Binocular Depth Camera IMU Standard Version Optional IR Active Light Detector

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Description<br>Binocular Depth Camera IMU Standard Version Optional IR Active Light Detector<br>Version Comparison:<br>Standard Version S1040-IR-120/Mono<br>* Binocular frame sync lens: With<br>* IR active light detector: With<br>* Inertial Navigation Sensor: With<br>Standard Starter Version S1040-120/Mono<br>* Binocular frame sync lens: With<br>* IR active light detector: None<br>* Inertial Navigation Sensor: With<br>Features:<br>- Terminal applications with sufficient main chip computing power, application scenarios recommended<br>- Vision + structured light + inertial navigation fusion binocular camera solution. Multi-scheme fusion (multiple optional combinations)<br>- Provide real-time depth output based on CUDA acceleration<br>- Provide data correction for SLAM algorithm. IMU six-axis sensor<br>- SDK provides rich examples of binocular SLAM open source algorithms. Essential for binocular SLAM research<br>- Identify indoor white walls, even in complete darkness. IR infrared active light (Only for S1040-IR-120/Mono)<br>- Provide indoor and outdoor sensitivity adaptation and adjustment. Automatic white balance - Hardware-level binocular frame synchronization<br>- Reduce image distortion when shooting at high speeds. Global shutter<br>- SDK adapts to multiple platforms and provides rich tools. Multi-platform SDK<br>- Rugged and durable, using standard 1/4" screw interface. Aluminum alloy shell<br>- Complete technical support and technical exchange group. Localized technical support<br>Specifications:<br>- Model: Standard Version (S1040-IR-120/Mono)<br>- Size: 165x31.5x31.23mm<br>- Frame rate: 10/15/20/25/30/35/40/45/50/55/60FPS<br>- Resolution: 752*480; 376*240<br>- Depth Resolution: Based on CPU/GPU Up to 752x480 at 60FPS<br>- Pixel size: 6.0 x 6.0μm<br>- Baseline: 120.0 mm<br>- Viewing angle: D: 146° H: 122° V: 76°<br>- Focal length: 2.1mm<br>- Filter: Dual Pass Filter<br>- Support IR: YES<br>- IR detectable distance: Up to 3m<br>- Color mode: Monochrome<br>- Depth working distance: 0.8-5m+<br>- Exposure method: Global Shutter<br>- Power consumption: 1~2.7W at 5V DC from USB<br>- IMU frequency: 100/200/250/333/500Hz<br>- Synchronization accuracy: <1ms (up to 0.05ms)<br>- Output data format: Raw data<br>- Interface: USB3.0<br>- Product weight: 204g<br>- UVC mode: YES<br>Software:<br>- Support operating system: For Windows 10, Ubuntu 14.04/16.04/18.04, ROS indigo/kinetic/melodic<br>- SDK address:LINK, Please contact us for it,thanks~<br>- Developer Support: SDK<br>- Open source project support: For ORB_SLAM2, OKVIS, Vins-Mono, Vins-Fusion, VIORB<br>Environment:<br>- Operating temperature: -10°C to 50°C<br>- Storage temperature: -20°C to 60°C<br>- Humidity: 10% to 90% non-condensing<br>Precision:<br>- Depth measurement accuracy: the error does not exceed 4%<br>Package Included:<br>- 1 x Set of Depth Camera<br>If you want to obtain a better depth effect during regular use of binocular depth cameras, you need to pay attention to the following interference factors:<br>1. When the camera's working scene is illuminated by other strong light sources including infrared bands, it will interfere with the infrared light emitted by the camera's own infrared optical components, resulting in depth calculation errors. For example, under external environmental conditions, the sunlight in each wavelength band is relatively strong, which will pollute the optical pattern information emitted by the camera itself and affect the measurement results. Or under the condition that the interference light source is relatively strong, the working distance of the infrared optical components will become shorter.<br>2. If the surface of the object to be measured absorbs light severely, for example, an object with a black outer surface will absorb the pattern of enhanced texture emitted by infrared optical components, resulting in insufficient light received by the camera's optical sensor and unclear imaging, which will affect the measurement result.<br>3. If the surface of the object to be measured is highly reflective, it