24 Sep, 2018
SceneScan provides accurate 3D depth measurements even in challenging situations, such as in bright daylight, far-range measurements, multiple overlapping sensors, or even under water.
SceneScan relies on stereo vision and hardware-accelerated image processing to gain a 3D understanding of an observed area. Unlike conventional depth sensing methods, stereo vision is a passive technology that does not require the emittance of visible or invisible light. This is why SceneScan provides accurate 3D depth measurements even in challenging situations, such as in bright daylight, far-range measurements, multiple overlapping sensors, or even under water.
SceneScan connects to Karmin2 stereo camera, or to two conventional USB3 Vision industrial cameras. The camera images are processed in real-time using a powerful FPGA and our state-of-the-art stereo matching algorithm. The processing result is a sub-pixel accurate disparity map (an inverse depth map), which is streamed through gigabit ethernet to a connected computer or embedded system. Using our open-source and cross-platform API, this disparity map can be converted into a dense 3D point cloud. Through a built-in auto-re-calibration, long-term operability of the system is ensured, even if the cameras encounter mechanical stresses.
By choosing a suitable camera setup, very different measurement ranges can be covered. The user can further choose between a high frame rate, or a high image or depth resolution, with frame rates up to 100 fps and resolutions up to 3 megapixels being possible. This renders SceneScan the most flexible 3D depth sensing solution on the market. Nerian’s support staff will assist with choosing the optimal configuration for each customer project.
The FPGA design that drives SceneScan can also be licensed as an IP core.