How Industrial 3D Cameras Meet the Challenges of Field of View

2021-09-15

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Generally, 3D cameras are formulated for specific scenes and fields of view, but in actual scenes, they will inevitably encounter some application challenges. For example, when some robots do not stop working, and when different working distances have an impact on point spacing and point cloud quality, 3D cameras are usually combined with cameras. Sliding modules or frame switching devices address vision challenges.

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For example, in actual projects, in order to ensure continuous production, the robot is usually required to work without stopping to minimize the waiting time for downtime. Like the double-station feeding or cutting of the scene, the camera is moved by the camera moving module to move the camera or the material frame switching device to move the material frame, or the robot track slot to move the robot position.
Within the effective working range of the 3D camera, the near-end field of view is small, the point spacing is small, the signal-to-noise ratio is high, and the point cloud quality is good; the far-end field of view is large, the point spacing is large, the signal-to-noise ratio is low, and the point cloud quality is poor. For large items that do not require very high accuracy, you can directly select to cover the entire field of view. However, for thin-walled parts, special attention should be paid to the point spacing and the anti-ambient light interference at long distances.
In the scene where the workpiece wall is thin, it is not suitable to use a camera with a large field of view and a large depth of field for fixed installation. Usually, the 3D camera is installed on a vertical module. By moving up and down, the current workpiece is always at the near end of the 3D camera to ensure reliability and stability. In this case, the software generally needs to support multi-region hand-eye calibration.