\n        batteries, camera configuration, weather, mission profile and reserve\n        requirements.\n      \u003c\/p\u003e\n    \u003c\/div\u003e\n\n    \u003c!-- Replace the href below with the Shopify Files CDN URL after uploading the PDF to Shopify. --\u003e\n    \u003ca class=\"mxavia__button mxavia__button--blue\" href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0874\/5416\/files\/RESEPI-LITE-LIVOX-AVIA-Spec-Sheet-rev-1.5-Jan-30-2026-Available-At-MAXSUR.pdf?v=1783908974\" target=\"_blank\" rel=\"noopener\"\u003e\n      Download the RESEPI LITE Avia Datasheet\n    \u003c\/a\u003e\n\n    \u003cdiv class=\"mxavia__spec-group\"\u003e\n      \u003ch3\u003eSystem Performance\u003c\/h3\u003e\n      \u003cdl class=\"mxavia__spec-list\"\u003e\n        \u003cdiv class=\"mxavia__spec-row\"\u003e\n          \u003cdt\u003eSystem vertical accuracy\u003c\/dt\u003e\n          \u003cdd\u003e3-5 cm under published Inertial Labs test conditions\u003c\/dd\u003e\n        \u003c\/div\u003e\n        \u003cdiv class=\"mxavia__spec-row\"\u003e\n          \u003cdt\u003ePrecision\u003c\/dt\u003e\n          \u003cdd\u003e4-5 cm\u003c\/dd\u003e\n        \u003c\/div\u003e\n        \u003cdiv class=\"mxavia__spec-row\"\u003e\n          \u003cdt\u003ePrecision after single 1-sigma noise removal\u003c\/dt\u003e\n          \u003cdd\u003e2-3 cm\u003c\/dd\u003e\n        \u003c\/div\u003e\n        \u003cdiv class=\"mxavia__spec-row\"\u003e\n          \u003cdt\u003eRecommended maximum AGL\u003c\/dt\u003e\n          \u003cdd\u003eUp to 85 m\u003c\/dd\u003e\n        \u003c\/div\u003e\n        \u003cdiv class=\"mxavia__spec-row\"\u003e\n          \u003cdt\u003eWeight\u003c\/dt\u003e\n          \u003cdd\u003e0.9 kg without camera; 1.2 kg with camera\u003c\/dd\u003e\n        \u003c\/div\u003e\n        \u003cdiv class=\"mxavia__spec-row\"\u003e\n          \u003cdt\u003eDimensions\u003c\/dt\u003e\n          \u003cdd\u003e20 x 13 x 9.2 cm\u003c\/dd\u003e\n        \u003c\/div\u003e\n        \u003cdiv class=\"mxavia__spec-row\"\u003e\n          \u003cdt\u003eExample maximum flight time\u003c\/dt\u003e\n          \u003cdd\u003e33 minutes on DJI M300 under manufacturer test conditions\u003c\/dd\u003e\n        \u003c\/div\u003e\n        \u003cdiv class=\"mxavia__spec-row\"\u003e\n          \u003cdt\u003eExternal storage\u003c\/dt\u003e\n          \u003cdd\u003e256 GB USB included\u003c\/dd\u003e\n        \u003c\/div\u003e\n        \u003cdiv class=\"mxavia__spec-row\"\u003e\n          \u003cdt\u003eSystem computer\u003c\/dt\u003e\n          \u003cdd\u003eQuad core, 1 GB RAM and 8 GB eMMC\u003c\/dd\u003e\n        \u003c\/div\u003e\n        \u003cdiv class=\"mxavia__spec-row\"\u003e\n          \u003cdt\u003eOperational voltage\u003c\/dt\u003e\n          \u003cdd\u003e9-45 V\u003c\/dd\u003e\n        \u003c\/div\u003e\n        \u003cdiv class=\"mxavia__spec-row\"\u003e\n          \u003cdt\u003ePower consumption\u003c\/dt\u003e\n          \u003cdd\u003e16 W\u003c\/dd\u003e\n        \u003c\/div\u003e\n      \u003c\/dl\u003e\n    \u003c\/div\u003e\n\n    \u003cdiv class=\"mxavia__spec-group\"\u003e\n      \u003ch3\u003eLivox Avia LiDAR Scanner\u003c\/h3\u003e\n      \u003cdl class=\"mxavia__spec-list\"\u003e\n        \u003cdiv class=\"mxavia__spec-row\"\u003e\n          \u003cdt\u003eLaser range capability\u003c\/dt\u003e\n          \u003cdd\u003e190 m to suitable 10% reflectivity targets; 320 m to suitable 80% reflectivity targets\u003c\/dd\u003e\n        \u003c\/div\u003e\n        \u003cdiv class=\"mxavia__spec-row\"\u003e\n          \u003cdt\u003eRange accuracy\u003c\/dt\u003e\n          \u003cdd\u003e±2 cm\u003c\/dd\u003e\n        \u003c\/div\u003e\n        \u003cdiv class=\"mxavia__spec-row\"\u003e\n          \u003cdt\u003eHorizontal field of view\u003c\/dt\u003e\n          \u003cdd\u003e70.4°\u003c\/dd\u003e\n        \u003c\/div\u003e\n        \u003cdiv class=\"mxavia__spec-row\"\u003e\n          \u003cdt\u003eVertical field of view\u003c\/dt\u003e\n          \u003cdd\u003eApproximately 4.5° or 77.2°, depending on scanning pattern\u003c\/dd\u003e\n        \u003c\/div\u003e\n        \u003cdiv class=\"mxavia__spec-row\"\u003e\n          \u003cdt\u003eBeam divergence\u003c\/dt\u003e\n          \u003cdd\u003e0.03° horizontal; 0.28° vertical\u003c\/dd\u003e\n        \u003c\/div\u003e\n        \u003cdiv class=\"mxavia__spec-row\"\u003e\n          \u003cdt\u003eNumber of lasers\u003c\/dt\u003e\n          \u003cdd\u003e6\u003c\/dd\u003e\n        \u003c\/div\u003e\n        \u003cdiv class=\"mxavia__spec-row\"\u003e\n          \u003cdt\u003eMaximum returns\u003c\/dt\u003e\n          \u003cdd\u003e3\u003c\/dd\u003e\n        \u003c\/div\u003e\n        \u003cdiv class=\"mxavia__spec-row\"\u003e\n          \u003cdt\u003ePulse rate\u003c\/dt\u003e\n          \u003cdd\u003e240,000 points\/sec single return; 480,000 dual return; 720,000 triple return\u003c\/dd\u003e\n        \u003c\/div\u003e\n      \u003c\/dl\u003e\n    \u003c\/div\u003e\n\n    \u003cdiv class=\"mxavia__spec-group\"\u003e\n      \u003ch3\u003eOptional Camera\u003c\/h3\u003e\n      \u003cdl class=\"mxavia__spec-list\"\u003e\n        \u003cdiv class=\"mxavia__spec-row\"\u003e\n          \u003cdt\u003eCamera\u003c\/dt\u003e\n          \u003cdd\u003e24 MP RGB mapping camera\u003c\/dd\u003e\n        \u003c\/div\u003e\n        \u003cdiv class=\"mxavia__spec-row\"\u003e\n          \u003cdt\u003eLens\u003c\/dt\u003e\n          \u003cdd\u003eSony E-mount 16 mm lens with approximately 70° field of view\u003c\/dd\u003e\n        \u003c\/div\u003e\n        \u003cdiv class=\"mxavia__spec-row\"\u003e\n          \u003cdt\u003eMaximum trigger rate\u003c\/dt\u003e\n          \u003cdd\u003e2 seconds\u003c\/dd\u003e\n        \u003c\/div\u003e\n        \u003cdiv class=\"mxavia__spec-row\"\u003e\n          \u003cdt\u003eExternal camera support\u003c\/dt\u003e\n          \u003cdd\u003eAvailable on select configurations\u003c\/dd\u003e\n        \u003c\/div\u003e\n      \u003c\/dl\u003e\n    \u003c\/div\u003e\n\n    \u003cdiv class=\"mxavia__spec-group\"\u003e\n      \u003ch3\u003eGPS-Aided Inertial Navigation\u003c\/h3\u003e\n      \u003cdl class=\"mxavia__spec-list\"\u003e\n        \u003cdiv class=\"mxavia__spec-row\"\u003e\n          \u003cdt\u003eIMU\u003c\/dt\u003e\n          \u003cdd\u003eInertial Labs tactical-grade Kernel IMU\u003c\/dd\u003e\n        \u003c\/div\u003e\n        \u003cdiv class=\"mxavia__spec-row\"\u003e\n          \u003cdt\u003eGNSS\u003c\/dt\u003e\n          \u003cdd\u003eSingle- or dual-antenna configuration\u003c\/dd\u003e\n        \u003c\/div\u003e\n        \u003cdiv class=\"mxavia__spec-row\"\u003e\n          \u003cdt\u003eSupported constellations\u003c\/dt\u003e\n          \u003cdd\u003eGPS, GLONASS, Galileo, BeiDou, QZSS, NavIC\/IRNSS, SBAS and available L-Band configurations\u003c\/dd\u003e\n        \u003c\/div\u003e\n        \u003cdiv class=\"mxavia__spec-row\"\u003e\n          \u003cdt\u003eFrequencies\u003c\/dt\u003e\n          \u003cdd\u003eL1, L2 and L5, dependent on receiver configuration\u003c\/dd\u003e\n        \u003c\/div\u003e\n        \u003cdiv class=\"mxavia__spec-row\"\u003e\n          \u003cdt\u003eOperation modes\u003c\/dt\u003e\n          \u003cdd\u003eRTK and PPK\u003c\/dd\u003e\n        \u003c\/div\u003e\n        \u003cdiv class=\"mxavia__spec-row\"\u003e\n          \u003cdt\u003eOutput rates\u003c\/dt\u003e\n          \u003cdd\u003eUp to 200 Hz INS; up to 2,000 Hz IMU\u003c\/dd\u003e\n        \u003c\/div\u003e\n        \u003cdiv class=\"mxavia__spec-row\"\u003e\n          \u003cdt\u003ePitch \/ roll accuracy\u003c\/dt\u003e\n          \u003cdd\u003e0.03° RTK; 0.004° PPK\u003c\/dd\u003e\n        \u003c\/div\u003e\n        \u003cdiv class=\"mxavia__spec-row\"\u003e\n          \u003cdt\u003eHeading accuracy\u003c\/dt\u003e\n          \u003cdd\u003e0.1° RTK; 0.02° PPK\u003c\/dd\u003e\n        \u003c\/div\u003e\n        \u003cdiv class=\"mxavia__spec-row\"\u003e\n          \u003cdt\u003eVelocity accuracy\u003c\/dt\u003e\n          \u003cdd\u003e\u0026lt;0.03 m\/s\u003c\/dd\u003e\n        \u003c\/div\u003e\n        \u003cdiv class=\"mxavia__spec-row\"\u003e\n          \u003cdt\u003ePosition accuracy\u003c\/dt\u003e\n          \u003cdd\u003e1 cm + 1 ppm RTK; 0.5 cm PPK under specified conditions\u003c\/dd\u003e\n        \u003c\/div\u003e\n      \u003c\/dl\u003e\n    \u003c\/div\u003e\n\n    \u003cdiv class=\"mxavia__spec-group\"\u003e\n      \u003ch3\u003eSoftware\u003c\/h3\u003e\n      \u003cdl class=\"mxavia__spec-list\"\u003e\n        \u003cdiv class=\"mxavia__spec-row\"\u003e\n          \u003cdt\u003eField checks\u003c\/dt\u003e\n          \u003cdd\u003eIncluded\u003c\/dd\u003e\n        \u003c\/div\u003e\n        \u003cdiv class=\"mxavia__spec-row\"\u003e\n          \u003cdt\u003ePre-processing\u003c\/dt\u003e\n          \u003cdd\u003eIncluded\u003c\/dd\u003e\n        \u003c\/div\u003e\n        \u003cdiv class=\"mxavia__spec-row\"\u003e\n          \u003cdt\u003ePost-processing\u003c\/dt\u003e\n          \u003cdd\u003eSupported\u003c\/dd\u003e\n        \u003c\/div\u003e\n      \u003c\/dl\u003e\n    \u003c\/div\u003e\n\n    \u003cp class=\"mxavia__note\"\u003e\n      Published values are based on Inertial Labs test conditions. Actual range,\n      accuracy, point density and deliverable quality depend on target\n      reflectivity, altitude, speed, atmospheric conditions, GNSS quality,\n      calibration, flight geometry, processing and control practices.\n    \u003c\/p\u003e\n  \u003c\/section\u003e\n\n  \u003c!-- TRAINING --\u003e\n  \u003csection\u003e\n    \u003cdiv class=\"mxavia__section-head\"\u003e\n      \u003cspan class=\"mxavia__eyebrow\"\u003eTraining and Program Support\u003c\/span\u003e\n      \u003ch2\u003eTurn the Payload Into a Repeatable Mapping Capability\u003c\/h2\u003e\n      \u003cp\u003e\n        MAXSUR can support aircraft integration, mission planning, RTK and PPK\n        workflows, field checks, processing, point-cloud quality assurance,\n        mapping-target use and GIS or CAD handoff.\n      \u003c\/p\u003e\n    \u003c\/div\u003e\n\n    \u003carticle class=\"mxavia__card\"\u003e\n      \u003ch3\u003eMAXSUR AirOps and LiDAR Workflow Training\u003c\/h3\u003e\n      \u003cul class=\"mxavia__list\"\u003e\n        \u003cli\u003ePayload installation and aircraft configuration\u003c\/li\u003e\n        \u003cli\u003eCorridor planning, altitude, speed and line spacing\u003c\/li\u003e\n        \u003cli\u003eRTK, PPK, correction data and ground control\u003c\/li\u003e\n        \u003cli\u003eField verification and data-quality checks\u003c\/li\u003e\n        \u003cli\u003eProcessing, export and deliverable handoff\u003c\/li\u003e\n        \u003cli\u003eStandard operating procedures and recurring proficiency\u003c\/li\u003e\n      \u003c\/ul\u003e\n    \u003c\/article\u003e\n  \u003c\/section\u003e\n\n  \u003c!-- RELATED COLLECTIONS --\u003e\n  \u003csection\u003e\n    \u003cdiv class=\"mxavia__section-head\"\u003e\n      \u003cspan class=\"mxavia__eyebrow\"\u003eComplete the Mapping System\u003c\/span\u003e\n      \u003ch2\u003eRelated MAXSUR Resources\u003c\/h2\u003e\n    \u003c\/div\u003e\n\n    \u003ca class=\"mxavia__link-card\" href=\"https:\/\/www.maxsur.com\/collections\/lidar\"\u003e\n      \u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0874\/5416\/files\/Drone-LiDAR-for-Crime-Scene-Mapping.jpg?v=1783441385\" alt=\"Drone LiDAR systems for public safety, emergency management and government mapping\" width=\"1000\" height=\"625\" loading=\"lazy\"\u003e\n      \u003cdiv class=\"mxavia__link-copy\"\u003e\n        \u003ch3\u003eAll Drone LiDAR Systems\u003c\/h3\u003e\n        \u003cp\u003e\n          Compare RESEPI and other LiDAR payloads by range, weight, accuracy,\n          returns, field of view and mission fit.\n        \u003c\/p\u003e\n      \u003c\/div\u003e\n    \u003c\/a\u003e\n\n    \u003ca class=\"mxavia__link-card\" href=\"https:\/\/www.maxsur.com\/collections\/mapping-targets\"\u003e\n      \u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0874\/5416\/files\/LiDAR-targets-for-crime-scene-forensics.jpg?v=1783441142\" alt=\"Survey and mapping targets for LiDAR, photogrammetry and forensic documentation\" width=\"1000\" height=\"625\" loading=\"lazy\"\u003e\n      \u003cdiv class=\"mxavia__link-copy\"\u003e\n        \u003ch3\u003eSurvey and Mapping Targets\u003c\/h3\u003e\n        \u003cp\u003e\n          Establish visible control, support quality verification and connect\n          aerial data with survey, GIS and forensic workflows.\n        \u003c\/p\u003e\n      \u003c\/div\u003e\n    \u003c\/a\u003e\n\n    \u003ca class=\"mxavia__link-card\" href=\"https:\/\/www.maxsur.com\/collections\/uas-training-and-program-support\"\u003e\n      \u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0874\/5416\/files\/UAS-Training-and-Program-Support-for-Law-Enforcement.jpg?v=1783442300\" alt=\"UAS and drone LiDAR training for public safety and government agencies\" width=\"1000\" height=\"625\" loading=\"lazy\"\u003e\n      \u003cdiv class=\"mxavia__link-copy\"\u003e\n        \u003ch3\u003eUAS Training and Program Support\u003c\/h3\u003e\n        \u003cp\u003e\n          Build pilot proficiency, mapping procedures, processing skills and a\n          sustainable operational program.\n        \u003c\/p\u003e\n      \u003c\/div\u003e\n    \u003c\/a\u003e\n  \u003c\/section\u003e\n\n  \u003c!-- FINAL CTA --\u003e\n  \u003csection class=\"mxavia__cta\"\u003e\n    \u003cspan class=\"mxavia__eyebrow\"\u003eConfigured and Supported by MAXSUR\u003c\/span\u003e\n    \u003ch2\u003eChoose Avia When Weight and Focused Point Density Matter\u003c\/h2\u003e\n    \u003cp\u003e\n      Tell MAXSUR what must be mapped, the corridor width, aircraft, target\n      features, required accuracy and final deliverable. We can help determine\n      whether the RESEPI LITE Avia is the right fit—or whether another RESEPI\n      scanner would better serve the mission.\n    \u003c\/p\u003e\n\n    \u003ca class=\"mxavia__button\" href=\"mailto:ops@maxsur.com?subject=RESEPI%20LITE%20Livox%20Avia%20Drone%20LiDAR%20System\"\u003eContact MAXSUR\u003c\/a\u003e\n    \u003ca class=\"mxavia__button mxavia__button--outline\" href=\"https:\/\/www.maxsur.com\/collections\/lidar\"\u003eCompare Drone LiDAR Systems\u003c\/a\u003e\n  \u003c\/section\u003e\n\u003c\/div\u003e","brand":"MAXSUR","offers":[{"title":"Default Title","offer_id":45990882541602,"sku":"IL-NSA-05-21-01-15-00-04","price":15500.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0874\/5416\/files\/RESEPI-Livox-AVIA-Drone-LiDAR-Payload-Front.jpg?v=1783909275","url":"https:\/\/www.maxsur.com\/products\/resepi-lite-avia-drone-lidar-system","provider":"MAXSUR","version":"1.0","type":"link"}