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Miaz - Object Recognition on Windows Pc

Developed By: Roland SZABO

License: Free

Rating: 5,0/5 - 1 votes

Last Updated: February 20, 2025

Download on Windows PC

Compatible with Windows 10/11 PC & Laptop

App Details

Version 5.5
Size 3.1 MB
Release Date November 02, 24
Category Productivity Apps

App Permissions:
Allows applications to access information about networks. [see more (7)]

What's New:
v5.5 - Bug fix. [see more]

Description from Developer:
The app can make object recognition just based on the taken picture by the camera from the device. This can be useful for children, blind people or if you have an object and you re... [read more]

App preview ([see all 5 screenshots]  /  [view video])

App preview

About this app

On this page you can download Miaz - Object Recognition and install on Windows PC. Miaz - Object Recognition is free Productivity app, developed by Roland SZABO. Latest version of Miaz - Object Recognition is 5.5, was released on 2024-11-02 (updated on 2025-02-20). Estimated number of the downloads is more than 1,000. Overall rating of Miaz - Object Recognition 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 Miaz - Object Recognition on Windows?

Instruction on how to install Miaz - Object Recognition on Windows 10 Windows 11 PC & Laptop

In this post, I am going to show you how to install Miaz - Object Recognition 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 Miaz - Object Recognition 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 "Miaz - Object Recognition" 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 Miaz - Object Recognition 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 "Miaz - Object Recognition" on the home screen of NoxPlayer, just click to open it.

Discussion

(*) is required

The app can make object recognition just based on the taken picture by the camera from the device. This can be useful for children, blind people or if you have an object and you really don't know what it is. For blind people the tool has vocal assist too (text-to-speech), this can be activated or deactivated from the menu.

The objects where the recognition had successful result are logged in a list. This way the app can be used to scan items in a supermarket like bar code scanner apps, but it's much easier, because the user needs to take a photo of the product, not to search for its bar code and can be logged items without bar code (like fruits or vegetables).

The object recognition engine does not always work or sometimes makes recognition errors, many times due to the poor quality of the image. Try to focus the image by tapping on the photo area to create good quality images. Focus can be done easily if the phone is moved gradually closer to the object. Sometimes it helps if the object is viewed from close position and there are not too many objects in the background. Sometimes the recognition works better if the flashlight is used. You can always retry to recognize the object, there is a 3 second delay between taking photos, to prevent button spamming.

In order to make the app functional it is needed an internet connection (Mobile or WiFi).

To make the text-to-speech work on your phone, read the tutorial from the http://www.androidauthority.com/google-text-to-speech-engine-659528/ link, and set up Google Text-to-speech Engine with English (United States) language.

The app does collect user data, all the data is saved on the mobile device (taken pictures, and recognized object list), however the taken picture is uploaded on server to make object recognition, but it is deleted immediately after.

To reveal hidden menu long press on any list item.
v5.5 - Bug fix.
Allows applications to access information about networks.
Allows applications to open network sockets.
Required to be able to access the camera device.
Allows an application to receive the ACTION_BOOT_COMPLETED that is broadcast after the system finishes booting.
Allows using PowerManager WakeLocks to keep processor from sleeping or screen from dimming.
Allows an application to write to external storage.
Allows an application to read from external storage.