reVision Tag

To correctly perceive and safely interact with their environment, many embedded-vision systems such as vision-guided robots, autonomous cars and drones, rely either upon multiple image sensors of the same type or image sensors combined with a different sensing technology. These additional sensors enable extraction of information which cannot be obtained if just a single image sensor is used, for example determining the distance to an object. Combining and processing the data provided by multiple sensors is known as sensor fusion. When sensors of the same type are used, for exampleRead More
Sensing IoT Technology

Posted On July 12, 2017By EBV TeamIn Automotive, FPGA

Machine Learning for Embedded Vision

Edge based embedded vision systems often use machine learning techniques to embed intelligence within the solution. These solutions need to be not only capable of high performance but also power efficient, flexible and deterministic due to their use cases. To address these challenges, embedded vision developers utilise the Xilinx® All Programmable Zynq® SoC or Zynq® UltraScale+™ MPSoC devices and develop applications using the reVISION™ acceleration stack and SDSoC™ system optimising compiler. These devices provide programmable logic coupled with high performance ARM® A53 or A9 processors, forming a tightly-integrated heterogeneous processingRead More