| DJI LiDAR Range Finder for DJI RS 3 Pro Make it easy to adjust focus even in low-light conditions. The LiDAR range finder can display up to 43,200 distance points and features a detection range of up to 14m. What's more, its performance is not dependent on the texture of the object's surface. It also has a built-in camera with a focal length equivalent of 30mm, whose field of view (FOV) reaches 70°. This means it will work perfectly in a variety of scenarios. When you combine it with the new DJI RS Focus Motor (2022), you gain the ability to use autofocus on manual lenses. In addition, with the LiDAR rangefinder, the DJI RS 3 Pro supports ActiveTrack Pro mode, which offers greater efficiency in identifying and tracking selected objects. In the box DJI LiDAR Range Finder x1 MCC cable (USB-C, 30cm) x1 LiDAR Control Cable (USB-C, 30cm) x1 Specification Brand DJI Name DJI LiDAR Range Finder Available ports Cold shoe, 1/4"-20 mounting hole, USB-C, USB-C Power/CVBS/CAN Data Resolution (image sensor) 448x298 on touchscreen Field of view (FOV) 57.4° (horizontal), 44.6° (vertical), 70.1° (diagonal) Focal length equivalent 30mm Resolution (ToF sensor) 240x180 Detection range of ToF sensor 0.5-14m Distance error (ToF sensor) 1% Machine learning Can recognize up to 5 objects simultaneously and select one of them to track. Identification range Up to 9m Power consumption 6.8W Input voltage 7-16V Operating temperature -20-45°C Dimensions 66x57x24mm (D x S x W) Weight About 130g Mounting plate height 30mm Lenses that do not require calibration DZOFILM Vespid Cyber 35/50/75mm Compatibility DJI RS 3 Pro table{border-spacing:0}.table-wrapper>table>tbody>tr>td,.table-wrapper>table>tbody>tr>th{padding:10px 35px;text-align:left}.table-wrapper>table>tbody>tr>th{vertical-align:top}.table-wrapper>table>tbody>tr:nth-child(even){background-color:#f7f7f7} --> table>tbody>tr>td,.table-wrapper>table>tbody>tr>th{padding:10px 35px;text-align:left}.table-wrapper>table>tbody>tr>th{vertical-align:top}.table-wrapper>table>tbody>tr:nth-child(even){background-color:#f7f7f7} --> tbody>tr>td,.table-wrapper>table>tbody>tr>th{padding:10px 35px;text-align:left}.table-wrapper>table>tbody>tr>th{vertical-align:top}.table-wrapper>table>tbody>tr:nth-child(even){background-color:#f7f7f7} --> tr>td,.table-wrapper>table>tbody>tr>th{padding:10px 35px;text-align:left}.table-wrapper>table>tbody>tr>th{vertical-align:top}.table-wrapper>table>tbody>tr:nth-child(even){background-color:#f7f7f7} --> td,.table-wrapper>table>tbody>tr>th{padding:10px 35px;text-align:left}.table-wrapper>table>tbody>tr>th{vertical-align:top}.table-wrapper>table>tbody>tr:nth-child(even){background-color:#f7f7f7} --> table>tbody>tr>th{padding:10px 35px;text-align:left}.table-wrapper>table>tbody>tr>th{vertical-align:top}.table-wrapper>table>tbody>tr:nth-child(even){background-color:#f7f7f7} --> tbody>tr>th{padding:10px 35px;text-align:left}.table-wrapper>table>tbody>tr>th{vertical-align:top}.table-wrapper>table>tbody>tr:nth-child(even){background-color:#f7f7f7} --> tr>th{padding:10px 35px;text-align:left}.table-wrapper>table>tbody>tr>th{vertical-align:top}.table-wrapper>table>tbody>tr:nth-child(even){background-color:#f7f7f7} --> th{padding:10px 35px;text-align:left}.table-wrapper>table>tbody>tr>th{vertical-align:top}.table-wrapper>table>tbody>tr:nth-child(even){background-color:#f7f7f7} --> table>tbody>tr>th{vertical-align:top}.table-wrapper>table>tbody>tr:nth-child(even){background-color:#f7f7f7} --> tbody>tr>th{vertical-align:top}.table-wrapper>table>tbody>tr:nth-child(even){background-color:#f7f7f7} --> tr>th{vertical-align:top}.table-wrapper>table>tbody>tr:nth-child(even){background-color:#f7f7f7} --> th{vertical-align:top}.table-wrapper>table>tbody>tr:nth-child(even){background-color:#f7f7f7} --> table>tbody>tr:nth-child(even){background-color:#f7f7f7} --> tbody>tr:nth-child(even){background-color:#f7f7f7} --> tr:nth-child(even){background-color:#f7f7f7} --> |