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Related Experiment Video

Updated: Mar 2, 2026

VisualEyes: A Modular Software System for Oculomotor Experimentation
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Eyes of Things.

Oscar Deniz1, Noelia Vallez2, Jose L Espinosa-Aranda3

  • 1VISILAB, University of Castilla-La Mancha, E.T.S.I.Industriales, Avda Camilo Jose Cela s/n, Ciudad Real 13071, Spain. Oscar.Deniz@uclm.es.

Sensors (Basel, Switzerland)
|May 23, 2017
PubMed
Summary
This summary is machine-generated.

Embedded systems are gaining intelligence through computer vision (CV). The Eyes of Things (EoT) platform offers a versatile solution for advanced embedded CV applications, driving the Internet of Things forward.

Keywords:
Internet of Thingscomputer visionembedded computer visioneyes of things

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Robotics

Background:

  • Embedded systems are crucial for monitoring and control, evolving towards connectivity for the Internet of Things (IoT).
  • Increasingly, embedded devices require autonomous intelligence for complex problem-solving, with Computer Vision (CV) being key to interpreting visual data.
  • The integration of CV in embedded systems unlocks potential in diverse fields like drones, robotics, and intelligent surveillance.

Purpose of the Study:

  • To introduce the Eyes of Things (EoT) platform, a versatile solution designed for embedded computer vision.
  • To address the challenges and opportunities presented by the integration of intelligent computing and CV in embedded systems.
  • To facilitate the development of next-generation intelligent embedded devices for the Internet of Things.

Main Methods:

  • Development of the Eyes of Things (EoT) platform, a specialized hardware and software system for embedded computer vision.
  • Integration of advanced algorithms, potentially including deep learning, for real-time image and video analysis on edge devices.
  • Focus on enabling autonomous intelligence within sensing and computing devices for enhanced data processing and decision-making.

Main Results:

  • The EoT platform provides a versatile foundation for a wide range of embedded CV applications.
  • Demonstrates the feasibility of deploying sophisticated CV capabilities on resource-constrained embedded systems.
  • Highlights the potential for increased security, reduced latency, and lower power consumption through edge-based CV processing.

Conclusions:

  • The Eyes of Things (EoT) platform is a significant advancement in enabling intelligent embedded systems.
  • Embedded computer vision is poised to revolutionize numerous industries through applications in IoT, robotics, and beyond.
  • The future of embedded systems lies in their ability to autonomously perceive and interpret the world using computer vision.