{"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: Ultra-Lightweight LiDAR Scanning Payload With Real-Time Flight Visibility for the SkyScout Series\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\u003eThe lightest and most compact complete LiDAR payload in the RESEPI lineup at 1.1 kg, it integrates the Hesai XT-32 LiDAR with an Inertial Labs Kernel-210 IMU, NovAtel OEM7500 GNSS receiver, and an embedded 5MP colorization camera — delivering high-accuracy point cloud data with simultaneous color capture in a package designed for maximum flight endurance.\u003c\/p\u003e\n\u003cp\u003eThe SkyScout-specific SnapFit adapter includes an integrated FPV camera that connects directly to the SkyScout controller, giving operators real-time downward visibility during scanning missions for improved situational awareness and in-flight quality control.\u003c\/p\u003e\n\u003cp\u003eThe Hesai XT-32 LiDAR delivers a full 360° horizontal field of view with a 31° vertical FOV, capturing up to 1,280,000 pulses per second in dual-return mode across 32 laser channels. Laser range reaches 80m at 10% reflectivity on central channels and up to 120m overall, with a range accuracy of +\/- 1 cm.\u003c\/p\u003e\n\u003cp\u003eSystem accuracy is 2 to 3 cm, tightening to 1.5 to 2.5 cm with 1-sigma noise removal. The Kernel-210 IMU paired with a NovAtel OEM7500 GNSS receiver delivers PPK position accuracy of 0.5 cm with pitch\/roll accuracy of 0.006° and heading accuracy of 0.03°. The PCMasterPro software suite includes SLAM via Kudan, strip alignment via BayesMap, field checks, pre-processing, and post-processing support.\u003c\/p\u003e\n\u003ch3\u003eRESEPI Ultra Lite XT-32 5MP With FPV Gimbal Core Features and Advantages\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 design: 1.1 kg total weight maximizes flight endurance on the SkyScout Series.\u003c\/li\u003e\n\u003cli\u003eNDAA-compliant: secure component sourcing supports government and regulated industry 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 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\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\u003cli\u003eComplete software suite: field checks, pre-processing, and post-processing software included.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cstyle\u003e\n  .ms-wrap {\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  .ms-wrap *,\n  .ms-wrap *::before,\n  .ms-wrap *::after { box-sizing: border-box; }\n  .ms-scroll {\n    width: 100%;\n    overflow-x: auto;\n    -webkit-overflow-scrolling: touch;\n    border: 1px solid #dce3eb;\n    border-radius: 8px;\n    margin: 20px 0 0;\n  }\n  .ms-table {\n    width: 100%;\n    min-width: 580px;\n    table-layout: fixed;\n    border-collapse: collapse;\n    background: #ffffff;\n  }\n  .ms-table th, .ms-table td {\n    padding: 13px 14px;\n    border: 1px solid #dce3eb;\n    text-align: left;\n    vertical-align: top;\n    font-size: 14px;\n    line-height: 1.5;\n    overflow-wrap: anywhere;\n  }\n  .ms-table thead th { background: #0e2a4e; color: #ffffff; font-size: 14px; }\n  .ms-table thead th:first-child { width: 190px; background: #08182f; }\n  .ms-table tbody th { width: 190px; background: #f4f7fa; color: #0e2a4e; font-weight: 700; }\n  .ms-table tbody tr:nth-child(even) td { background: #f8fafc; }\n  .ms-table.sticky-col thead th:first-child,\n  .ms-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  .ms-table.sticky-col thead th:first-child { z-index: 3; }\n  .ms-table tbody tr { transition: background-color 0.15s ease, box-shadow 0.15s ease, transform 0.15s ease; }\n  .ms-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  .ms-table tbody tr:hover td, .ms-table tbody tr:hover th { background-color: #ffffff; }\n  .ms-col-eyebrow { display: block; margin-bottom: 5px; color: #f4a340; font-size: 11px; font-weight: 700; letter-spacing: 0.08em; text-transform: uppercase; }\n  .ms-col-name { display: block; font-weight: 700; line-height: 1.3; }\n  .ms-scroll-note { margin: 10px 0 24px; color: #6b7280; font-size: 13px; font-style: italic; }\n  @media screen and (max-width: 749px) {\n    .ms-table { min-width: 500px; }\n    .ms-table thead th:first-child, .ms-table tbody th { width: 140px; }\n    .ms-table th, .ms-table td { padding: 10px; font-size: 13px; }\n  }\n\u003c\/style\u003e\n\n\u003cdiv class=\"ms-wrap\"\u003e\n  \u003cp class=\"ms-scroll-note\"\u003eScroll horizontally to compare all payloads →\u003c\/p\u003e\n  \u003cdiv class=\"ms-scroll\"\u003e\n    \u003ctable class=\"ms-table sticky-col\"\u003e\n      \u003cthead\u003e\n        \u003ctr\u003e\n          \u003cth\u003eSpecification\u003c\/th\u003e\n          \u003cth\u003e\n            \u003cspan class=\"ms-col-eyebrow\"\u003eInertial Labs RESEPI\u003c\/span\u003e\n            \u003cspan class=\"ms-col-name\"\u003eLivox AVIA 24MP Camera (FPV Gimbal)\u003c\/span\u003e\n          \u003c\/th\u003e\n          \u003cth\u003e\n            \u003cspan class=\"ms-col-eyebrow\"\u003eInertial Labs RESEPI\u003c\/span\u003e\n            \u003cspan class=\"ms-col-name\"\u003eOuster REV7 OS1-64 24MP Camera (FPV Gimbal)\u003c\/span\u003e\n          \u003c\/th\u003e\n          \u003cth\u003e\n            \u003cspan class=\"ms-col-eyebrow\"\u003eInertial Labs RESEPI GEN-II\u003c\/span\u003e\n            \u003cspan class=\"ms-col-name\"\u003eOuster OS1-64 61MP Camera (No FPV Gimbal)\u003c\/span\u003e\n          \u003c\/th\u003e\n          \u003cth\u003e\n            \u003cspan class=\"ms-col-eyebrow\"\u003eInertial Labs RESEPI\u003c\/span\u003e\n            \u003cspan class=\"ms-col-name\"\u003eLite M2X 24MP Camera (FPV Gimbal)\u003c\/span\u003e\n          \u003c\/th\u003e\n          \u003cth\u003e\n            \u003cspan class=\"ms-col-eyebrow\"\u003eInertial Labs RESEPI\u003c\/span\u003e\n            \u003cspan class=\"ms-col-name\"\u003eUltra Lite XT-32 5MP Camera (FPV Gimbal)\u003c\/span\u003e\n          \u003c\/th\u003e\n          \u003cth\u003e\n            \u003cspan class=\"ms-col-eyebrow\"\u003eInertial Labs RESEPI\u003c\/span\u003e\n            \u003cspan class=\"ms-col-name\"\u003eTeledyne EchoONE 5MP 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\u003eLivox AVIA\u003c\/td\u003e\n          \u003ctd\u003eOuster OS1-64 REV7\u003c\/td\u003e\n          \u003ctd\u003eOuster OS1-64 REV7\u003c\/td\u003e\n          \u003ctd\u003eHesai XT-32 M2X\u003c\/td\u003e\n          \u003ctd\u003eHesai XT-32\u003c\/td\u003e\n          \u003ctd\u003eTeledyne proprietary (1535 nm)\u003c\/td\u003e\n        \u003c\/tr\u003e\n        \u003ctr\u003e\n          \u003cth\u003eLaser channels\u003c\/th\u003e\n          \u003ctd\u003e6\u003c\/td\u003e\n          \u003ctd\u003e64\u003c\/td\u003e\n          \u003ctd\u003e64\u003c\/td\u003e\n          \u003ctd\u003e32\u003c\/td\u003e\n          \u003ctd\u003e32\u003c\/td\u003e\n          \u003ctd\u003e4 vertical scan lines\u003c\/td\u003e\n        \u003c\/tr\u003e\n        \u003ctr\u003e\n          \u003cth\u003ePulse rate\u003c\/th\u003e\n          \u003ctd\u003e720,000\/s (triple return)\u003c\/td\u003e\n          \u003ctd\u003e2,621,000\/s (dual return)\u003c\/td\u003e\n          \u003ctd\u003e2,621,000\/s (dual return)\u003c\/td\u003e\n          \u003ctd\u003e1,920,000\/s (triple return)\u003c\/td\u003e\n          \u003ctd\u003e1,280,000\/s (dual return)\u003c\/td\u003e\n          \u003ctd\u003e400 kHz \/ 600 kHz (configurable)\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\u003e2 (dual)\u003c\/td\u003e\n          \u003ctd\u003e2 (dual)\u003c\/td\u003e\n          \u003ctd\u003e3 (triple)\u003c\/td\u003e\n          \u003ctd\u003e2 (dual)\u003c\/td\u003e\n          \u003ctd\u003eUp to 8 per pulse\u003c\/td\u003e\n        \u003c\/tr\u003e\n        \u003ctr\u003e\n          \u003cth\u003eLaser range\u003c\/th\u003e\n          \u003ctd\u003e190m @ 10% \/ 320m @ 80% reflectivity\u003c\/td\u003e\n          \u003ctd\u003e90m @ 10% \/ up to 200m\u003c\/td\u003e\n          \u003ctd\u003e90m @ 10% \/ up to 200m\u003c\/td\u003e\n          \u003ctd\u003e80m @ 10% \/ up to 300m\u003c\/td\u003e\n          \u003ctd\u003e80m @ 10% (c9-24) \/ up to 120m\u003c\/td\u003e\n          \u003ctd\u003e270m @ 20% (400 kHz) \/ 225m (600 kHz)\u003c\/td\u003e\n        \u003c\/tr\u003e\n        \u003ctr\u003e\n          \u003cth\u003eRange accuracy\u003c\/th\u003e\n          \u003ctd\u003e+\/- 2 cm\u003c\/td\u003e\n          \u003ctd\u003e+\/- 2.5 cm\u003c\/td\u003e\n          \u003ctd\u003e+\/- 2.5 cm\u003c\/td\u003e\n          \u003ctd\u003e+\/- 1 cm\u003c\/td\u003e\n          \u003ctd\u003e+\/- 1 cm\u003c\/td\u003e\n          \u003ctd\u003e10 mm accuracy \/ 5 mm precision\u003c\/td\u003e\n        \u003c\/tr\u003e\n        \u003ctr\u003e\n          \u003cth\u003eHorizontal FOV\u003c\/th\u003e\n          \u003ctd\u003e70.4°\u003c\/td\u003e\n          \u003ctd\u003e360°\u003c\/td\u003e\n          \u003ctd\u003e360°\u003c\/td\u003e\n          \u003ctd\u003e360°\u003c\/td\u003e\n          \u003ctd\u003e360°\u003c\/td\u003e\n          \u003ctd\u003e90°\u003c\/td\u003e\n        \u003c\/tr\u003e\n        \u003ctr\u003e\n          \u003cth\u003eVertical FOV\u003c\/th\u003e\n          \u003ctd\u003e4.5° \/ 77.2° (scan pattern dependent)\u003c\/td\u003e\n          \u003ctd\u003e45°\u003c\/td\u003e\n          \u003ctd\u003e45°\u003c\/td\u003e\n          \u003ctd\u003e40.3°\u003c\/td\u003e\n          \u003ctd\u003e31°\u003c\/td\u003e\n          \u003ctd\u003e4 lines: -10°, -4°, +4°, +10°\u003c\/td\u003e\n        \u003c\/tr\u003e\n        \u003ctr\u003e\n          \u003cth\u003eSystem accuracy\u003c\/th\u003e\n          \u003ctd\u003e3–5 cm (2–3 cm with noise removal)\u003c\/td\u003e\n          \u003ctd\u003e3–5 cm (2–4 cm with noise removal)\u003c\/td\u003e\n          \u003ctd\u003e3–5 cm (2–4 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\u003e2–3 cm (1.5–2.5 cm with noise removal)\u003c\/td\u003e\n          \u003ctd\u003e1.5 cm RMSEz @ 120 m\u003c\/td\u003e\n        \u003c\/tr\u003e\n        \u003ctr\u003e\n          \u003cth\u003eRecommended AGL\u003c\/th\u003e\n          \u003ctd\u003eUp to 85 m\u003c\/td\u003e\n          \u003ctd\u003eUp to 100 m\u003c\/td\u003e\n          \u003ctd\u003eUp to 75 m\u003c\/td\u003e\n          \u003ctd\u003e50–100 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        \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\u003eNovAtel OEM7720\u003c\/td\u003e\n          \u003ctd\u003eNovAtel OEM7720\u003c\/td\u003e\n          \u003ctd\u003eSingle or dual antenna\u003c\/td\u003e\n          \u003ctd\u003eNovAtel OEM7500\u003c\/td\u003e\n          \u003ctd\u003eGPS, GLONASS, Galileo, BeiDou, QZSS, NavIC\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\u003e0.5 cm\u003c\/td\u003e\n          \u003ctd\u003ePPK supported\u003c\/td\u003e\n        \u003c\/tr\u003e\n        \u003ctr\u003e\n          \u003cth\u003ePitch\/roll accuracy\u003c\/th\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          \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        \u003c\/tr\u003e\n        \u003ctr\u003e\n          \u003cth\u003eHeading accuracy\u003c\/th\u003e\n          \u003ctd\u003e0.15° RTK \/ 0.03° PPK\u003c\/td\u003e\n          \u003ctd\u003e0.15° RTK \/ 0.03° PPK\u003c\/td\u003e\n          \u003ctd\u003e0.08° RTK \/ 0.02° PPK\u003c\/td\u003e\n          \u003ctd\u003e0.1° RTK \/ 0.02° PPK\u003c\/td\u003e\n          \u003ctd\u003e0.1° RTK \/ 0.03° PPK\u003c\/td\u003e\n          \u003ctd\u003e0.08° RTK \/ 0.03° 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\u003e61MP Sony ILX-LR1, 18mm fixed, 100° 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\u003e5MP global shutter, 80° FOV (optional 61MP Sony ILX-LR1)\u003c\/td\u003e\n        \u003c\/tr\u003e\n        \u003ctr\u003e\n          \u003cth\u003eWeight\u003c\/th\u003e\n          \u003ctd\u003e0.9 kg (no cam) \/ 1.2 kg (with cam)\u003c\/td\u003e\n          \u003ctd\u003e1.0 kg (no cam) \/ 1.4 kg (with cam)\u003c\/td\u003e\n          \u003ctd\u003e1.7 kg\u003c\/td\u003e\n          \u003ctd\u003e1.0 kg (no cam) \/ 1.4 kg (with cam)\u003c\/td\u003e\n          \u003ctd\u003e1.1 kg\u003c\/td\u003e\n          \u003ctd\u003e1.65 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\u003e512 GB internal SSD\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        \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\u003eHexacore, 8GB DDR4 RAM, 16GB 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        \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\u003eYes (GEN-II)\u003c\/td\u003e\n          \u003ctd\u003eNo\u003c\/td\u003e\n          \u003ctd\u003eNo\u003c\/td\u003e\n          \u003ctd\u003eYes (on-sensor)\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\u003eYes (Kudan)\u003c\/td\u003e\n          \u003ctd\u003eNo\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\u003eYes (BayesMap)\u003c\/td\u003e\n          \u003ctd\u003eOptional (Teledyne LMS Pro)\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\u003c\/td\u003e\n          \u003ctd\u003eYes (FY2020 Sec 848 + FY2023 Sec 817)\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\u003e—\u003c\/td\u003e\n          \u003ctd\u003eIP54\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\u003eNo (standard 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        \u003c\/tr\u003e\n        \u003ctr\u003e\n          \u003cth\u003eBest for\u003c\/th\u003e\n          \u003ctd\u003ePowerline surveys, corridor mapping, high-speed large-area passes\u003c\/td\u003e\n          \u003ctd\u003eWide-area terrain mapping, site surveys, construction volumetrics\u003c\/td\u003e\n          \u003ctd\u003eHigh-res imaging + LiDAR fusion, advanced survey programs\u003c\/td\u003e\n          \u003ctd\u003eVegetation analysis, dense canopy, highest range accuracy\u003c\/td\u003e\n          \u003ctd\u003eEndurance missions, weight-sensitive deployments\u003c\/td\u003e\n          \u003ctd\u003eUtility corridor mapping, government programs, real-time QC\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 is the right choice for SkyScout Series operators who need a complete, high-accuracy LiDAR system in the smallest and lightest form factor available.\u003c\/p\u003e\n\u003cp\u003eIts 1.1 kg build, +\/- 1 cm range accuracy, 2 to 3 cm system accuracy, and embedded colorization camera make it a capable primary sensor for utilities mapping, construction volumetrics, site surveying, precision agriculture, forestry, and any mission where payload weight and flight endurance are as important as data quality.\u003c\/p\u003e\n\u003cp\u003eDSLRPros 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. Our team can help you determine which RESEPI configuration best fits your scanning and mapping workflow.\u003c\/p\u003e\n\u003cp\u003eOrder the RESEPI Ultra Lite XT-32 5MP Camera with FPV Gimbal at DSLRPros today.\u003c\/p\u003e","brand":"WISPR","offers":[{"title":"Default Title","offer_id":47908719984870,"sku":"S-WSP-RESEPI-ULTXT32","price":22425.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0699\/2769\/8662\/files\/InertialLabsRESEPIUltraLite-XT325MPCamera_FPVGimbal.webp?v=1782449970","url":"https:\/\/www.dslrpros.com\/products\/resepi-ultra-lite-xt32-5mp-camera-fpv-gimbal","provider":"DSLRpros","version":"1.0","type":"link"}