Thermography

Infrared thermal imaging technology enables non-contact, real-time visualization and wide-area temperature detection, making it ideal for industrial temperature measurement. It is widely used for equipment condition monitoring, including early overheating warnings in rotating machinery, electrical equipment, and steam systems. Additionally, it supports production quality control in metallurgy and chemical reaction safety monitoring. Combined with AI analytics and data logging, it helps predict faults and analyze trends, enhancing maintenance efficiency and safety.

Thermal imaging captures infrared radiation from building surfaces to generate clear thermal maps, allowing non-contact, accurate detection of temperature anomalies. It is commonly applied in energy efficiency assessments by locating insulation defects, air leaks, and heating system faults. The technology also excels in detecting water leaks in roofs, walls, and hidden pipes, as well as assessing structural issues like delamination and internal cracks—supporting preventive maintenance without damaging structures.

Infrared thermal imaging offers a safe, non-invasive tool to detect subtle temperature variations on the human body. It facilitates early warning of diseases such as tumors, inflammation, and soft tissue injuries well before structural changes become visible. This technology supports whole-body scans and dynamic treatment evaluation, making it especially valuable for vulnerable groups like pregnant women and children, and complements traditional medical imaging by providing crucial metabolic insights.

In livestock management, infrared thermal imaging provides non-contact, high-precision, and real-time monitoring of animal surface temperatures. It enables rapid detection of abnormalities linked to diseases such as African swine fever, joint swelling, and mastitis, while also supporting reproductive management and environmental control. When integrated with IoT platforms, it forms a closed-loop system for monitoring, analysis, and decision-making, significantly improving disease prevention, breeding efficiency, and farm environmental adaptability.