Advancing the Robotic Vision Revolution: Development and Evaluation of a Bionic Binocular System for Enhanced Robotic...

Area of Science:

• Robotics
• Computer Vision
• Biomedical Engineering

Background:

• Human eye movements enhance visual perception in complex environments.
• Existing bionic binocular cameras often lack miniaturization and power efficiency.
• Robotic vision systems require advanced perception for navigation and interaction.

Purpose of the Study:

• To develop a novel, miniature bionic eye binocular vision system.
• To mimic natural human eye movements for improved visual field and perception.
• To evaluate the system's performance in object recognition and power efficiency for mobile robots.

Main Methods:

• Designed a bionic eye binocular vision system integrating axis and camera rotation.
• Developed the JEWXON BC200, a miniature bionic binocular camera with low power consumption (2.8 W).
• Integrated the YOLO-V8 model for object recognition (e.g., clocks, keyboards).

Main Results:

• The JEWXON BC200 offers a broader field of view and enhanced visual perception.
• The system achieves seamless panoramic image synthesis through combined rotational movements.
• Accurate object recognition of common items like clocks and keyboards was demonstrated.

Conclusions:

• The developed bionic eye system provides a novel approach for robotic vision.
• Its miniaturization, low power consumption, and object recognition capabilities make it suitable for mobile robots.
• This research offers new insights for advancing robotic vision systems.