Wide-angle binocular vision identifying and positioning device for service robot

Abstract

The invention relates to the field of integration of robot vision and electromechanics, in particular to a wide-angle binocular vision identifying and positioning device for a service robot. The invention aims to provide a robot device having wide-angle binocular vision identifying and positioning functions. The wide-angle binocular vision identifying and positioning device for the service robot is provided with a mechanical structure and a control system, wherein the mechanical structure comprises a framework assembly, and a camera and a servo assembly which are arranged on the framework assembly; the control system comprises an MCU (Micro-programmed Control Unit) master controller, a power supply circuit, a head horizontal/vertical servo driver and a left/right eye rotation servo driver; and the MCU master controller is connected with the head horizontal/vertical servo driver and the left/right eye rotation servo driver in a CAN (Controller Area Network) bus communication way.

Description

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AI Technical Summary

Benefits of technology

This patented technology allows for better understanding by referring to existing systems used with robots such as visual sensory devices or robotic arms. It achieves this through various techniques like cameras mounted at different angles around an axis called bimodality, rotating eyes about two axes perpendicular to each other, etc., resulting in wider field of views from all directions while still being able to recognize objects accurately within certain limits. Additionally, it includes advanced image processing algorithms that enhance object detection accuracy during motion estimation processes. Overall, these technical features help make robotics more efficient and reliable over complicated environments where there are only one direction available.

Problems solved by technology

The technical problem addressed in this patents relates to improving the accuracy and responsiveness of servicing robots operating at complicated environments while maintaining good quality images captured over wide observation angles. This includes issues like limited depth sensitivity due to limitations associated with cameras and optical systems, difficulty accurately capturing static scenes caused by movement within them, and slow tracking during changing conditions.

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