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.
Demo design is provided with end-to-end components to allow for modification of the object being detected.
Video Streaming Analysis in Avant-E platform – Able to see detection boxes. The Green boxes detect vehicles whereas Blue detect Person.
CertusPro-NX MobileNet Object Classification – Implements generic object classification base design using the CertusPro™-NX platform.
Features
- CertusPro-NX MobileNet Object Classification:
- Accelerated, low-power object classification demonstration
- Wide range of applications including defect detection and robot navigation
- Processing at up to 33 FPS and 224x224 resolution
- Based on Mobilenet v1 network
- Total power consumption of CertusPro-NX FPGA is less than 400 mW
- Video Streaming Analysis in Avant-E platform:
- Accelerated, low-power Object classification and detection demonstration
- Processing at up to 130 FPS and with input resolution to model at 288x480
- Based on Mobilenet v1 network
