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Related Experiment Video

Updated: Jan 26, 2026

How to Build a Dichoptic Presentation System That Includes an Eye Tracker
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Fish-eye camera and image processing for commanding a solar tracker.

Gerardo Garcia-Gil1, Juan M Ramirez2

  • 1Electrical Engineering Department, Centro de Enseñanza Técnica Industrial, Calle Nueva Escocia 1885, Providencia 5a Sección, Guadalajara, 44638, Jalisco, Mexico.

Heliyon
|April 13, 2019
PubMed
Summary
This summary is machine-generated.

This study presents a novel solar tracker using fisheye camera panoramic images to determine sun angles. The system effectively guides solar panels on sunny or cloudy days, enhancing energy capture.

Keywords:
Electrical engineeringEngineering

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Area of Science:

  • Renewable Energy Systems
  • Robotics and Control Systems
  • Computer Vision and Image Processing

Background:

  • Accurate solar tracking is crucial for maximizing photovoltaic energy generation.
  • Traditional solar tracking methods can be complex and require direct sunlight.
  • Image-based sun position estimation offers a potential alternative for robust tracking.

Purpose of the Study:

  • To design and implement an innovative solar tracker system.
  • To utilize panoramic fisheye camera images for sun angle estimation.
  • To develop a system functional under varying weather conditions, including cloud cover.

Main Methods:

  • Panoramic images captured by a fisheye camera undergo digital processing to estimate solar azimuth and elevation angles.
  • A microcontroller integrates sensor data from an accelerometer, gyroscope, and compass.
  • The microcontroller actuates the solar tracker to align with the calculated sun elevation and azimuth angles relative to magnetic or geographic north.

Main Results:

  • The proposed digital image processing accurately estimates sun angles from panoramic views.
  • The integrated microcontroller and sensor suite effectively control the solar tracker's orientation.
  • The system demonstrates satisfactory performance in guiding the solar tracker irrespective of weather conditions (sunny or cloudy).

Conclusions:

  • A robust and adaptable solar tracker system has been successfully designed and implemented.
  • Fisheye camera-based sun angle estimation provides a reliable method for solar tracking.
  • The developed system offers a viable solution for enhancing solar energy capture efficiency in diverse environmental conditions.