Back to List

Quick answer

License Plate Recognition with Vitis-AI is an open source FPGA project from Hackster.io, indexed by ZouIC. Vitis-AI provides a zoo of pre-built models. This project describes how to leverage these models to implement license plate recognition.

Source
Hackster.io
Focus
FPGA
Author
Mario Bergeron
Published
2021-03-15

Common questions

What does License Plate Recognition with Vitis-AI do?

Vitis-AI provides a zoo of pre-built models. This project describes how to leverage these models to implement license plate recognition.

Where does License Plate Recognition with Vitis-AI come from?

ZouIC indexes it from Hackster.io, original page at https://www.hackster.io/AlbertaBeef/license-plate-recognition-with-vitis-ai-f0d810.

What stack does License Plate Recognition with Vitis-AI use?

tags AMD Xilinx, tutorial, intermediate.

When was License Plate Recognition with Vitis-AI published?

The source page lists 2021-03-15.

License Plate Recognition with Vitis-AI
Hackster.io All from this source License per the original page fpga

Indexed by ZouIC from the source platform public page, for developer reference only. Copyright and licensing stay with the author; get code and files from the original platform.

License Plate Recognition with Vitis-AI

Published 2021-03-15

Vitis-AI provides a zoo of pre-built models. This project describes how to leverage these models to implement license plate recognition.

Technical Specifications

Source platform
Hackster.io
Listing note
Metadata fetched from the public platform page; copyright belongs to the original author.
Difficulty
intermediate
content type
tutorial

Related resources and purchase links

Statistics

respects
37
views
6882

Project Info

Source PlatformHackster.io
Categoryfpga
LicenseLicense per the original page
Views6882
Likes37
Discussions0

Author Info

Mario Bergeron
View Profile

Citation Note

This content is sourced from Hackster.io Platform,All rights reserved by the original author. This platform only provides indexing and summaries. For detailed content, please visit the original link.

License per the original page
Created by GeekWaedon @GeekWaedon
Hardware maker and AI practitioner. This entire website was built hands-on with AI tools.
Join my Knowledge PlanetWeChat: search "GeekWaedon"