Infrared thermal imaging technology is gaining momentum in the market, with Yole Développement predicting a 15.8% compound annual growth rate for uncooled infrared imager shipments between 2016 and 2021. According to some estimates, China's infrared thermal imaging market could reach between 50 to 60 billion yuan, but it's still in its early stages. By 2020, the market is expected to grow by more than 20%.
As urban areas face increasing traffic congestion, High-Occupancy Vehicle (HOV) lanes have gradually become a common solution. These lanes require at least two passengers to be present in a vehicle. However, some drivers try to bypass the rules by using mannequins or pets instead of real passengers. To address this, Chengdu’s traffic management bureau has introduced a combination of on-site and off-site enforcement strategies, including the use of infrared thermal imaging technology to detect the actual number of people in vehicles. This advanced system helps identify violations automatically, ensuring compliance with HOV lane regulations.
Infrared thermal imaging works by detecting the heat emitted by objects. All objects above absolute zero emit infrared radiation, which carries unique thermal signatures. The thermal imager captures this radiation and converts it into visible images, allowing users to see temperature differences as small as 0.1°C. This makes it ideal for applications where visibility is limited, such as in low-light or obscured conditions.
To monitor HOV lanes, the system analyzes the thermal data from vehicles. If only the driver is present, the system flags the vehicle for further review. Chengdu’s HOV monitoring equipment stands out with its yellow color, four separate device boxes, and multiple optical sensors, ensuring accurate detection of each vehicle.
While infrared thermal imaging offers several advantages—such as not relying on visible light and operating effectively over long distances—it also has limitations. It struggles with detailed image resolution, making it difficult to recognize faces or specific features. Additionally, it can be affected by high-speed movement, leading to blurry images. Despite these challenges, experts believe that with machine learning, the system can improve significantly in identifying live passengers.
Beyond HOV enforcement, infrared thermal imaging is being used in various intelligent transportation applications. It helps monitor intersections, detect road events, and assist in pedestrian detection. Companies like FLIR have developed solutions such as "Smart Zebra," deployed in over 20 cities to enhance road safety.
In the automotive industry, thermal imaging is becoming an essential component of driver assistance systems and autonomous driving technologies. Its ability to detect objects in the dark or through smoke and fog makes it a valuable tool for improving road safety.
China started researching infrared thermal imaging in the 1970s, but the technology was mainly used in military applications for many years. Domestic manufacturers faced high costs, long development cycles, and significant risks. In recent years, the technology has seen slow progress due to high costs and import restrictions, limiting its use primarily to specialized sectors.
However, the potential for infrared thermal imaging in the security field is vast. As it complements visible light cameras, it enables all-weather, multi-spectral surveillance. With continued advancements, it could soon become as widespread as traditional camera technology, revolutionizing how we monitor and manage our environments.
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