Functional Description; Figure 2.1. Lattice Evdk With Microsd Card Adapter Board - Lattice EVDK User Manual

EVDK Based Vehicle Classification
User Guide

2. Functional Description

The EVDK Based Vehicle Classification Demo is designed to utilize the Lattice Embedded Vision Development Kit with
MicroSD Card Adapter Board, as shown in
CrossLink VIP
Input Bridge Board
Processor Board
HDMI VIP Output
Bridge Board
Camera Sensor CN2
Camera Sensor CN1

Figure 2.1. Lattice EVDK with MicroSD Card Adapter Board

The Lattice Embedded Vision Development Kit features a stackable modular architecture consisting of three boards:

CrossLink Video Interface Platform (VIP) Input Bridge Board

ECP5 VIP Processor Board

HDMI VIP Output Bridge Board
Figure 2.1 shows Revision C of the Embedded Vision Development Kit. For earlier revisions, refer to the user guide of
the specific evaluation board. For more information on the Embedded Vision Development Kit, visit the Lattice website
Embedded Vision Development Kit
The firmware, which holds the CNN training results (from Caffe tool) is stored inside the SD card. The MLE classifies
input images and generates a bounding box and class designation which is shown as an overlay on the output image.
As shown in Figure 2.2, the video data taken by the camera sensor (CN2) on the CrossLink VIP Input Bridge Board are
fed into the ECP5 VIP Processor Board where the MLE processes the image data. This data, with weights and biases
from the firmware, is used to create the bounding box and classification overlay.
The implementation of this demo in ECP5-85 consists of 8 Neural Network engines (NN) engines.
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All other brand or product names are trademarks or registered trademarks of their respective holders. The specifications and information herein are subject to change without notice.
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Figure 2.1.
ECP5 VIP
MicroSD Card
Adapter Board
page.
FPGA-UG-02073-1.0