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Tensorflow Object Detection Raspberry PI Tutorial on Windows Pc

Developed By: AbhishekAgraj

License: Free

Rating: 5,0/5 - 1 votes

Last Updated: December 26, 2023

Download on Windows PC

Compatible with Windows 10/11 PC & Laptop

App Details

Version 2.0
Size 1.3 MB
Release Date May 27, 18
Category Education Apps

App Permissions:
Allows applications to open network sockets. [see more (1)]

What's New:
Tutorial for implementing AI on Raspberry PI devices [see more]

Description from Developer:
An artificially intelligent deeplearning app for securing your home and surrounding. The deeplearning based tensorflow object detection app identifies humans/car/bikes through your... [read more]

App preview ([see all 5 screenshots])

App preview

About this app

On this page you can download Tensorflow Object Detection Raspberry PI Tutorial and install on Windows PC. Tensorflow Object Detection Raspberry PI Tutorial is free Education app, developed by AbhishekAgraj. Latest version of Tensorflow Object Detection Raspberry PI Tutorial is 2.0, was released on 2018-05-27 (updated on 2023-12-26). Estimated number of the downloads is more than 5. Overall rating of Tensorflow Object Detection Raspberry PI Tutorial is 5,0. Generally most of the top apps on Android Store have rating of 4+. This app had been rated by 1 users, 1 users had rated it 5*, 1 users had rated it 1*.

How to install Tensorflow Object Detection Raspberry PI Tutorial on Windows?

Instruction on how to install Tensorflow Object Detection Raspberry PI Tutorial on Windows 10 Windows 11 PC & Laptop

In this post, I am going to show you how to install Tensorflow Object Detection Raspberry PI Tutorial on Windows PC by using Android App Player such as BlueStacks, LDPlayer, Nox, KOPlayer, ...

Before you start, you will need to download the APK/XAPK installer file, you can find download button on top of this page. Save it to easy-to-find location.

[Note] You can also download older versions of this app on bottom of this page.

Below you will find a detailed step-by-step guide, but I want to give you a fast overview of how it works. All you need is an emulator that will emulate an Android device on your Windows PC and then you can install applications and use it - you see you're playing it on Android, but this runs not on a smartphone or tablet, it runs on a PC.

If this doesn't work on your PC, or you cannot install, comment here and we will help you!

Step By Step Guide To Install Tensorflow Object Detection Raspberry PI Tutorial using BlueStacks

  1. Download and Install BlueStacks at: https://www.bluestacks.com. The installation procedure is quite simple. After successful installation, open the Bluestacks emulator. It may take some time to load the Bluestacks app initially. Once it is opened, you should be able to see the Home screen of Bluestacks.
  2. Open the APK/XAPK file: Double-click the APK/XAPK file to launch BlueStacks and install the application. If your APK/XAPK file doesn't automatically open BlueStacks, right-click on it and select Open with... Browse to the BlueStacks. You can also drag-and-drop the APK/XAPK file onto the BlueStacks home screen
  3. Once installed, click "Tensorflow Object Detection Raspberry PI Tutorial" icon on the home screen to start using, it'll work like a charm :D

[Note 1] For better performance and compatibility, choose BlueStacks 5 Nougat 64-bit read more

[Note 2] about Bluetooth: At the moment, support for Bluetooth is not available on BlueStacks. Hence, apps that require control of Bluetooth may not work on BlueStacks.

How to install Tensorflow Object Detection Raspberry PI Tutorial on Windows PC using NoxPlayer

  1. Download & Install NoxPlayer at: https://www.bignox.com. The installation is easy to carry out.
  2. Drag the APK/XAPK file to the NoxPlayer interface and drop it to install
  3. The installation process will take place quickly. After successful installation, you can find "Tensorflow Object Detection Raspberry PI Tutorial" on the home screen of NoxPlayer, just click to open it.

Discussion

(*) is required

An artificially intelligent deeplearning app for securing your home and surrounding. The deeplearning based tensorflow object detection app identifies humans/car/bikes through your mobile camera lenses. The tensorflow object detection app limits itself by suppressing a few functionalities such as intimating the users, raising the alarms whenever the object of interest is detected. Being a demo its accuracy of prediction has been limited. Hence, prediction below 0.9 should be deemed as incorrect. A clean, perfect solution can be obtained from the authors upon request.

Consider a scenario wherein someone enters your home while you are away. The bad intent of the the intruder can be ruined by installing this security system which identifies the person and sends you an alert.

Few questionnaire:

a). Deep Learning - Deep learning is part of a broader family of machine learning methods based on learning data representations, as opposed to task-specific algorithms. (learn more on Wiki)

b). Object Detection - Making a machine learn to classify objects just like human do right from childhood. Involves a lot many things. (More link here)

c). Tensorflow - TensorFlow is an open-source software library from google which provides a platform to develop and deploy your own deep learning models on various devices.

Tensorflow Github Link - https://github.com/tensorflow/tensorflow/

This app github link - https://github.com/agabhishek/ArtificialIntelligenceHomeSecurity (for linux system only)
Tutorial for implementing AI on Raspberry PI devices
Allows applications to open network sockets.