A Qualitative Analysis of a USB Camera for AGV Control

Area of Science:

• Robotics and Automation
• Computer Vision
• Industrial Engineering

Background:

• Automated Guided Vehicles (AGVs) are increasingly used in industry for enhanced efficiency and safety.
• Traditional AGV control methods require refinement to meet evolving market demands.
• USB cameras offer a potential new sensor technology for AGV navigation.

Purpose of the Study:

• To qualitatively and quantitatively analyze the suitability of USB cameras as position sensors for AGVs.
• To investigate the impact of various camera and AGV parameters on line detection and control.
• To assess the pertinence of camera-based sensing for AGV control systems utilizing passive floor demarcations.

Main Methods:

• Experiments were conducted using a small AGV prototype on an eight-shaped lane.
• A USB camera was employed with varying image processing settings (morphological filters, structuring elements, resolutions).
• AGV parameters, including linear speed, were adjusted during testing.

Main Results:

• The study provides a qualitative and quantitative analysis of different USB camera sensor configurations.
• Factors influencing line detection and control processing were identified.
• The experiments confirmed the pertinence of the USB camera for the proposed AGV control system.

Conclusions:

• USB cameras are a viable sensor option for AGV control systems, particularly those relying on passive floor markings.
• Image processing parameters significantly affect line detection accuracy and control performance.
• The research validates the use of cameras for precise AGV positioning and navigation.