Object Classification Demonstration

CNN accelerated object classification using Low Power Lattice FPGAs

Wide Range of Applications – Object classification and tracking applications are used across markets. This demonstration provides a sample application for detecting, classifying, and tracking multiple objects running on a low power, general purpose Lattice CertusPro-NX FPGA

Highly Customizable – A reference design is provided with end-to-end components to allow for modification of the object being detected.


  • Accelerated, low-power object classification demonstration
  • Based on Mobilenet v1 network
  • Wide range of applications including defect detection and robot navigation
  • Reference designs are provided to enable design replication and transfer learning
  • Total power consumption of CertusPro-NX FPGA is less than 400 mW
  • Processing at up to 33 FPS and 224x224 resolution
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