Real-time color detection is a popular application in computer vision, where a program identifies and processes colors in a live video feed. This can be achieved using Python and the OpenCV library, which provides tools for video capture, image processing, and color manipulation. Below is a detailed explanation of how to implement real-time color detection.
Object Tracking: Follow colored objects (e.g., red ball tracking).
Robotics: Guide robots based on detected colors.
Industrial Automation: Identify specific colored items on a conveyor belt.
Interactive Applications: Build AR effects triggered by specific colors.
Real-time color detection using an ESP32-CAM involves programming the module to capture video frames, process them to detect a specific color, and send the results to a client, such as a web browser or a serial monitor.
In this context, we have produced a vision system that can detect colors in real time and light the LEDs according to the colors detected.
The colors detected by this system are: red, blue, green and yellow.
This system consists of an ESP32CAM card computer.
Educational robotics refers to the use of robots and robotics technology to promote learning in educational settings. It involves the integration of technology, engineering, and computer science into the classroom, allowing students to engage in hands-on, project-based learning experiences.
In this context, our website represents an excellent resource for parents, teachers and children who wish to discover robotics.
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