Zenmuse L2 achieves an IP54 rating according to the IEC60529 standard under controlled laboratory conditions. To ensure the highest levels of protection:
• Before installing, make sure that the interface and surface of the gimbal are dry;
• Before use, make sure that the gimbal is firmly installed on the drone and the SD card protective cap is clean, free of foreign objects, and closed;
• Before opening the SD card protective cap, wipe the surface of the drone clean.

The protection level will decrease over time due to normal device use and wear.

Zenmuse L2 is compatible with the Matrice 350 RTK and Matrice 300 RTK and also supports DJI RC Plus as the remote controller. Before using, please upgrade the firmware of the aircraft and remote controller to the latest version. To ensure mapping accuracy, make sure the L2 is mounted on a single downward gimbal connector with the cable connected to the right USB-C port (when facing the aircraft).

Repetitive scanning: Horizontal 70°, Vertical 3°
Non-repetitive scanning: Horizontal 70°, Vertical 75°

Detection range:
250m @10% reflectivity, 100klx
450m @50% reflectivity, 0klx
The recommended operating altitude is 30-150 m.

Zenmuse L2 supports five types of returns: Single return (strongest echo), dual returns, triple returns, quad returns, and penta returns.

Single return: max. 240,000 pts/s
Multiple returns: max. 1,200,000 pts/s

Zenmuse L2 has two scanning modes: non-repetitive scanning mode and repetitive scanning mode
In repetitive scanning mode, LiDAR can achieve more uniform and accurate scanning, meeting high-precision mapping requirements.
In non-repetitive scanning mode, it offers stronger penetration, gathering more structural information, making it suitable for power line inspection, forestry surveying, and other scenarios.

Yaw Accuracy: Real-time: 0.2°, Post-processing: 0.05°
Pitch/Roll Accuracy: Real-time 0.05°, Post-processing 0.025°
Horizontal Positioning Accuracy: 1 cm + 1 ppm (RTK FIX)
Vertical Positioning Accuracy: 1.5 cm+1 ppm (RTK FIX)

The yaw and pitch/roll accuracies were measured under the following conditions in a DJI laboratory environment: Zenmuse L2 mounted on a Matrice 350 RTK and powered up. Using DJI Pilot 2’s Area Route to plan the flight route (with Calibrate IMU enabled). RTK in the FIX status. The relative altitude was set to 150 m, flight speed to 15 m/s, gimbal pitch to -90°, and each straight segment of the flight route was less than 1500 m.

When collecting point cloud data, the RGB camera can provide real-time color information for the data, and the photos taken can be used for reconstructing 2D RGB models. When there is no need to gather point cloud data, the RGB camera can take photos and videos, and collect images for reconstructing 2D or 3D RGB models

Horizontal accuracy: 5 cm
Vertical accuracy: 4 cm

Measured under the following conditions in a DJI laboratory environment: Zenmuse L2 mounted on a Matrice 350 RTK and powered up. Using DJI Pilot 2’s Area Route to plan the flight route (with Calibrate IMU enabled). Using repetitive scanning with the RTK in the FIX status. The relative altitude was set to 150 m, flight speed to 15 m/s, gimbal pitch to -90°, and each straight segment of the flight route was less than 1500 m. The field contained objects with obvious angular features, and used exposed hard ground check points that conformed to the diffuse reflection model. DJI Terra was used for post-processing with Optimize Point Cloud Accuracy enabled. Under the same conditions with Optimize Point Cloud Accuracy not enabled, the vertical accuracy is 4 cm and the horizontal accuracy is 8 cm.

The RGB camera uses a 4/3 CMOS, and the pixel size is 3.3 × 3.3 μm.

The performance of the LiDAR has improved to about 1/5 of L1’s spot size when the object or area is 100 m from the LiDAR. The LiDAR's penetration ability has been significantly increased, and both its detection range and accuracy have improved. The pixel size of the RGB camera has increased by 89% compared to L1's 2.4 × 2.4μm. The accuracy of the IMU has improved to 0.05° (real-time) and 0.025° (post-processing). The LiDAR supports Laser Rangefinder (RNG).