Home  /  Entertainment Apps  / Realtime Blue Object Detector
Realtime Blue Object Detector Application icon

Realtime Blue Object Detector 1.0

31.3 MB / 1+ Downloads / Rating 3.9 - 7 reviews


See previous versions

Realtime Blue Object Detector, developed and published by Namas Bhandari, has released its latest version, 1.0, on 2018-08-11. This app falls under the Entertainment category on the Google Play Store and has achieved over 100 installs. It currently holds an overall rating of 3.9, based on 7 reviews.

Realtime Blue Object Detector APK available on this page is compatible with all Android devices that meet the required specifications (Android 5.0+). It can also be installed on PC and Mac using an Android emulator such as Bluestacks, LDPlayer, and others.

Read More

App Screenshot

App Screenshot

App Details

Package name: com.bluerealtimedetector.realtimedetect.realtimeblueobjdetector

Updated: 7 years ago

Developer Name: Namas Bhandari

Category: Entertainment

New features: Show more

App Permissions: Show more

Installation Instructions

This article outlines two straightforward methods for installing Realtime Blue Object Detector on PC Windows and Mac.

Using BlueStacks

  1. Download the APK/XAPK file from this page.
  2. Install BlueStacks by visiting http://bluestacks.com.
  3. Open the APK/XAPK file by double-clicking it. This action will launch BlueStacks and begin the application's installation. If the APK file does not automatically open with BlueStacks, right-click on it and select 'Open with...', then navigate to BlueStacks. Alternatively, you can drag-and-drop the APK file onto the BlueStacks home screen.
  4. Wait a few seconds for the installation to complete. Once done, the installed app will appear on the BlueStacks home screen. Click its icon to start using the application.

Using LDPlayer

  1. Download and install LDPlayer from https://www.ldplayer.net.
  2. Drag the APK/XAPK file directly into LDPlayer.

If you have any questions, please don't hesitate to contact us.

App Rating

3.9
Total 7 reviews

Reviews

5 ★, on 2019-02-15
way faster than deep learning based object detection. Nice way of showing sometimes traditional cv algorithms will get the job done better on mobile depending on what you are trying to do. Lighting fast vs tensorflow object detection

5 ★, on 2018-10-08
Awesome

Previous Versions

Realtime Blue Object Detector 1.0
2018-08-11 / 31.3 MB / Android 5.0+

About this app

Realtime Blue Object Detector - Using different algorithms for noise reduction and edge detection, this application detects and traces objects having HSV of different shades of blue between 2 predefined thresholds in realtime.

Simply point your camera at blue objects or at your surroundings and reveal the objects having shades of blue as the application draws a rectangle and labels it with text so that the object can be tracked even if you move the camera. Make sure that you are close enough to the object as it detects objects only having a size greater than the default size set in the application.

NOTE : As this application is based on the amount of light as it measures HSV( Hue Saturation Value), the performance of this Application may vary in dark areas or places with bad lighting and might result in bad detection of objects that may not even exist.
Hence, make sure there is appropriate light falling on the object and the distance from it is not too much.

ALSO : These applications are not professional applications in any manner and are just designed for research purposes or fun.

ALSO 2 : This application won't detect your Monday "Blues".

Designed using OpenCV SDK Version 3.4.1.

New features

- Added Runtime Camera Permission - User will be asked for the permission as soon as the application is started.

- Automated Realtime Recognition of objects - Does not require any button to be pressed or any image to be selected.

- Removed some non-essential native library files making the size of the application reduce significantly ( 100MB--> ~32MB).

- Optimised performance and fixed some crashes that occurred during application Initialisation.

App Permissions

Required to be able to access the camera device.