Infrared Sensor

Infrared (IR) sensors are experiencing a surge in applications, driven by their cost-effectiveness, low power consumption, and privacy-preserving capabilities. Current research focuses on optimizing deep neural networks (DNNs), particularly convolutional neural networks (CNNs), for efficient processing of IR data in tasks like people counting, activity recognition, and 3D reconstruction. These advancements are enabling novel applications in robotics, augmented reality surgery, and remote sensing, improving accuracy and efficiency while minimizing energy consumption and respecting user privacy.