DJI Zenmuse H20N
Night Vision
The DJI Zenmuse H20N integrates starlight sensors into its zoom and wide-angle cameras. When combined with dual zoom thermal cameras and a laser rangefinder, it results in a versatile hybrid payload that is suitable for varying needs.
Infrared Zoom
Dual Thermal Camera Resolution: 640×512 2x Zoom (Equivalent Focal Length: 53 mm) 8x Zoom (Equivalent Focal Length: 196 mm)
Night Vision Wide Camera
Starlight Sensor: 2MP Stronger Low Light Performance
Zoom
Night Vision Zoom Camera Starlight Sensor: 4MP 20× Optical Zoom, 128× Maximum Zoom Low Light Details
Precise Distance Data
Laser Rangefinder Range: 3 m – 1200 m Accuracy: ± (0.2 m + D×0.15%) 2
We offer thermal and starlight vision to enhance your operations. Specially designed starlight sensors, integrated with zoom and wide-angle cameras, provide visibility throughout the night.
Infrared Zoom: Two thermal cameras provide 2× and 8× zoom respectively, allowing for a total zoom of up to 32×. Detect hot spots and zoom in to examine details.
Synchronized Split Screen Zoom: The DJI Zenmuse H20N supports synchronized zoom between thermal and starlight night vision cameras. Users can scale both images at the same time. This feature increases efficiency and facilitates side-by-side comparison of details.
Thermal Features
Color Palettes: Apply color palettes to thermal data according to your mission requirements.
Isotherms: Visualize your targets by using isotherms to highlight a specific temperature range.
Temperature Alarm: Receive instant notifications in the DJI Pilot app when object temperatures exceed set warning values.
Gain Modes: Change the captured temperature range by adjusting gain modes: High Gain Mode covers a smaller temperature range but is more sensitive; Low Gain Mode covers a wider temperature range.
R-JPEG Images: Images captured by DJI Zenmuse H20N come with embedded temperature information in R-JPEG format. You can transfer these images to the DJI Thermal Analysis Tool to measure temperature and adjust parameters such as emissivity and reflected temperature.
DJI TERRA
DJI Terra is a 3D modeling software based on photogrammetry technology. It supports the accurate and efficient reconstruction of various data and visible light using DJI LiDAR. DJI Terra is an ideal option for DJI Enterprise drones and accessories. It seamlessly integrates to provide a complete application solution for various industries such as soil analysis, mapping, energy transmission, emergency services, construction, transportation, and agriculture.
Realistic 3D models can be created in three different resolutions (high, medium, and low) with DJI Terra. Water surfaces are automatically optimized using artificial intelligence technology, and models can be exported to widely used formats for a wide range of scenarios including terrain measurement and mapping, accident scenes, energy grid equipment, and construction projects. This makes processes like image reconstruction and progress monitoring easily achievable across various domains.
The algorithm is optimized for different scenarios to significantly increase processing efficiency, effectively prevent image distortion and deformation, and achieve detailed and accurate measurement results for your target objects and research areas.
LiDAR
With just a single click, DJI Terra facilitates the high-accuracy processing of point cloud data captured by Zenmuse LiDAR. These processes include route calculation, precise alignment of point cloud and visible light data, optimization of point cloud accuracy, ground point extraction, DEM generation, and task report output.
Multispektral
Multispectral data obtained from DJI Mavic 3 Multispectral and P4 Multispectral can be utilized to provide insights into plant growth and health, generating plant index maps such as NDVI and NDRE. Additionally, with support for radiometric correction, reflectance maps can be created for remote sensing studies. Using DJI’s Agras drones, prescription maps can be generated for variable rate applications, serving the purpose of increasing crop yield while reducing costs.
