Robotic Surveillance Deployment for Dead-Angle and Response Gaps
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Solution Overview
Problem
Existing surveillance systems are passive and lack flexibility, relying on security officers for decision-making and analysis, and have fixed camera positions that cannot adapt to changing environments, leading to missed urgent situations and accuracy issues in face recognition due to size limitations.
Innovation Solution
A surveillance system comprising computing devices and robotic surveillance devices that analyze video data to detect trigger events, determine the optimal robotic device to respond, and perform actions such as recording, alarming, or physical interference, with the ability to move and adjust camera positions dynamically based on detected events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If fixed cameras are used in surveillance systems, then installation is simple and initial cost is low, but the system cannot adapt to changing environments and has dead angles
Solution Approach 1:
The patent replaces fixed cameras with mobile robotic devices that can dynamically move to different positions and orientations. The robotic surveillance device includes wheels for movement, a camera that can pan and tilt, and a controller that adjusts positioning in real-time based on detected events, transforming the static surveillance system into a dynamic one that adapts to changing environmental conditions and eliminates dead angles.
2Reliability
If security officers manually analyze video data, then decision-making can be performed, but urgent situations may be missed due to human absence or distraction
Solution Approach 1:
The patent implements an automated event detection system where the robotic device independently analyzes video data using computer vision algorithms to identify suspicious activities, objects, or behaviors. The system automatically triggers responses without requiring human intervention for detection, enabling continuous monitoring and immediate response to urgent situations even when security officers are absent or distracted.
Solution Approach 2:
The system incorporates real-time feedback loops where detected events automatically trigger predetermined responses such as adjusting camera angles, moving the robotic device to new positions, activating alarms, or notifying authorities. This closed-loop feedback mechanism ensures that urgent situations are immediately addressed based on objective detection criteria rather than human attention availability.
3Measurement precision
If fixed cameras are positioned carefully, then coverage is optimized, but face recognition accuracy decreases when persons are at varying distances due to size limitations
Solution Approach 1:
The robotic surveillance device dynamically adjusts its position and camera orientation to maintain optimal imaging conditions for face recognition. When a person is detected at varying distances, the system automatically moves the robotic device closer or adjusts the camera zoom and angle to ensure the face occupies an appropriate size in the image frame, thereby maintaining high recognition accuracy across all distance ranges.
Solution Approach 2:
The system applies different surveillance strategies based on local conditions - when a person is far away, the robotic device moves closer or increases zoom; when close, it adjusts angle or zooms out. This localized adaptation of camera parameters and device positioning ensures optimal face recognition accuracy for each specific distance scenario rather than using a fixed configuration.
Data Source
AI summary
A surveillance system may comprise one or more computing devices and one or more robotic surveillance devices. The one or more computing devices may be configured to obtain video data captured by one or more cameras. The one or more computing devices may analyze the video data to determine whether there is any trigger event. In response to determining that there is a trigger event, the one or more computing device may determine an optimal robotic surveillance device among the one or more robotic surveillance devices based on the trigger event and provide an instruction to the optimal robotic surveillance device. The optimal robotic surveillance device may be configured to perform a responding action in response to receiving the instruction.