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High-speed, high-precision 3D cameras for a wide range of industrial tasks, from detailed inspection to flexible robotics. Open source URL: https://open3dv.org/
XEMA
XEMA-P
XEMA-LCW-1902
XEMA-DCW-1601
With proprietary high-precision 3D imaging and HDR algorithms, it achieves up to 50μm Z-axis accuracy, ideal for demanding inspection tasks.
Features an onboard NVIDIA Jetson Nano core for internal computation and control, providing point cloud analysis at the edge.
IP65-rated for dust and water resistance and operates in a wide temperature range (-10°C to 50°C), certified for harsh industrial environments.
With proprietary high-precision 3D imaging and HDR algorithms, it achieves up to 50μm Z-axis accuracy, ideal for demanding inspection tasks.
Features an onboard NVIDIA Jetson Nano core for internal computation and control, providing point cloud analysis at the edge.
IP65-rated for dust and water resistance and operates in a wide temperature range (-10°C to 50°C), certified for harsh industrial environments.
With proprietary high-precision 3D imaging and HDR algorithms, it achieves up to 50μm Z-axis accuracy, ideal for demanding inspection tasks.
Features an onboard NVIDIA Jetson Nano core for internal computation and control, providing point cloud analysis at the edge.
IP65-rated for dust and water resistance and operates in a wide temperature range (-10°C to 50°C), certified for harsh industrial environments.
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| Model | XEMA-P | XEMA-DCW-1601 | XEMA-LCW-1902 | |
Technical Parameters | Near FOV (mm) | 56×39 | 287×171 | 965×569 |
| Far FOV (mm) | 88×61 | 523×286 | 2462×1453 | |
Recommended Working Distance (mm) | 100-150 | 300-500 | 1000-2500 | |
Z-axis Accuracy | 6μm@0.1m | 0.03mm@0.4m | 0.50mm@2.5m | |
Z-axis Repeatability (μm) | 1@0.10-0.15m | 21@0.3-0.5m | 80@1.0-2.5m | |
| Pixel Pitch | 22μm@0.10m 33μm@0.15m | 0.16mm@03m 0.27mm@0.5m | 0.55mm@1.0m 1.37mm@2.5m | |
Typical Acquisition Time | 1.0-2.0 | 0.5-1.5 | 0.5-1.5 | |
| Output Data | Point Cloud, Depth Map Grayscale Image | Point Cloud, Depth Map Grayscale Image | Point Cloud, Depth Map Grayscale Image | |
| Operating System | Windows、Linux (Ubuntu20.04) | Windows、Linux (Ubuntu20.04) | Windows、Linux (Ubuntu20.04) | |
| SDK API | C/C++/C#/python | C/C++/C#/python | C/C++/C#/python | |
Hardware Parameters | Field Angle (H/V) | 35°/26° | 58°/33° | 50°/33° |
| Dimensions (mm) | 126×146×61 | 119X127×58 | 433×133×45 | |
| Weight (Kg) | 1.10 | 0.80 | 1.80 | |
| Baseline (mm) | 70 | 80 | 350 | |
| Resolution (px) | 2448×2048 | 1920×1200 | 1920×1200 | |
| Interface Type | Gigabit Ethernet | Gigabit Ethernet | Gigabit Ethernet | |
| Computing Unit | NVIDIA Jetson nano | NVIDIA Jetson nano | NVIDIA Jetson nano | |
Rated Voltage | DC 24V 3.2A | DC 24V 3.2A | DC 24V 3.2A | |
Operating Temperatur | -20~50°C | -20~40°C | -20~40°C | |
| Certification | CE/FCC/RoHS | CE/FCC/RoHS/KC | CE/FCC/RoHS/KC | |
| IP Rating | IP6X | IP65 | IP65 | |
| SDK API | C/C++/C#/python/HALCON | C/C++/C#/python/HALCON | C/C++/C#/python/HALCON | |
| Remark | Only the Xema-P is available for standalone hardware purchase | |||