A new Internet of Things face tracking and recognition system has been created by Vicente Arturo Zavala Ortiz using an android smartphone, a little Arduino and a SparkFun WiFi Breakout board in the form of the CC3000.
Watch the video below to learn more about the system and also jump over to the Hackster website to learn more about the project and how and why it was created. It’s developer explains a little more below.
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 the face at 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. The functionality of the project, I think, is simple but requires a bit of investigation.
Arduino Micro receives information about the object through a WiFi module, in this case the SparkFun Breakout Board CC3000 from IT. The communication is done through UDP sockets client server: the application in the mobile sends the necessary data (frame size and position 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.
Source: Adafruit : Vicente Zavala : Hackster
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