PoE Light Auto Calibration for Machine Vision Current Limits
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Solution Overview
Problem
Conventional machine vision systems face challenges in providing adequate power to external illumination sources using Power over Ethernet (PoE) due to current limits, leading to potential overloading and the need for costly, bulky power supplies, and manual calibration is time-consuming and inaccurate.
Innovation Solution
An automatic calibration system adjusts the output intensity of external illumination sources using PoE by measuring current draw and comparing it to a budget, iteratively adjusting until it falls within the PoE power supply limits, thereby preventing overloading and enabling seamless integration of illumination sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If Power over Ethernet (PoE) is used to supply power to external illumination sources, then device complexity and cost are reduced, but the illumination intensity and power supply capability deteriorate due to current limits
Solution Approach 1:
The system dynamically adjusts the PoE power allocation between the machine vision camera and external illumination sources based on real-time power consumption monitoring. The controller continuously monitors current draw and redistributes available PoE power to ensure adequate illumination intensity while preventing overloading, transforming a static power limit into a dynamic power management system.
Solution Approach 2:
The system changes the electrical parameters (voltage, current allocation) of the PoE power supply in real-time based on the connected illumination devices' requirements. By monitoring power consumption and adjusting voltage/current distribution dynamically, the system overcomes the fixed current limits of standard PoE to provide sufficient illumination intensity without requiring additional power supply hardware.
2Reliability
If manual calibration is used to adjust illumination sources, then power supply limits can be managed, but time consumption and operational efficiency worsen
Solution Approach 1:
The system implements self-service calibration by automatically monitoring power consumption of connected illumination devices and adjusting PoE power allocation without user intervention. The controller autonomously identifies when illumination devices are connected, measures their power requirements, and dynamically adjusts voltage/current distribution to optimize illumination while preventing overloading, eliminating the need for manual calibration procedures.
Solution Approach 2:
The system incorporates continuous feedback loops where the controller monitors power consumption data from illumination devices and adjusts PoE power allocation in real-time. This closed-loop control enables automatic adaptation to changing illumination requirements while maintaining power limits, replacing time-consuming manual calibration with rapid automated adjustments based on real-time system state feedback.
3Illumination intensity
If PoE current limits are increased to support higher power illumination, then illumination intensity improves, but the risk of system overloading and reliability worsens
Solution Approach 1:
The system dynamically adjusts PoE current allocation based on real-time monitoring of total power consumption. Rather than using fixed high current limits that risk overloading, the controller continuously measures the aggregate power draw of all connected devices and dynamically redistributes available current, allowing higher illumination intensity when capacity permits while automatically preventing overload conditions.
Solution Approach 2:
The system implements preemptive power management by monitoring power consumption trends and adjusting PoE allocation before overload conditions occur. The controller maintains a safety buffer by tracking remaining power capacity and proactively reducing illumination power or alerting users before system limits are exceeded, preventing reliability issues before they arise rather than reacting to overload conditions.
Data Source
AI summary
Methods and systems for automatically calibrating external illumination sources are disclosed herein. An example method includes supplying power over Ethernet (PoE) to an imaging assembly. The example method may further include identifying a characteristic corresponding to an external illumination source connected to the imaging assembly. The example method may further include adjusting an output intensity of the external illumination source based upon the characteristic, wherein the imaging assembly supplies the PoE to the external illumination source.