Mobile Surveillance Unit Event Detection Data Reduction
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Solution Overview
Problem
Conventional video surveillance systems face challenges with remote access and management due to limited accessibility and high costs associated with streaming video data over metered cellular and satellite connections, leading to poor video quality and excessive data usage.
Innovation Solution
A system that includes a mobile surveillance unit with local storage and sensors to detect events, transmitting only specific data sets over metered connections, allowing for efficient and cost-effective streaming of live video, with configurable bit rates to adapt to varying connection speeds, and enabling users to request and retrieve video footage on demand.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If video data is streamed over metered cellular and satellite connections, then remote access and management is enabled, but data usage costs increase and video quality deteriorates
Solution Approach 1:
The patent extracts only the essential metadata and event information from the full video data stream for transmission over metered connections. Sensors detect specific events (motion, sound, environmental changes) and transmit only relevant data snippets rather than continuous video streams, dramatically reducing data usage while maintaining remote accessibility.
Solution Approach 2:
The system implements local intelligence at the surveillance unit, where sensors and processors analyze video data locally to identify events of interest. Only events meeting specific criteria trigger data transmission, optimizing the balance between remote access capability and data consumption by transmitting high-quality data only when necessary.
2Ease of operation
If video data is streamed over metered connections, then remote access is enabled, but connection costs increase
Solution Approach 1:
The system employs periodic event sampling rather than continuous streaming. Sensors monitor conditions continuously but transmit data only when predetermined events occur (motion detected, anomaly identified, threshold exceeded). This periodic transmission approach enables remote access functionality while minimizing connection usage and associated costs.
Solution Approach 2:
The surveillance unit autonomously determines when data transmission is necessary based on local event detection and analysis. The system self-regulates its communication behavior, activating remote data transmission only when locally detected events warrant notification, thereby eliminating unnecessary connection costs while preserving remote access capability.
3Reliability
If continuous video streaming is implemented, then complete surveillance coverage is achieved, but power consumption increases
Solution Approach 1:
The system implements partial surveillance action by continuously monitoring for specific events rather than continuously transmitting all video data. Sensors operate continuously to maintain surveillance coverage, but data transmission occurs only partially—specifically when events of interest are detected—thereby maintaining reliability while reducing power consumption.
Solution Approach 2:
The surveillance function is segmented into continuous local monitoring and intermittent remote transmission. The system divides the surveillance task such that sensors and local processors operate continuously to ensure complete coverage, while communication modules activate only in segments when event-triggered transmission is required, optimizing the power-reliability tradeoff.
Data Source
AI summary
Methods and systems provided. A system may include a mobile surveillance unit positioned within an environment and including one or more sensors configured to detect one or more events occurring within or near the environment. The system may also include an application program configured to: convey data related to a detected event of the one or more events to an electronic device remote from the mobile surveillance unit; and in response to input associated with the detected event, convey, from the mobile surveillance unit, image data, video data, audio data, or any combination thereof, previously captured at the mobile surveillance unit and associated with the detected event.