{"product_id":"resepi-ultra-lite-xt32-5mp-camera-fpv-gimbal","title":"Inertial Labs RESEPI Ultra Lite-XT32 5MP Camera (FPV Gimbal)","description":"\u003ch2\u003eRESEPI Ultra Lite XT-32 5MP Camera With FPV Gimbal: NDAA-Compliant Ultra-Lightweight LiDAR Payload With Real-Time Flight Visibility for Enterprise SkyScout Programs\u003c\/h2\u003e\n\u003cp\u003eThe RESEPI Ultra Lite XT-32 5MP Camera with FPV Gimbal is an NDAA-compliant, sensor-fused LiDAR scanning and mapping payload built by Inertial Labs in the USA for the WISPR SkyScout Series.\u003c\/p\u003e\n\u003cp\u003eAt 1.1 kg, it is the lightest and most compact complete LiDAR payload in the RESEPI lineup, integrating the Hesai XT-32 LiDAR with an Inertial Labs Kernel-210 IMU, NovAtel OEM7500 GNSS receiver, and an embedded 5MP colorization camera for simultaneous geotagged color capture alongside the point cloud pipeline. \u003c\/p\u003e\n\u003cp\u003eThe SkyScout-specific SnapFit adapter includes an integrated FPV camera that connects directly to the SkyScout controller, giving fleet operators real-time downward visibility during scanning missions for improved situational awareness and in-flight quality control without adding airframe complexity.\u003c\/p\u003e\n\u003cp\u003eFor enterprise fleet programs where payload weight directly limits mission endurance and area coverage, the Ultra Lite XT-32 delivers meaningful operational efficiency without sacrificing the accuracy and software depth that production programs require.\u003c\/p\u003e\n\u003cp\u003eThe Hesai XT-32 captures up to 1,280,000 pulses per second in dual-return mode across 32 channels with a 360° horizontal and 31° vertical field of view, +\/- 1 cm range accuracy, and detection range up to 120m. System accuracy is 2 to 3 cm tightening to 1.5 to 2.5 cm with 1-sigma noise removal.\u003c\/p\u003e\n\u003cp\u003ePPK positioning delivers 0.5 cm position accuracy with pitch\/roll accuracy of 0.006° and heading accuracy of 0.03°, backed by PCMasterPro with SLAM via Kudan and strip alignment via BayesMap.\u003c\/p\u003e\n\u003ch3\u003eRESEPI Ultra Lite XT-32 5MP With FPV Gimbal Mission-Ready Capabilities\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003eFPV camera integration: SkyScout SnapFit adapter delivers real-time controller visibility in flight.\u003c\/li\u003e\n\u003cli\u003eUltra-lightweight build: 1.1 kg total weight maximizes mission endurance across fleet operations.\u003c\/li\u003e\n\u003cli\u003eNDAA-compliant: secure component sourcing supports government and regulated enterprise programs.\u003c\/li\u003e\n\u003cli\u003eHesai XT-32 LiDAR: 32-channel system captures up to 1,280,000 pulses per second dual-return.\u003c\/li\u003e\n\u003cli\u003eRange accuracy: +\/- 1 cm across all channels with detection range reaching up to 120m.\u003c\/li\u003e\n\u003cli\u003eSystem accuracy: 2 to 3 cm, tightening to 1.5 to 2.5 cm with 1-sigma noise removal applied.\u003c\/li\u003e\n\u003cli\u003eKernel-210 IMU: PPK pitch\/roll accuracy of 0.006° and heading accuracy of 0.03° supported.\u003c\/li\u003e\n\u003cli\u003eNovAtel OEM7500 GNSS: PPK position accuracy of 0.5 cm for program-grade fleet positioning.\u003c\/li\u003e\n\u003cli\u003e5MP colorization camera: embedded CMOS sensor geotags color data for colorized point clouds.\u003c\/li\u003e\n\u003cli\u003eAdvanced software pipeline: SLAM via Kudan and strip alignment via BayesMap included.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cstyle\u003e\n  .resepi-comparison {\n    width: 100%;\n    max-width: 1200px;\n    margin: 0 auto;\n    padding: 0 15px;\n    box-sizing: border-box;\n    color: #1f2937;\n  }\n  .resepi-comparison *,\n  .resepi-comparison *::before,\n  .resepi-comparison *::after { box-sizing: border-box; }\n  .resepi-table-wrapper {\n    width: 100%;\n    max-width: 100%;\n    overflow-x: auto;\n    -webkit-overflow-scrolling: touch;\n    border: 1px solid #aad0eb;\n    border-radius: 8px;\n    margin: 20px 0 0;\n  }\n  .resepi-table {\n    width: 100%;\n    min-width: 950px;\n    table-layout: fixed;\n    border-collapse: collapse;\n    background: #ffffff;\n  }\n  .resepi-table th, .resepi-table td {\n    padding: 14px;\n    border: 1px solid #aad0eb;\n    text-align: left;\n    vertical-align: top;\n    font-size: 14px;\n    line-height: 1.5;\n    overflow-wrap: anywhere;\n  }\n  .resepi-table thead th { background: #127ABA; color: #ffffff; font-size: 15px; }\n  .resepi-table thead th:first-child { width: 160px; background: #0c5a8a; }\n  .resepi-table tbody th { width: 160px; background: #e6f2fa; color: #0c4f7a; font-weight: 700; }\n  .resepi-table tbody tr:nth-child(even) td { background: #f2f9fd; }\n  .resepi-table.sticky-col thead th:first-child,\n  .resepi-table.sticky-col tbody th { position: sticky; left: 0; z-index: 2; box-shadow: 2px 0 4px -1px rgba(0,0,0,0.10); }\n  .resepi-table.sticky-col thead th:first-child { z-index: 3; }\n  .resepi-table tbody tr { transition: background-color 0.15s ease, box-shadow 0.15s ease, transform 0.15s ease; }\n  .resepi-table tbody tr:hover { background-color: #ffffff; box-shadow: 0 4px 12px rgba(0,0,0,0.10); transform: translateY(-1px); position: relative; z-index: 1; }\n  .resepi-table tbody tr:hover td, .resepi-table tbody tr:hover th { background-color: #ffffff; }\n  .resepi-col-eyebrow { display: block; margin-bottom: 6px; color: #ffd166; font-size: 11px; font-weight: 700; letter-spacing: 0.08em; text-transform: uppercase; }\n  .resepi-col-name { display: block; font-weight: 700; line-height: 1.3; }\n  .resepi-scroll-note { margin: 10px 0 24px; color: #6b7280; font-size: 13px; font-style: italic; }\n  @media screen and (max-width: 749px) {\n    .resepi-table { min-width: 900px; }\n    .resepi-table thead th:first-child, .resepi-table tbody th { width: 130px; }\n    .resepi-table th, .resepi-table td { padding: 10px; font-size: 13px; }\n  }\n\u003c\/style\u003e\n\n\u003cdiv class=\"resepi-comparison\"\u003e\n  \u003cp class=\"resepi-scroll-note\"\u003eScroll horizontally to compare all payloads →\u003c\/p\u003e\n  \u003cdiv class=\"resepi-table-wrapper\"\u003e\n    \u003ctable class=\"resepi-table sticky-col\"\u003e\n      \u003cthead\u003e\n        \u003ctr\u003e\n          \u003cth\u003eSpecification\u003c\/th\u003e\n          \u003cth\u003e\n            \u003cspan class=\"resepi-col-eyebrow\"\u003eInertial Labs RESEPI\u003c\/span\u003e\n            \u003cspan class=\"resepi-col-name\"\u003eLite M2X 24MP Camera (FPV Gimbal)\u003c\/span\u003e\n          \u003c\/th\u003e\n          \u003cth\u003e\n            \u003cspan class=\"resepi-col-eyebrow\"\u003eInertial Labs RESEPI\u003c\/span\u003e\n            \u003cspan class=\"resepi-col-name\"\u003eLivox AVIA 24MP Camera (FPV Gimbal)\u003c\/span\u003e\n          \u003c\/th\u003e\n          \u003cth\u003e\n            \u003cspan class=\"resepi-col-eyebrow\"\u003eInertial Labs RESEPI\u003c\/span\u003e\n            \u003cspan class=\"resepi-col-name\"\u003eUltra Lite XT-32 5MP Camera (FPV Gimbal)\u003c\/span\u003e\n          \u003c\/th\u003e\n          \u003cth\u003e\n            \u003cspan class=\"resepi-col-eyebrow\"\u003eInertial Labs RESEPI\u003c\/span\u003e\n            \u003cspan class=\"resepi-col-name\"\u003eOuster REV7 OS1-64 24MP Camera (FPV Gimbal)\u003c\/span\u003e\n          \u003c\/th\u003e\n          \u003cth\u003e\n            \u003cspan class=\"resepi-col-eyebrow\"\u003eInertial Labs RESEPI\u003c\/span\u003e\n            \u003cspan class=\"resepi-col-name\"\u003eTeledyne EchoONE 5MP Camera (No FPV Gimbal)\u003c\/span\u003e\n          \u003c\/th\u003e\n          \u003cth\u003e\n            \u003cspan class=\"resepi-col-eyebrow\"\u003eInertial Labs RESEPI GEN-II\u003c\/span\u003e\n            \u003cspan class=\"resepi-col-name\"\u003eOuster OS1-64 61MP Camera (No FPV Gimbal)\u003c\/span\u003e\n          \u003c\/th\u003e\n        \u003c\/tr\u003e\n      \u003c\/thead\u003e\n      \u003ctbody\u003e\n        \u003ctr\u003e\n          \u003cth\u003eLiDAR sensor\u003c\/th\u003e\n          \u003ctd\u003eHesai XT-32 M2X\u003c\/td\u003e\n          \u003ctd\u003eLivox AVIA\u003c\/td\u003e\n          \u003ctd\u003eHesai XT-32\u003c\/td\u003e\n          \u003ctd\u003eOuster OS1-64 REV7\u003c\/td\u003e\n          \u003ctd\u003eTeledyne proprietary (1535 nm)\u003c\/td\u003e\n          \u003ctd\u003eOuster OS1-64 REV7\u003c\/td\u003e\n        \u003c\/tr\u003e\n        \u003ctr\u003e\n          \u003cth\u003eLaser channels\u003c\/th\u003e\n          \u003ctd\u003e32\u003c\/td\u003e\n          \u003ctd\u003e6\u003c\/td\u003e\n          \u003ctd\u003e32\u003c\/td\u003e\n          \u003ctd\u003e64\u003c\/td\u003e\n          \u003ctd\u003e4 vertical scan lines\u003c\/td\u003e\n          \u003ctd\u003e64\u003c\/td\u003e\n        \u003c\/tr\u003e\n        \u003ctr\u003e\n          \u003cth\u003ePulse rate\u003c\/th\u003e\n          \u003ctd\u003e1,920,000\/s (triple return)\u003c\/td\u003e\n          \u003ctd\u003e720,000\/s (triple return)\u003c\/td\u003e\n          \u003ctd\u003e1,280,000\/s (dual return)\u003c\/td\u003e\n          \u003ctd\u003e2,621,000\/s (dual return)\u003c\/td\u003e\n          \u003ctd\u003e400 kHz \/ 600 kHz (configurable)\u003c\/td\u003e\n          \u003ctd\u003e2,621,000\/s (dual return)\u003c\/td\u003e\n        \u003c\/tr\u003e\n        \u003ctr\u003e\n          \u003cth\u003eNumber of returns\u003c\/th\u003e\n          \u003ctd\u003e3 (triple)\u003c\/td\u003e\n          \u003ctd\u003e3 (triple)\u003c\/td\u003e\n          \u003ctd\u003e2 (dual)\u003c\/td\u003e\n          \u003ctd\u003e2 (dual)\u003c\/td\u003e\n          \u003ctd\u003eUp to 8 per pulse\u003c\/td\u003e\n          \u003ctd\u003e2 (dual)\u003c\/td\u003e\n        \u003c\/tr\u003e\n        \u003ctr\u003e\n          \u003cth\u003eLaser range\u003c\/th\u003e\n          \u003ctd\u003e80m @ 10% \/ up to 300m\u003c\/td\u003e\n          \u003ctd\u003e190m @ 10% \/ 320m @ 80% reflectivity\u003c\/td\u003e\n          \u003ctd\u003e80m @ 10% (c9-24) \/ up to 120m\u003c\/td\u003e\n          \u003ctd\u003e90m @ 10% \/ up to 200m\u003c\/td\u003e\n          \u003ctd\u003e270m @ 20% (400 kHz) \/ 225m (600 kHz)\u003c\/td\u003e\n          \u003ctd\u003e90m @ 10% \/ up to 200m\u003c\/td\u003e\n        \u003c\/tr\u003e\n        \u003ctr\u003e\n          \u003cth\u003eRange accuracy\u003c\/th\u003e\n          \u003ctd\u003e+\/- 1 cm\u003c\/td\u003e\n          \u003ctd\u003e+\/- 2 cm\u003c\/td\u003e\n          \u003ctd\u003e+\/- 1 cm\u003c\/td\u003e\n          \u003ctd\u003e+\/- 2.5 cm\u003c\/td\u003e\n          \u003ctd\u003e10 mm accuracy \/ 5 mm precision\u003c\/td\u003e\n          \u003ctd\u003e+\/- 2.5 cm\u003c\/td\u003e\n        \u003c\/tr\u003e\n        \u003ctr\u003e\n          \u003cth\u003eHorizontal FOV\u003c\/th\u003e\n          \u003ctd\u003e360°\u003c\/td\u003e\n          \u003ctd\u003e70.4°\u003c\/td\u003e\n          \u003ctd\u003e360°\u003c\/td\u003e\n          \u003ctd\u003e360°\u003c\/td\u003e\n          \u003ctd\u003e90°\u003c\/td\u003e\n          \u003ctd\u003e360°\u003c\/td\u003e\n        \u003c\/tr\u003e\n        \u003ctr\u003e\n          \u003cth\u003eVertical FOV\u003c\/th\u003e\n          \u003ctd\u003e40.3°\u003c\/td\u003e\n          \u003ctd\u003e4.5° \/ 77.2° (scan pattern dependent)\u003c\/td\u003e\n          \u003ctd\u003e31°\u003c\/td\u003e\n          \u003ctd\u003e45°\u003c\/td\u003e\n          \u003ctd\u003e4 lines: -10°, -4°, +4°, +10°\u003c\/td\u003e\n          \u003ctd\u003e45°\u003c\/td\u003e\n        \u003c\/tr\u003e\n        \u003ctr\u003e\n          \u003cth\u003eSystem accuracy\u003c\/th\u003e\n          \u003ctd\u003e2–3 cm (1.5–2.5 cm with noise removal)\u003c\/td\u003e\n          \u003ctd\u003e3–5 cm (2–3 cm with noise removal)\u003c\/td\u003e\n          \u003ctd\u003e2–3 cm (1.5–2.5 cm with noise removal)\u003c\/td\u003e\n          \u003ctd\u003e3–5 cm (2–4 cm with noise removal)\u003c\/td\u003e\n          \u003ctd\u003e1.5 cm RMSEz @ 120 m\u003c\/td\u003e\n          \u003ctd\u003e3–5 cm (2–4 cm with noise removal)\u003c\/td\u003e\n        \u003c\/tr\u003e\n        \u003ctr\u003e\n          \u003cth\u003eRecommended AGL\u003c\/th\u003e\n          \u003ctd\u003e50–100 m\u003c\/td\u003e\n          \u003ctd\u003eUp to 85 m\u003c\/td\u003e\n          \u003ctd\u003eUp to 100 m\u003c\/td\u003e\n          \u003ctd\u003eUp to 100 m\u003c\/td\u003e\n          \u003ctd\u003eUp to 205 m (400 kHz)\u003c\/td\u003e\n          \u003ctd\u003eUp to 75 m\u003c\/td\u003e\n        \u003c\/tr\u003e\n        \u003ctr\u003e\n          \u003cth\u003eIMU\u003c\/th\u003e\n          \u003ctd\u003eInertial Labs Tactical Grade IMU-P\u003c\/td\u003e\n          \u003ctd\u003eInertial Labs Tactical Grade IMU-P\u003c\/td\u003e\n          \u003ctd\u003eInertial Labs Kernel-210\u003c\/td\u003e\n          \u003ctd\u003eInertial Labs Tactical Grade IMU-P\u003c\/td\u003e\n          \u003ctd\u003eInertial Labs Kernel-210\u003c\/td\u003e\n          \u003ctd\u003eInertial Labs Kernel-210\u003c\/td\u003e\n        \u003c\/tr\u003e\n        \u003ctr\u003e\n          \u003cth\u003eGNSS receiver\u003c\/th\u003e\n          \u003ctd\u003eSingle or dual antenna\u003c\/td\u003e\n          \u003ctd\u003eSingle or dual antenna\u003c\/td\u003e\n          \u003ctd\u003eNovAtel OEM7500\u003c\/td\u003e\n          \u003ctd\u003eNovAtel OEM7720\u003c\/td\u003e\n          \u003ctd\u003eGPS, GLONASS, Galileo, BeiDou, QZSS, NavIC\u003c\/td\u003e\n          \u003ctd\u003eNovAtel OEM7720\u003c\/td\u003e\n        \u003c\/tr\u003e\n        \u003ctr\u003e\n          \u003cth\u003ePosition accuracy (PPK)\u003c\/th\u003e\n          \u003ctd\u003e0.5 cm\u003c\/td\u003e\n          \u003ctd\u003e0.5 cm\u003c\/td\u003e\n          \u003ctd\u003e0.5 cm\u003c\/td\u003e\n          \u003ctd\u003e0.5 cm\u003c\/td\u003e\n          \u003ctd\u003ePPK supported\u003c\/td\u003e\n          \u003ctd\u003e0.5 cm\u003c\/td\u003e\n        \u003c\/tr\u003e\n        \u003ctr\u003e\n          \u003cth\u003ePitch\/roll accuracy\u003c\/th\u003e\n          \u003ctd\u003e0.03° RTK \/ 0.004° PPK\u003c\/td\u003e\n          \u003ctd\u003e0.03° RTK \/ 0.006° PPK\u003c\/td\u003e\n          \u003ctd\u003e0.03° RTK \/ 0.006° PPK\u003c\/td\u003e\n          \u003ctd\u003e0.03° RTK \/ 0.006° PPK\u003c\/td\u003e\n          \u003ctd\u003e0.03° RTK \/ 0.006° PPK\u003c\/td\u003e\n          \u003ctd\u003e0.03° RTK \/ 0.004° PPK\u003c\/td\u003e\n        \u003c\/tr\u003e\n        \u003ctr\u003e\n          \u003cth\u003eHeading accuracy\u003c\/th\u003e\n          \u003ctd\u003e0.1° RTK \/ 0.02° PPK\u003c\/td\u003e\n          \u003ctd\u003e0.15° RTK \/ 0.03° PPK\u003c\/td\u003e\n          \u003ctd\u003e0.1° RTK \/ 0.03° PPK\u003c\/td\u003e\n          \u003ctd\u003e0.15° RTK \/ 0.03° PPK\u003c\/td\u003e\n          \u003ctd\u003e0.08° RTK \/ 0.03° PPK\u003c\/td\u003e\n          \u003ctd\u003e0.08° RTK \/ 0.02° PPK\u003c\/td\u003e\n        \u003c\/tr\u003e\n        \u003ctr\u003e\n          \u003cth\u003eCamera\u003c\/th\u003e\n          \u003ctd\u003e24MP RGB, Sony E-Mount 16mm, 70° FOV\u003c\/td\u003e\n          \u003ctd\u003e24MP RGB, Sony E-Mount 16mm, 70° FOV\u003c\/td\u003e\n          \u003ctd\u003e5MP CMOS colorization, fixed manual focus, 70.8° HFOV\u003c\/td\u003e\n          \u003ctd\u003e24MP RGB, Sony E-Mount 16mm, 70° FOV\u003c\/td\u003e\n          \u003ctd\u003e5MP global shutter, 80° FOV (optional 61MP Sony ILX-LR1)\u003c\/td\u003e\n          \u003ctd\u003e61MP Sony ILX-LR1, 18mm fixed, 100° FOV\u003c\/td\u003e\n        \u003c\/tr\u003e\n        \u003ctr\u003e\n          \u003cth\u003eWeight\u003c\/th\u003e\n          \u003ctd\u003e1.0 kg (no cam) \/ 1.4 kg (with cam)\u003c\/td\u003e\n          \u003ctd\u003e0.9 kg (no cam) \/ 1.2 kg (with cam)\u003c\/td\u003e\n          \u003ctd\u003e1.1 kg\u003c\/td\u003e\n          \u003ctd\u003e1.0 kg (no cam) \/ 1.4 kg (with cam)\u003c\/td\u003e\n          \u003ctd\u003e1.65 kg\u003c\/td\u003e\n          \u003ctd\u003e1.7 kg\u003c\/td\u003e\n        \u003c\/tr\u003e\n        \u003ctr\u003e\n          \u003cth\u003eStorage\u003c\/th\u003e\n          \u003ctd\u003e256 GB USB\u003c\/td\u003e\n          \u003ctd\u003e256 GB USB\u003c\/td\u003e\n          \u003ctd\u003e256 GB USB\u003c\/td\u003e\n          \u003ctd\u003e256 GB USB\u003c\/td\u003e\n          \u003ctd\u003e512 GB onboard + USB removable\u003c\/td\u003e\n          \u003ctd\u003e512 GB internal SSD\u003c\/td\u003e\n        \u003c\/tr\u003e\n        \u003ctr\u003e\n          \u003cth\u003eOnboard computer\u003c\/th\u003e\n          \u003ctd\u003eQuad Core, 1GB RAM, 8GB eMMC\u003c\/td\u003e\n          \u003ctd\u003eQuad Core, 1GB RAM, 8GB eMMC\u003c\/td\u003e\n          \u003ctd\u003eQuad Core, 1GB RAM, 8GB eMMC\u003c\/td\u003e\n          \u003ctd\u003eQuad Core, 1GB RAM, 8GB eMMC\u003c\/td\u003e\n          \u003ctd\u003e—\u003c\/td\u003e\n          \u003ctd\u003eHexacore, 8GB DDR4 RAM, 16GB eMMC\u003c\/td\u003e\n        \u003c\/tr\u003e\n        \u003ctr\u003e\n          \u003cth\u003eReal-time point cloud\u003c\/th\u003e\n          \u003ctd\u003eNo\u003c\/td\u003e\n          \u003ctd\u003eNo\u003c\/td\u003e\n          \u003ctd\u003eNo\u003c\/td\u003e\n          \u003ctd\u003eNo\u003c\/td\u003e\n          \u003ctd\u003eYes (on-sensor)\u003c\/td\u003e\n          \u003ctd\u003eYes (GEN-II)\u003c\/td\u003e\n        \u003c\/tr\u003e\n        \u003ctr\u003e\n          \u003cth\u003eSLAM\u003c\/th\u003e\n          \u003ctd\u003eNo\u003c\/td\u003e\n          \u003ctd\u003eNo\u003c\/td\u003e\n          \u003ctd\u003eYes (Kudan)\u003c\/td\u003e\n          \u003ctd\u003eNo\u003c\/td\u003e\n          \u003ctd\u003eNo\u003c\/td\u003e\n          \u003ctd\u003eYes (Kudan)\u003c\/td\u003e\n        \u003c\/tr\u003e\n        \u003ctr\u003e\n          \u003cth\u003eStrip alignment\u003c\/th\u003e\n          \u003ctd\u003eNo\u003c\/td\u003e\n          \u003ctd\u003eNo\u003c\/td\u003e\n          \u003ctd\u003eYes (BayesMap)\u003c\/td\u003e\n          \u003ctd\u003eNo\u003c\/td\u003e\n          \u003ctd\u003eOptional (Teledyne LMS Pro)\u003c\/td\u003e\n          \u003ctd\u003eYes (BayesMap)\u003c\/td\u003e\n        \u003c\/tr\u003e\n        \u003ctr\u003e\n          \u003cth\u003eNDAA compliance\u003c\/th\u003e\n          \u003ctd\u003eYes\u003c\/td\u003e\n          \u003ctd\u003eYes\u003c\/td\u003e\n          \u003ctd\u003eYes\u003c\/td\u003e\n          \u003ctd\u003eYes\u003c\/td\u003e\n          \u003ctd\u003eYes (FY2020 Sec 848 + FY2023 Sec 817)\u003c\/td\u003e\n          \u003ctd\u003eYes\u003c\/td\u003e\n        \u003c\/tr\u003e\n        \u003ctr\u003e\n          \u003cth\u003eIP rating\u003c\/th\u003e\n          \u003ctd\u003e—\u003c\/td\u003e\n          \u003ctd\u003e—\u003c\/td\u003e\n          \u003ctd\u003e—\u003c\/td\u003e\n          \u003ctd\u003e—\u003c\/td\u003e\n          \u003ctd\u003eIP54\u003c\/td\u003e\n          \u003ctd\u003e—\u003c\/td\u003e\n        \u003c\/tr\u003e\n        \u003ctr\u003e\n          \u003cth\u003eFPV Gimbal\u003c\/th\u003e\n          \u003ctd\u003eYes (SkyScout SnapFit)\u003c\/td\u003e\n          \u003ctd\u003eYes (SkyScout SnapFit)\u003c\/td\u003e\n          \u003ctd\u003eYes (SkyScout SnapFit)\u003c\/td\u003e\n          \u003ctd\u003eYes (SkyScout SnapFit)\u003c\/td\u003e\n          \u003ctd\u003eNo\u003c\/td\u003e\n          \u003ctd\u003eNo (standard SnapFit)\u003c\/td\u003e\n        \u003c\/tr\u003e\n        \u003ctr\u003e\n          \u003cth\u003eBest for\u003c\/th\u003e\n          \u003ctd\u003eVegetation analysis, dense canopy, highest range accuracy\u003c\/td\u003e\n          \u003ctd\u003ePowerline surveys, corridor mapping, high-speed large-area passes\u003c\/td\u003e\n          \u003ctd\u003eEndurance missions, weight-sensitive fleet deployments\u003c\/td\u003e\n          \u003ctd\u003eWide-area terrain mapping, site surveys, construction volumetrics\u003c\/td\u003e\n          \u003ctd\u003eUtility corridor mapping, government programs, real-time QC\u003c\/td\u003e\n          \u003ctd\u003eHigh-res imaging + LiDAR fusion, advanced survey programs\u003c\/td\u003e\n        \u003c\/tr\u003e\n      \u003c\/tbody\u003e\n    \u003c\/table\u003e\n  \u003c\/div\u003e\n\u003c\/div\u003e\n\u003cp\u003eThe RESEPI Ultra Lite XT-32 5MP Camera with FPV Gimbal fills a specific role in enterprise SkyScout Series fleet programs: a complete, NDAA-compliant LiDAR payload that delivers production-grade accuracy, colorized point cloud output, real-time FPV visibility, and the full PCMasterPro software pipeline in the smallest and lightest form factor available.\u003c\/p\u003e\n\u003cp\u003eFor fleet operators running utilities mapping, site surveying, construction volumetrics, precision agriculture, or forestry programs where payload weight and flight endurance are primary operational constraints, this configuration delivers consistent survey-grade results without the weight penalty of larger RESEPI systems.\u003c\/p\u003e\n\u003cp\u003eDronefly carries the RESEPI Ultra Lite XT-32 5MP Camera with FPV Gimbal for the WISPR SkyScout Series, including the complete system with SkyScout SnapFit adapter, 256 GB USB storage, and full PCMasterPro software pipeline.\u003c\/p\u003e\n\u003cp\u003eOrder the RESEPI Ultra Lite XT-32 5MP Camera with FPV Gimbal at Dronefly today.\u003c\/p\u003e","brand":"WISPR","offers":[{"title":"Default Title","offer_id":52629776335141,"sku":"S-WSP-RESEPI-ULTXT32","price":22425.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0884\/4908\/9829\/files\/InertialLabsRESEPIUltraLite-XT325MPCamera_FPVGimbal_2.webp?v=1782450075","url":"https:\/\/www.dronefly.com\/products\/resepi-ultra-lite-xt32-5mp-camera-fpv-gimbal","provider":"DroneFly","version":"1.0","type":"link"}