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Arduino Object Detection Tracking on Windows Pc

Developed By: GemCode Studios

License: FREE

Rating: 4.4/5 - 17 votes

Last Updated: 2019-08-15

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App Details

Version 2.0
Size Vwd
Release Date Jan 8, 2019
Category Tools Apps

What's New:
Version 2 ... [see more]

Description:
This application is specifically designed for students and ... [read more]

Permissions:
View details [see more ]

QR-Code link:
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Trusted App:
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Compatible with Windows 7/8/10 Pc & Laptop

Download on PC

Compatible with Android

Download on Android

See older versions

App preview ([see all 5 screenshots])

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Looking for a way to Download Arduino Object Detection Tracking for Windows 10/8/7 PC? You are in the correct place then. Keep reading this article to get to know how you can Download and Install one of the best Tools App Arduino Object Detection Tracking for PC.

Most of the apps available on Google play store or iOS Appstore are made exclusively for mobile platforms. But do you know you can still use any of your favorite Android or iOS apps on your laptop even if the official version for PC platform not available? Yes, they do exits a few simple tricks you can use to install Android apps on Windows machine and use them as you use on Android smartphones.

Here in this article, we will list down different ways to Download Arduino Object Detection Tracking on PC in a step by step guide. So before jumping into it, let’s see the technical specifications of Arduino Object Detection Tracking.

Arduino Object Detection Tracking for PC – Technical Specifications

NameArduino Object Detection Tracking
Installations10,000+
Developed ByGemCode Studios

Arduino Object Detection Tracking is on the top of the list of Tools category apps on Google Playstore. It has got really good rating points and reviews. Currently, Arduino Object Detection Tracking for Windows has got over 10,000+ App installations and 4.4 star average user aggregate rating points.

Arduino Object Detection Tracking Download for PC Windows 10/8/7 Laptop:

Most of the apps these days are developed only for the mobile platform. Games and apps like PUBG, Subway surfers, Snapseed, Beauty Plus, etc. are available for Android and iOS platforms only. But Android emulators allow us to use all these apps on PC as well.

So even if the official version of Arduino Object Detection Tracking for PC not available, you can still use it with the help of Emulators. Here in this article, we are gonna present to you two of the popular Android emulators to use Arduino Object Detection Tracking on PC.

Arduino Object Detection Tracking Download for PC Windows 10/8/7 – Method 1:

Bluestacks is one of the coolest and widely used Emulator to run Android applications on your Windows PC. Bluestacks software is even available for Mac OS as well. We are going to use Bluestacks in this method to Download and Install Arduino Object Detection Tracking for PC Windows 10/8/7 Laptop. Let’s start our step by step installation guide.

  • Step 1: Download the Bluestacks 5 software from the below link, if you haven’t installed it earlier – Download Bluestacks for PC
  • Step 2: Installation procedure is quite simple and straight-forward. After successful installation, open Bluestacks emulator.
  • Step 3: 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.
  • Step 4: Google play store comes pre-installed in Bluestacks. On the home screen, find Playstore and double click on the icon to open it.
  • Step 5: Now search for the App you want to install on your PC. In our case search for Arduino Object Detection Tracking to install on PC.
  • Step 6: Once you click on the Install button, Arduino Object Detection Tracking will be installed automatically on Bluestacks. You can find the App under list of installed apps in Bluestacks.

Now you can just double click on the App icon in bluestacks and start using Arduino Object Detection Tracking App on your laptop. You can use the App the same way you use it on your Android or iOS smartphones.

If you have an APK file, then there is an option in Bluestacks to Import APK file. You don’t need to go to Google Playstore and install the game. However, using the standard method to Install any android applications is recommended.

The latest version of Bluestacks comes with a lot of stunning features. Bluestacks4 is literally 6X faster than the Samsung Galaxy J7 smartphone. So using Bluestacks is the recommended way to install Arduino Object Detection Tracking on PC. You need to have a minimum configuration PC to use Bluestacks. Otherwise, you may face loading issues while playing high-end games like PUBG

Arduino Object Detection Tracking Download for PC Windows 10/8/7 – Method 2:

Yet another popular Android emulator which is gaining a lot of attention in recent times is MEmu play. It is super flexible, fast and exclusively designed for gaming purposes. Now we will see how to Download Arduino Object Detection Tracking for PC Windows 10 or 8 or 7 laptop using MemuPlay.

  • Step 1: Download and Install MemuPlay on your PC. Here is the Download link for you – Memu Play Website. Open the official website and download the software.
  • Step 2: Once the emulator is installed, just open it and find Google Playstore App icon on the home screen of Memuplay. Just double tap on that to open.
  • Step 3: Now search for Arduino Object Detection Tracking App on Google playstore. Find the official App from GemCode Studios developer and click on the Install button.
  • Step 4: Upon successful installation, you can find Arduino Object Detection Tracking on the home screen of MEmu Play.

MemuPlay is simple and easy to use application. It is very lightweight compared to Bluestacks. As it is designed for Gaming purposes, you can play high-end games like PUBG, Mini Militia, Temple Run, etc.

Arduino Object Detection Tracking for PC – Conclusion:

Arduino Object Detection Tracking has got enormous popularity with it’s simple yet effective interface. We have listed down two of the best methods to Install Arduino Object Detection Tracking on PC Windows laptop. Both the mentioned emulators are popular to use Apps on PC. You can follow any of these methods to get Arduino Object Detection Tracking for Windows 10 PC.

We are concluding this article on Arduino Object Detection Tracking Download for PC with this. If you have any queries or facing any issues while installing Emulators or Arduino Object Detection Tracking for Windows, do let us know through comments. We will be glad to help you out!

We are always ready to guide you to run Arduino Object Detection Tracking on your pc, if you encounter an error, please enter the information below to send notifications and wait for the earliest response from us.

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Version 2 Release Notes:
1. Automatic save on all user settings including colour blob selection.
2. Automatic Bluetooth re-connection.
3. Select custom Tensorflow tflite models.
4. Removed rectangle detection.

Any issues related to storage permissions please ensure this is enabled in app permission settings in Android.
Tensorflow models should be renamed as "custom.tfilte" and "custom.txt" and placed in internal storage document folder.
Showing permissions for all versions of this app

    This app has access to:

  • Camera
  • take pictures and videos.
  • Storage
  • modify or delete the contents of your USB storage.
    read the contents of your USB storage.
  • Photos/Media/Files
  • modify or delete the contents of your USB storage.
    read the contents of your USB storage.
  • Other
  • access Bluetooth settings.
    pair with Bluetooth devices.
Safe to Download

Napkforpc.com and the download link of this app are 100% safe. All download links of apps listed on Napkforpc.com are from Google Play Store or submitted by users. For the app from Google Play Store, Napkforpc.com won't modify it in any way. For the app submitted by users, Napkforpc.com will verify its APK signature safety before release it on our website.

This application is specifically designed for students and electronics engineers and hobbyist working with Arduino and Raspberry Pi micro controllers. It uses OpenCV libararies for computer vision detection and classification including Google Tensorflow Lite machine learning.

The application can detect and track various types of objects from your phones camera such as lines, colour blobs, circles, rectangles and people. Detected object types and screen positions can then be sent to a Bluetooth receiver device such as HC-05.

If using an appropriate micro-controller e.g. Arduino or Raspberry Pi users can analyse the detected objects for further robotics based projects. A typical example could be to attach a phone to a 2 or 4W robot kit which can then track/follow a ball or person.

Key Application Features:
1. Colour Blob Detect and Track
2. Circle Detect and Track
3. Line Detect
4. People Detect and Track Using Histogram of Gradients (HoG)
5. Detection of TensorFlow Lite Coco Label Objects (E.g. Persons, Cats, Cars, TV, etc)
6. Use custom Tensorflow models.
7. Send detected object parameters over Bluetooth.

Note that all image processing operations work best in good lighting conditions. If you are unable to detect objects please try changing some of the configuration settings. Also note that the tracking algorithms implemented are simplistic and hence will not work reliably when multiple objects overlap each other.

To use custom Tensorflow models, load a compatible mobilenet tfile model. An example for this is the pet_detect.tflite, and pet_labels.txt. However you need to rename these to custom.tflite and custom.txt and place them in your phones internal storage public document folder. Also please ensure you enable android app permission for storage access.

Bluetooth Data Transmit Formats:

All data communication is sent as ASCII text in the following format:

"Object Type":"ID":"XPos","YPos","Width","Height"

Example Colour Blob Object: "CO:0:-40,60,0,0"
Where ID is a number between 0 and 4 with no tracking, or any unique integer tracked ID number with tracking option.
The x and y positions relate to the centre of the colour blob with 0,0 being at the centre of the camera preview screen.

Example Circle Object No Tracking: "CC:0:-40,60,20,0"
Where x,y positions give centre of circle, and width gives radius of circle.
In tracking mode the x,y,w,h provide the inside rectangle of the circle.

Example Circle Object with Filter On Colour: "FC:0:-40,60,20,0"
Where x,y positions give centre of circle, and width gives radius of circle.

Example Line Object: "LO:0:-40,60,20,200"
Where x,y positions gives first line point, and w,h givds second line point.

Example People Object No Tracking: "PO:0:-40,60,20,0"
Where x,y positions gives top left of rectangle, and w, h gives width and height.

Example People Object with Filter On Colour: "FP:0:-40,60,20,0"
Where x,y positions gives top left of rectangle, and w, h gives width and height of rectangle.

All tracked objects: "TO:0:-40,60,20,40".
where x,y positions gives centre of rectangle, and w, h gives width and height from centre of rectangle. Note that if filtering on circle and people, tracked object ids will reset to zero for overlapped colour objects.

TensorFlow Objects: "ObjectTitle:0:-40,60,20,40"
Where ObjectTitle is any classified TensorFlow object e.g. "Person", "Cup", "Bottle" etc.. X,Y positions gives centre of rectangle, and w, h gives width and height from centre of rect. Note that if filtering on colour blob intersection ensure that colour blob tracking is enabled.

Format for Filter on TensorFlow: "FTF:Person:-40,60,20,40". Where "Person" can be any of the available detected TensorFlow object types defined within the coco_labels_list.txt (See Google TensorFlowLite).

Full online help at Git Hub:/
https://github.com/GemcodeStudios/ObjectDetectionTracking

Copyright Gemcode Studios 2019