- On March 2025, SNS Insider reported that AI-powered thermal imaging solutions are improving accuracy and efficiency across various sectors, including manufacturing, energy, utilities, and security. The integration of AI, IoT, and real-time analytics supports predictive maintenance and smart energy management, driving the growth of the thermal imaging market
- On November 2024, a study explored the use of ultra-low-resolution thermal cameras for rotational odometry measurements in navigational devices like drones and rovers. The approach demonstrated robustness to lighting conditions and cost-effectiveness compared to higher-resolution thermal cameras, offering a novel application of thermal imaging in autonomous navigation.
- On May 2024, the VisTA-SR method was introduced to enhance the temperature accuracy and image quality of low-cost thermal imaging cameras for agricultural applications. By combining RGB and thermal images using deep learning networks, this method addresses challenges of image enhancement in agriculture, paving the way for more accessible and efficient thermal imaging solutions in the field.
- On February 2025, researchers introduced an end-to-end pipeline that combines deep learning-based temperature estimation and super-resolution techniques to enhance the performance of low-cost uncooled infrared cameras. This advancement enables high-quality thermal information from affordable devices, facilitating applications in precision agriculture such as irrigation monitoring and crop health assessment
