How Artificial Intelligence and Infrared Technologies Can Be Used Together in Industrial Settings

AI can improve the performance of not just humans, but entire organizations. For example, AI algorithms power new applications and services that help humans do their jobs better in industrial settings. Thermal imaging is one such application. Increasingly used in industrial, thermal or infrared imaging, imaging could be one of the main beneficiaries of artificial intelligence. During the Covid-19 pandemic, we saw how augmented thermal imaging (AI thermal imaging) can help detect people with a fever, even in crowds.

One area where AI really shines is in solving random problems, which traditional algorithms can't do. Whether in surveillance, smart buildings or autonomous vehicles, thermal imaging is increasingly confronted with random events influenced by unpredictable human behavior. AI is ideal for these "uncertain" problems, where the solution can be different every time a problem arises.

Read on to learn how artificial intelligence and infrared technologies can be used together in industrial settings.

In the current public health crisis, having the technological means to detect potential cases of infection is critical. An infrared temperature measurement system powered by artificial intelligence algorithms has been developed, increasing the effectiveness of temperature control. AI can detect and measure the temperature of the face and other areas that best indicate core body temperature - all without physical contact. These temperature controls are rapid and non-invasive, facilitating screening.

Whether it's for ADAS (Advanced Driver Assistance Systems) or fully automated driving, technology that ensures adequate control and safety is absolutely essential. The automotive industry is turning to AI for various vehicle systems, some of which also include thermal imaging, for example, which can be used to enhance night vision.

A database of road pictures taken during the day and night in urban, rural, and other environments is used to improve autonomous perception in different traffic conditions. Image streams from the vehicle's two sensors are captured and used in AI algorithms that power different vehicle systems. Captured images must be annotated so that algorithms can learn from them. Here, deep learning is used to automatically model the collected data so that the AI can learn from it.

Optical waste sorters use infrared technology to detect plastics, especially resins. When artificial intelligence, especially deep learning, is added to the mix, these machines can better sort and weed out items with minor impurities from recycled materials. These items cannot be detected using thermal imaging alone, but they can be identified thanks to a vast database of images.

Thermal imaging can be used to "see" a scene at night, even in bad weather. This capability is particularly useful in surveillance, security, and defense. When you add AI, thermal imaging sensors can not only detect the presence of people but actually interpret what they see. 

Thermal sensors can identify suspicious persons in border areas; for example, thermal sensors with AI could decide to sound an alarm if a detected person appears to be trying to cross or climb over a security fence. This intelligence makes the jobs of human responders easier, safer, and more effective.

Understanding a scene in this way requires a combination of computer vision, thermal imaging, and artificial intelligence. AI acts as the "brain" of the system. It can learn, adapt, consider alternatives, and propose new strategies to interpret and analyze scenarios.

Even in rough terrain, thermal imaging devices can detect the presence of animals at night. For example, when you add AI to these infrared sensors and mount them on drones, you can fly over remote areas or densely vegetated areas to locate and count animal species under study.

Artificial intelligence makes this possible by using a large image database to compare the algorithm with images captured by infrared detectors. AI can also identify the category of animals in real-time. While human assistance is always very useful in such tasks, artificial intelligence can make the job much easier.

Combining existing technologies in new ways is a great way to come up with new solutions to new problems. However, having an expert by your side can make all the difference when it comes to advanced technology like infrared. Whether you're considering integrating thermal imaging and/or artificial intelligence into your next product or solution, consult an expert for advice on how best to integrate these technologies. Therefore, if you are looking for infrared thermal imaging equipment, please contact us.

With its leading R&D technology and excellent manufacturing process, JAVOL has become an industry-leading professional custom infrared thermal imaging systems manufacturer. We are committed to providing users with high-quality products and considerate services. We are equipped with professional quality inspection system and a perfect management system, which can fully control the quality and details of products. At the same time, we will also provide effective solutions according to the diverse needs of users. If you are interested in our SWIR cameras, please contact us now!