Low-Power RF Camera Network for Remote Wildlife Monitoring
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Solution Overview
Problem
Existing camera systems deployed over large distances, such as wildlife or trail monitoring, face challenges in efficient image retrieval due to the need for manual access and download from multiple cameras, which is time-consuming and power-intensive, especially with inefficient wireless network protocols.
Innovation Solution
A low-power radio-frequency (RF) network is established among cameras to enable efficient image transfer between nodes, optimizing power usage and deployment flexibility by using a mesh topology with sleep and wake modes, image fragmentation, and optimized routing to reduce power consumption and administrative complexity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing wireless network protocols (e.g., Bluetooth) are used for image transmission, then effective network communication is achieved, but power consumption increases significantly
Solution Approach 1:
The patent implements periodic wake-up cycles where cameras alternate between sleep mode and active transmission mode. Each camera wakes up at predetermined intervals to transmit images and then returns to sleep mode, rather than maintaining continuous wireless communication. This periodic operation dramatically reduces power consumption while ensuring images are transmitted regularly.
Solution Approach 2:
The patent introduces a central base station as an intermediary that collects images from multiple cameras and manages network coordination. The base station acts as a hub that receives images during wake periods and stores them, eliminating the need for cameras to maintain continuous peer-to-peer wireless connections and reducing overall network power consumption.
2Area of stationary object
If cameras are deployed over large distances in remote locations, then monitoring coverage is improved, but manual image retrieval becomes time-consuming and burdensome
Solution Approach 1:
The patent enables cameras to automatically transmit their captured images to the base station without requiring manual intervention. The self-service mechanism includes automatic wake-up scheduling, automatic image retrieval from memory, automatic transmission formatting, and automatic error handling, eliminating the need for users to physically visit each remote camera to retrieve images.
Solution Approach 2:
The patent replaces the mechanical process of manual image retrieval (physically accessing cameras, removing memory cards, connecting to computers) with an automated wireless electronic transmission system. Images are transferred electronically through the wireless network to the base station, where they can be accessed digitally, substituting mechanical operations with automated electronic processes.
3Use of energy by moving object
If efficient image transmission is implemented, then power consumption is reduced, but network protocol complexity and administrative overhead increase
Solution Approach 1:
The patent implements a universal base station that performs multiple functions: receiving images from all cameras, managing network wake-up schedules, storing images temporarily, handling error recovery, and providing user interface access. This multi-functional hub consolidates complexity into a single device rather than requiring each camera to independently manage complex network protocols.
Solution Approach 2:
The patent changes the operational parameters of camera transmission by using simplified wake-up signaling instead of continuous communication protocols. The system uses basic on/off transmission states with predetermined timing parameters rather than complex real-time protocol negotiations, reducing the computational and communicative overhead required for network management.
4Duration of action of moving object
If cameras operate in sleep mode to conserve power, then battery life is extended, but network topology changes frequently making routing difficult
Solution Approach 1:
The patent merges all cameras into a star-topology network centered on the base station, where all communication routes converge at the hub. This consolidation creates a stable logical topology despite physical cameras being in sleep mode, as the base station maintains continuous operation and centralizes all network state management, eliminating routing complexity from individual camera nodes.
Data Source
AI summary
Systems and methods for transferring data between a server and a system of cameras. One embodiment provides a low-power radio frequency (“RF”) network for a system of cameras. The network comprises a server configured to access information related to the system of cameras, wherein the server receives a signal indicating a user input, and a first camera of the system of camera. The first camera is configured to receive a status report from a second camera of the system of cameras, update a cache of the first camera based on the status report from the second camera of the system of cameras, and transmit the updated cache of the first camera to the server.