UAV Docking Station for Autonomous Law Enforcement Surveillance
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Solution Overview
Problem
First responders, particularly law enforcement officers, face challenges in maintaining situational awareness due to limited and costly surveillance systems, which are often hindered by environmental factors like lighting conditions and obstacles, and existing technologies increase workload without providing effective autonomous surveillance solutions.
Innovation Solution
Deployment and use of an unmanned aerial vehicle (UAV) system equipped with a camera, receiver, transmitter, and processor for capturing and analyzing video and audio data, capable of docking with a vehicle-mounted station for charging and data transfer, and triggering actions based on detected content, such as issuing alerts or controlling navigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If helicopters are used for surveillance, then situational awareness is improved, but cost and availability deteriorate
Solution Approach 1:
The patent uses a small UAV as a simplified copy of traditional helicopter surveillance systems. The UAV replicates the aerial surveillance function at a fraction of the cost, using consumer-grade components (camera, GPS, microcontroller) instead of expensive aviation systems. This allows law enforcement to achieve similar situational awareness without the high operational and acquisition costs of helicopters.
Solution Approach 2:
The UAV system employs inexpensive, easily replaceable components including a standard camera module, consumer-grade GPS receiver, and affordable microcontroller. If the UAV is damaged or loses functionality, it can be replaced or repaired at minimal cost compared to helicopter systems, making the overall surveillance solution economically viable for continuous operation.
2Loss of information
If body-worn cameras are used, then evidence collection is improved, but field of view deteriorates
Solution Approach 1:
The patent transitions the surveillance perspective from the two-dimensional limited view of body-worn cameras to the three-dimensional aerial perspective of the UAV. By deploying the camera system in the air rather than on the officer's body, the system gains a superior vantage point that captures a much broader area including rooftops, vehicles, and surrounding environments that ground-level cameras cannot observe.
3Ease of operation
If autonomous surveillance is implemented, then workload is reduced, but system complexity increases
Solution Approach 1:
The UAV system performs self-navigation using autonomous flight control algorithms that automatically pilot the aircraft based on pre-programmed waypoints or real-time GPS coordinates. The system independently manages battery monitoring, data recording, and transmission without requiring constant officer intervention. This autonomy significantly reduces officer workload while the underlying complexity is contained within the UAV's onboard electronics and software.
Data Source
AI summary
A system includes an unmanned aerial vehicle (UAV). The UAV may include a camera device configured to capture at least video data; a receiver configured to receive wireless communications; a transmitter configured to transmit wireless communications; storage linked with the camera device, the receiver, and the transmitter and configured to store data captured by the camera device and wireless communications received by the receiver; and a processor linked with and configured to exercise control over the camera device, the receiver, the transmitter, and the storage. The UAV is configured to dock with a docking station mounted on a vehicle. The UAV may have other components such as a microphone and sensors, and may perform various functions such as surveillance, tracking, warning, and data storage, transmission and relay. Associated methods and docking stations are also disclosed.


