{"product_id":"resepi-lite-m2x-24mp-camera-fpv-gimbal","title":"Inertial Labs RESEPI Lite-M2X 24MP Camera (FPV Gimbal)","description":"\u003ch2\u003eRESEPI Lite M2X 24MP Camera With FPV Gimbal: NDAA-Compliant Triple-Return LiDAR Payload With Real-Time Flight Visibility for Enterprise SkyScout Programs\u003c\/h2\u003e\n\u003cp\u003eThe RESEPI Lite M2X 24MP Camera with FPV Gimbal is a professional, NDAA-compliant sensor-fused LiDAR scanning and mapping payload built by Inertial Labs in the USA for the WISPR SkyScout Series. It integrates the Hesai XT-32 M2X LiDAR with an Inertial Labs Tactical Grade IMU-P and high-accuracy GNSS receiver, delivering a lighter and more accurate scanning system with triple-return capability and +\/- 1 cm range accuracy across a 300m detection envelope.\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\u003eThe Hesai XT-32 M2X delivers a full 360° horizontal field of view with a 40.3° vertical FOV, capturing up to 1,920,000 pulses per second in triple-return mode across 32 laser channels. System vertical accuracy is 2 to 3 cm, tightening to 1.5 to 2.5 cm with 1-sigma noise removal — the tightest accuracy figures in the RESEPI lineup and well-suited to enterprise programs where deliverable precision is a contractual requirement.\u003c\/p\u003e\n\u003cp\u003ePPK positioning achieves 0.5 cm position accuracy with pitch\/roll accuracy of 0.004° and heading accuracy of 0.02°. An integrated 24MP RGB mapping camera with a Sony E-Mount 16mm lens at 70° FOV adds simultaneous geotagged color capture, enabling colorized point cloud outputs and 3D model generation from a single deployable payload on the SkyScout Series.\u003c\/p\u003e\n\u003ch3\u003eRESEPI Lite M2X 24MP 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\u003eNDAA-compliant: secure component sourcing supports government and regulated enterprise programs.\u003c\/li\u003e\n\u003cli\u003eHesai XT-32 M2X LiDAR: stronger laser delivers up to 1,920,000 pulses per second triple-return.\u003c\/li\u003e\n\u003cli\u003eSuperior range accuracy: +\/- 1 cm across 32 laser channels with detection range up to 300m.\u003c\/li\u003e\n\u003cli\u003eFull 360° horizontal FOV: 40.3° vertical field of view supports varied terrain and canopy coverage.\u003c\/li\u003e\n\u003cli\u003eSystem vertical accuracy: 2 to 3 cm, tightening to 1.5 to 2.5 cm with 1-sigma noise removal.\u003c\/li\u003e\n\u003cli\u003eTriple return scanning: resolves multiple canopy layers and ground surfaces across complex terrain.\u003c\/li\u003e\n\u003cli\u003ePPK positioning: 0.5 cm position accuracy with 0.004° pitch\/roll and 0.02° heading accuracy.\u003c\/li\u003e\n\u003cli\u003e24MP RGB camera: Sony E-Mount 16mm lens at 70° FOV delivers geotagged simultaneous color capture.\u003c\/li\u003e\n\u003cli\u003eComplete software pipeline: field checks, pre-processing, and post-processing software 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 Lite M2X 24MP Camera with FPV Gimbal addresses the accuracy and canopy penetration requirements of enterprise aerial LiDAR programs on the SkyScout Series where standard configurations fall short. Its +\/- 1 cm range accuracy, 2 to 3 cm system vertical accuracy, triple-return Hesai XT-32 M2X, and real-time FPV visibility through the SkyScout SnapFit adapter make it the strongest accuracy-focused option in the RESEPI lineup for fleet programs running vegetation analysis, utility corridor mapping, construction volumetrics, and precision terrain survey where data quality and operational awareness are both non-negotiable.\u003c\/p\u003e\n\u003cp\u003eDronefly carries the RESEPI Lite M2X 24MP Camera with FPV Gimbal for the WISPR SkyScout Series, including the complete system with SkyScout SnapFit adapter, 256 GB USB storage, and full software pipeline. Order the RESEPI Lite M2X 24MP Camera with FPV Gimbal at Dronefly today.\u003c\/p\u003e","brand":"WISPR","offers":[{"title":"Default Title","offer_id":52629776204069,"sku":"S-WSP-RESEPI-LM2X","price":38750.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0884\/4908\/9829\/files\/InertialLabsRESEPILite-M2X24MPCamera_FPVGimbal.webp?v=1782441467","url":"https:\/\/www.dronefly.com\/products\/resepi-lite-m2x-24mp-camera-fpv-gimbal","provider":"DroneFly","version":"1.0","type":"link"}