Neighborhood Alert Mode for Multi-Camera Suspect Tracking
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing audio/video (A/V) recording and communication devices lack the ability to effectively track moving suspects across multiple camera fields of view and efficiently manage power resources, limiting their effectiveness in crime detection and prevention.
Innovation Solution
Implementing a neighborhood alert mode that triggers multi-device recording and a multi-camera motion tracking process to create 'storyboard' images, allowing cameras to power up and record additional footage based on shared video, and using camera event stitching to provide a unified view of activity across multiple cameras.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple cameras are activated to record suspect movement across neighborhood, then tracking capability is improved, but power consumption increases
Solution Approach 1:
The system pre-identifies cameras within the suspect's movement path and prepares them for activation before the suspect actually reaches their fields of view. This preliminary preparation allows cameras to remain in low-power mode longer while still maintaining tracking capability when needed.
Solution Approach 2:
The system dynamically adjusts camera activation based on real-time suspect movement data. Cameras are activated only when the suspect approaches or enters their field of view, and deactivated when the suspect moves away, creating an adaptive power management system that maintains tracking reliability while minimizing energy consumption.
2Use of energy by moving object
If cameras remain in low-power mode to conserve energy, then power consumption is reduced, but response time to detect and record suspect activity increases
Solution Approach 1:
The system performs preliminary identification of cameras that will be needed based on suspect trajectory prediction. These cameras are prepared for quick activation but remain in low-power mode until actually needed, reducing both power consumption and response time by having cameras ready beforehand.
Solution Approach 2:
The system continuously monitors suspect movement and provides feedback to the camera control system. This real-time feedback enables the system to predict when cameras will be needed and activate them at the optimal moment, balancing power consumption with response time requirements.
3Device complexity
If individual cameras operate independently, then device complexity is reduced, but ability to track moving suspects across multiple fields of view deteriorates
Solution Approach 1:
The system merges data from multiple independent cameras by stitching their video feeds together to create a unified view of suspect movement across the neighborhood. This combining approach maintains the simplicity of individual camera operation while achieving comprehensive tracking capability through centralized video processing.
Solution Approach 2:
The video stitching system acts as an intermediary that receives data from multiple independent cameras and synthesizes them into a cohesive tracking view. This intermediary layer allows cameras to operate independently with simple individual functionality while the mediator provides the enhanced multi-camera tracking capability.
Data Source
AI summary
The present embodiments relate to improvements to audio/video (A/V) recording and communication devices, including improved approaches to using a neighborhood alert mode for triggering multi-device recording, to a multi-camera motion tracking process, and to a multi-camera event stitching process to create a series of “storyboard” images for activity taking place across the fields of view of multiple cameras, within a predetermined time period, for the A/V recording and communication devices.