With high reconfigurability of hardware and software, Phenix Pro is able to meet the challenges from multiple scenarios, small batches, advanced customization and rapid changes in demand. The flight platform supports 20+ I/Os including on-board sensors, mmWave radar, LiDAR, thermal camera, ultra vision HD video transceiver, binocular camera, etc.
Phenix Pro features the first hardware architecture and excellent flight control algorithms based on SoC (ARM+FPGA). ARM dual-core processor provides real-time automatic control and human-computer interaction performance. FPGA not only accelerates computer vision, convolutional neural network and other algorithms, but also reduces power consumption.
Based on Xilinx Zynq SoC, Phenix Pro makes UAV as “flying robot”. Dual core ARM+FPGA allow advanced AI algorithms running on board, leading to 100x higher performance than GPU. Phenix Pro supports intelligent environment sensing, obstacle avoidance and autopilot.
The basic idea of the Phenix Pro is to use System on Chip with three processors: two ARMs and FPGA. While ARMs deals with flight controlling, task scheduling, hardware communications and data fusion loop, FPGA is reserved for user’s free development. With the benefits of Matlab Simulink, the widely used modelling software, DevKit offers simulink toolkit to include several predefined flight controlling models. By using advanced compilers, e.g. embedded coder and HDL coder (XiLinx), the model can be automatically translated into C/C++ and VHDL code or binary code that are directly implemented on hardware processors.
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“RobSense is running an online community for global developers and researchers, to brainstorm more exciting technologies based on UAVs. Our research team has deep collaborations with top institutes and labs worldwide doing research including computer vision, deep learning, software defined radio, 5G and control theory.”