Livestock Pen Monitoring via Synchronized Edge Lighting and Camera Control
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Solution Overview
Problem
Conventional livestock monitoring systems face issues with camera damage due to position imbalance and wire entanglement, and struggle to accurately capture edge information of livestock, leading to blurred images and reduced recognition accuracy.
Innovation Solution
A system and method that synchronizes edge lightings and cameras using frame synchronization signals to control lighting and capture images, extracting and synthesizing edge information to generate monitoring information about livestock, thereby reducing camera damage and improving image clarity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If mobile CCTVs using wires are installed in livestock farm, then remote monitoring capability is improved, but camera damage occurs due to position imbalance or wire entanglement
Solution Approach 1:
The patent replaces mechanical wire-based CCTV systems with a wireless monitoring system. The monitoring device transmits images wirelessly to the external terminal, eliminating physical wires that cause entanglement and mechanical mounting issues. This substitution resolves the contradiction by maintaining remote monitoring capability while eliminating the mechanical failure modes of wire-based systems.
2Area of stationary object
If conventional CCTVs are used for livestock monitoring, then monitoring coverage is improved, but image clarity deteriorates due to inability to accurately capture edge information
Solution Approach 1:
The patent applies local quality enhancement by specifically improving the capture of edge information through synchronized lighting. The lighting unit emits light in synchronization with the image capture timing to illuminate edges clearly, while the image processing unit extracts and enhances edge information from captured images. This localized enhancement of edge quality resolves the contradiction by maintaining broad monitoring coverage while significantly improving edge detection precision.
Solution Approach 2:
The patent uses preliminary action by pre-synchronizing the lighting unit with the image capture timing before actual monitoring occurs. The control unit sets the lighting unit to emit light at predetermined timing synchronized with image capture, ensuring optimal edge illumination is already in place before the monitoring process begins. This preliminary synchronization resolves the contradiction by ensuring both comprehensive coverage and sharp edge capture from the start.
3Measurement precision
If synchronization signaling is implemented to control lighting and camera timing, then edge information accuracy is improved, but system complexity increases
Solution Approach 1:
The patent merges the lighting control and image capture functions into a unified synchronization system. The control unit integrates the timing control of both the lighting unit and the image capture process, using a single synchronization signal to coordinate both operations. This merging resolves the contradiction by achieving precise edge information capture through synchronized timing while avoiding the complexity of separate, uncoordinated control systems.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system effectively prevents camera damage and enhances the accuracy of livestock monitoring by capturing clear edge information, improving recognition and enabling timely emergency responses in livestock farms.
Implementation Method 1
each of the plurality of edge lightings may be a light emitting device having an infrared spectrum band
Data Source
AI summary
A system and method of monitoring in-pen livestock by using edge information about livestock are provided. The method controls a plurality of edge lightings and cameras installed in a pen by using a synchronization signal and accurately acquires and synthesizes edge information about livestock obtained on the basis of a control result to generate monitoring information about livestock.