Machine Vision

With its non-contact operation, high sensitivity, and real-time dynamic monitoring, infrared thermal imaging is transforming quality control in industrial automation, making it a key enabler of Industry 4.0. Detecting product defects in the early stages of production is crucial for ensuring quality and reducing costs, and thermal imaging can be applied to almost every stage of the manufacturing process.

In PCB production, infrared thermal cameras can simultaneously monitor the temperature distribution of hundreds of components, quickly locating chip overloads, faulty solder joints, and other defects. In injection molding and die-casting, uneven mold temperatures can cause product flaws—thermal imaging enables real-time surface temperature mapping to guide process parameter adjustments.

In power battery manufacturing, infrared analysis reveals the thermal behavior during charging and discharging cycles, helping to optimize energy strategies, improve safety, and prevent thermal runaway incidents.

By providing precise, all-weather, and contact-free temperature visualization, infrared thermal imaging empowers manufacturers to achieve higher efficiency, better product quality, and safer operations.

Robots equipped with infrared thermal imaging are transforming operations across industrial inspection, security monitoring, emergency rescue, and intelligent interaction. Their core advantage lies in overcoming the limitations of visible light, adapting to challenging environments, and enhancing worker safety.

• Industrial Inspection – Substation inspection robots autonomously detect abnormal temperatures in electrical equipment, such as transformer overheating or poor contact points. Pipeline inspection robots identify insulation damage, leakage points, and coking levels in oil and gas pipelines.

• Security & Surveillance – Security robots use thermal vision to penetrate smoke, rain, and snow, accurately detecting and locating intruders.

• Emergency Response – Firefighting robots locate trapped individuals and fire sources through thick smoke, enabling faster rescue.

• Agricultural Applications – Agricultural robots analyze crop temperature patterns to detect pest infestations and irrigation needs.

As infrared thermal imaging merges with near-infrared spectroscopy and AI-powered image recognition, its applications in robotic vision will continue to expand—driving smarter, safer, and more efficient operations.