Robot Control Device and Method

Robot Control Device for Remote Monitoring Using Stereo Vision and Event Detection

This technology performs image acquisition based on stereo vision and motion detection using a block-matching algorithm. It improves the precision of object motion estimation by scaling motion vectors in consideration of the PTZ camera's zoom magnification, and controls the robot's response behavior based on the detected event situation.

Conventional single-camera or pan-tilt camera systems suffer from blind spots in complex environments and are unable to perceive 3D hazards due to their reliance on 2D imagery. Existing motion detection based on frame differencing is prone to noise and false positives, while optical flow methods are often unsuitable for real-time processing due to high computational requirements.

This technology acquires 3D distance information through stereo vision using multiple cameras and tracks motion by implementing a block-matching method in the event detection unit. In particular, it includes a correction logic that scales motion vectors according to changes in camera zoom magnification, ensuring accurate object motion detection even in variable shooting environments.

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Key Features:

• Multiple imaging units that collect images of the surrounding environment using stereo vision
• A communication unit that transmits images of the surrounding environment to external users via at least one of Wi-Fi, CDMA, HSDPA, or HSUPA
• A control unit that determines which images to collect and manages the imaging and communication units to transmit them to external users
• An event detection unit that extracts and scales object motion vectors based on the difference between current and previous image frames

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