NUesc | IoT based environmental sound classification application
kandi X-RAY | NUesc Summary
kandi X-RAY | NUesc Summary
NUesc is IoT based environmental sound classification system for smart cities. The machine learning inference is deployed on Raspberry Pi to detect the events such as dog bark, car horn, gun shot and so on. The Raspberry Pi talks to the cloud server when the event is detected. The web application is used to manage the sounds for Raspberry Pi to listen to. This is the final year project of Software Engineering from University of Newcastle, Australia. This project is currently in prototype version.
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NUesc Key Features
NUesc Examples and Code Snippets
Community Discussions
Trending Discussions on Internet of Things (IoT)
QUESTION
I have js files Dashboard and Adverts. I managed to get Dashboard to list the information in one json file (advertisers), but when clicking on an advertiser I want it to navigate to a separate page that will display some data (Say title and text) from the second json file (productadverts). I can't get it to work. Below is the code for the Dashboard and next for Adverts. Then the json files
...ANSWER
Answered 2020-May-17 at 23:55The new object to get params in React Navigation 5 is:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install NUesc
You can use NUesc like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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