GPS-Based Camera Heat Map Target Planning
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Solution Overview
Problem
Current tracking solutions lack a method for overall planning of multiple tracking targets across a larger region, which requires multiple cameras and fails to efficiently manage resource allocation and event detection.
Innovation Solution
A GPS coordinates-based target overall planning method that acquires GPS coordinates of tracking targets, counts their numbers in pre-divided regions, generates heat maps, and dynamically adjusts camera parameters based on target density, and detects abnormal events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If multiple cameras are deployed to track targets in a larger region, then the coverage area is improved, but the device complexity and resource allocation difficulty increase
Solution Approach 1:
The patent divides the large monitoring region into multiple smaller regions (e.g., Region A, Region B, Region C) and assigns specific cameras to each region. This segmentation allows complex multi-camera systems to be managed through regional responsibility, reducing overall system complexity while maintaining extensive coverage.
Solution Approach 2:
The patent introduces a server as an intermediary component that receives data from multiple cameras, processes GPS coordinates, generates heat maps, and coordinates camera operations. This intermediary simplifies the complexity of managing multiple cameras by centralizing control and data processing functions.
2Area of stationary object
If multiple cameras are used to track targets in a larger region, then the coverage area is improved, but the ease of operation deteriorates
Solution Approach 1:
The system automatically generates heat maps based on target distribution data from cameras, and the server autonomously adjusts camera parameters without manual intervention. This self-service capability maintains extensive coverage while simplifying operation to automated processes.
Solution Approach 2:
The patent implements a feedback mechanism where camera data is processed to generate heat maps, which then feed back into the system to automatically adjust camera parameters and optimize monitoring. This closed-loop feedback maintains coverage while reducing operational complexity.
3Reliability
If camera parameters are adjusted to improve monitoring intensity in high-density regions, then the detection capability is improved, but the energy consumption increases
Solution Approach 1:
The patent adjusts camera parameters locally based on regional target density. High-density regions receive enhanced monitoring with higher frame rates and resolution, while low-density regions maintain standard settings. This local quality adjustment improves detection capability where needed without uniformly increasing energy consumption across all regions.
Solution Approach 2:
The system dynamically adjusts camera parameters in real-time based on heat map data showing target density changes. When target density increases in a region, the system automatically increases monitoring intensity; when density decreases, it reduces intensity. This dynamic adjustment maintains detection capability while optimizing energy consumption according to actual needs.
Data Source
AI summary
Provided are a GPS coordinates-based target overall planning method and a camera. Said method comprises: acquiring the GPS coordinates of each tracking target (S101); for each pre-divided region, counting the number of tracking targets located in the region based on the acquired GPS coordinates of each tracking target (S102); generating a heat map of the tracking targets based on the number of the tracking targets in each region (S103). Hence, in the present method, a device generates a heat map based on the GPS coordinates of tracking targets, and the heat map can reflect the number of the tracking targets in each region, achieving the overall planning of the tracking targets.