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IoT (WiFi | BT) Face Eye Tracking / Recognition on Windows Pc

Developed By: Vicente Arturo Zavala Ortiz

License: Free

Rating: 5,0/5 - 1 votes

Last Updated: April 21, 2024

Download on Windows PC

Compatible with Windows 10/11 PC & Laptop

App Details

Version 8.0.1
Size 81.1 MB
Release Date July 14, 24
Category Tools Apps

App Permissions:
Required to be able to access the camera device. [see more (7)]

What's New:
Track the position of the face eyes and recognize faces, sends data to device, position of face and "face color" when recognizes.Works with same WiFi... [see more]

Description from Developer:
The advancement and development of high resolution per frame cameras in recent years motivate both engineers and students in the research and creation of applications based on &quo... [read more]

App preview ([see all 23 screenshots]  /  [view video])

App preview

About this app

On this page you can download IoT (WiFi | BT) Face Eye Tracking / Recognition and install on Windows PC. IoT (WiFi | BT) Face Eye Tracking / Recognition is free Tools app, developed by Vicente Arturo Zavala Ortiz. Latest version of IoT (WiFi | BT) Face Eye Tracking / Recognition is 8.0.1, was released on 2024-07-14 (updated on 2024-04-21). Estimated number of the downloads is more than 1. Overall rating of IoT (WiFi | BT) Face Eye Tracking / 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 IoT (WiFi | BT) Face Eye Tracking / Recognition on Windows?

Instruction on how to install IoT (WiFi | BT) Face Eye Tracking / Recognition on Windows 10 Windows 11 PC & Laptop

In this post, I am going to show you how to install IoT (WiFi | BT) Face Eye Tracking / 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 IoT (WiFi | BT) Face Eye Tracking / 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 "IoT (WiFi | BT) Face Eye Tracking / 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 IoT (WiFi | BT) Face Eye Tracking / 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 "IoT (WiFi | BT) Face Eye Tracking / Recognition" on the home screen of NoxPlayer, just click to open it.

Discussion

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Download older versions

Other versions available: 8.0.1.

Download IoT (WiFi | BT) Face Eye Tracking / Recognition 8.0.1 on Windows PC – 81.1 MB

The advancement and development of high resolution per frame cameras in recent years motivate both engineers and students in the research and creation of applications based on "automated" computer vision algorithms, a frequent task used in the tracking of object movements and position, as well as its own characteristics, such as: object shape, object color, etc.

In this case, the project is based on the tracking and recognition of faces. If it detects a face, it focuses it within a red frame. If it recognizes it in a lower percentage, the focus is within a yellow frame, and if the percentage is high or very high, it focuses it within a green frame.

Communicate with Arduino and WiFi modules like CC3000, ESP32 and ESP8266.
- Connect your mobile to an access point.
- Enter target host on app.
- Change port if needed for both server and client.

How It Works.

WiFi module receives information about the object through a WiFi module, in this case the ESP32 , ESP8266 and Breakout Board CC3000 from TI. The communication is done through UDP or TCP sockets client server "NOW COMMUNICATION CAN BE ACHIEVED THROUGH BLUETOOTH" the application in the mobile sends the necessary data (frame size, position and "face color" for horizontal and vertical servo) to the microcontroller so that this can perform the calculations with the information sent and perform the updates in the servos, in this case only the horizontal.

UDP and TCP:
data is send as String.

BLUETOOTH:
data is send as BYTES.
Track the position of the face eyes and recognize faces, sends data to device, position of face and "face color" when recognizes.

Works with same WiFi protocols UDP or TCP and now with Buetooth, compatible with most System Architectures armeabi-v7a, arm64-v8a
Required to be able to access the camera device.
Allows an application to read from external storage.
Allows an application to write to external storage.
Allows applications to open network sockets.
Allows applications to connect to paired bluetooth devices.
Allows applications to discover and pair bluetooth devices.
Allows an app to access approximate location.