Automated Leak Detection using Infrared Camera (ALDUIR)

ALDUIR is cutting-edge software designed to work with infrared cameras to automatically detect leaks and anomalies. It utilizes real-time video processing and image classification to enhance monitoring capabilities, especially in hard-to-access and hazardous areas.

Detecting leaks in industrial systems is crucial for maintaining safety and efficiency. Traditional methods can be time-consuming and challenging, especially in tight or hazardous spaces. The development of ALDUIR addresses these challenges by providing an automated solution that leverages infrared imaging and advanced processing techniques.

ALDUIR processes infrared images and videos in real-time or batch formats to identify leaks and other anomalies. It breaks down videos into frames, analyzes movement using an optical flow algorithm, and classifies the contents through a convolutional neural network. The software includes features to handle noisy images and eliminate irrelevant movements, ensuring accurate detection.

Advantages:

• Automated Detection: Reduces manual inspection time and effort by automatically identifying leaks.
• Real-Time Processing: Provides instant analysis and feedback.
• Versatile Input Formats: Handles both real-time video feeds and batch-processed images.
• Advanced Classification: Utilizes convolutional neural networks for precise anomaly identification.
• Noise Reduction: Minimizes false positives by filtering out irrelevant movements.
• Enhanced Accessibility: Ideal for monitoring tight or hazardous spaces inaccessible to humans.

Applications:

• Industrial Pipelines: Detect leaks in oil, gas, and chemical pipelines.
• HVAC Systems: Monitor refrigerant leaks in heating, ventilation, and air conditioning systems.
• Chemical Processes: Detecting leaks of potentially hazardous chemicals.
• Seals and Gaskets: Identify failures in seals and gaskets in various machinery.
• Remote Monitoring: Supervise equipment in hard-to-reach or hazardous locations.

This software is under copyright. To purchase a license, please use the 'Contact Us' form on this page. We will respond as promptly as possible.