Multi-Time-of-Flight

Sensors

06.06.2019, 13:47

Multi-Time-of-Flight

The electronics developer and time-of-flight specialist Becom Systems has presented an embedded multi-ToF solution. The multi-ToF platform for several ToF sensors working in parallel with a central computing unit is based on the deep learning-capable Nvidia Jetson TX2 module with Nvidia Pascal GPU as well as dual-core Nvidia Denver 2 and quad-core ARM Cortex-A5 CPU.

The platform is suitable for applications in human-machine interaction at terminals, in collaborative robot interaction (cobots) as well as in the automotive sector and in obstacle detection for autonomous systems.

The platform makes it possible to integrate up to four different sensors and combine them in different constellations - such as 2D and 3D ToF sensors. In principle, any imaging sensor technology can be integrated. The platform therefore offers integrators, software providers and product developers a compact and flexible solution that is typically suitable for applications in human-machine interaction at terminals, in collaborative robot interaction (cobots), in the automotive sector and in obstacle detection for autonomous systems.

The use of four independent sensors is particularly important when a camera is obscured by an object or a person. In the field of mobile robotics, there are requirements for a time-of-flight system that can only be met to a limited extent with individual industrial cameras. On the one hand, the desire to keep everything in view - which ideally means aperture angles of 360 degrees - as well as the combination with other information, such as a sensor fusion of 3D data with color information or infrared images. These requirements can be met with the new Multi-ToF platform. Areas of application include obstacle detection, sensor fusion, people detection, driver monitoring and gesture control. pb

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