Fast Sense Studio, a leading developer of mobile robotics solutions, today announced that its Fast Sense AI Edge Computer has been launched at the Embedded world 2021 DIGITAL.
Fast Sense AI Edge ComputerΒ is a powerful on-board computer bringing scalable Edge AI capabilities to mobile robotics.
It is a board-level circuit that integrates the power of six computers in a single module. Six independent AI inference engines (Intel GPU, 2x Myriad X, 3x Coral) operate in one compact device enabling the running of six different neural nets simultaneously without performance degradation, while receiving data from several sources in real time.
Fast Sense AI Edge ComputerΒ delivers massive artificial intelligence capabilities and has eight times more computational power compared to existing products in the market.
Thanks to six independent Edge AI engines, Fast Sense AI Edge Computer has sufficient hardware resources to run different AI algorithms and control a robot that needs to process data from different sensors like video cameras and react to changes in its environment in real-time.
TheΒ Fast Sense AI Edge ComputerΒ makes it possible to run a robot with three video cameras pointing in different directions where each video stream has to be processed with three different neural nets: object detection, semantic segmentation and depth estimation. It consists of a single board COM
Express module with Intel CPU, a set of edge AI accelerators to inference several neural nets on-board in real time and has numerous hardware interfaces to robotic sensors and actuators. The platform is shipped as a ready-to-use device with software examples of running ROS (Robot Operating System) algorithms with integrated neural nets meaningful for robotic applications, running in isolated Docker containers.
TheΒ Fast Sense AI Edge ComputerΒ can be integrated with multiple robotics platforms, e.g. drones and robots with wheels for a great number of use cases. This universal reasoning system can be applied across different classes of physical agents such as delivery robots, autonomous machines, facilities inspection, logistics robots (AGV) and disinfection drones.