A Low-Cost Embedded Pupillometry System Enabling Real Time Measurement and On Device Clinical Visualization

Pupillometry plays a crucial role in neurological assessments, still the existing automated systems often require very complex setups, heavy offline processing, or expensive and heavy hardware. This paper describes and presents a novel portable pupillometer system that integrates real time image processing with immediate LCD feedback, giving quick outputs, eliminating the need for post processing. The proposed system uses a Raspberry Pi-based architecture that uses the captured infrared images for pupil detection and implements an innovative calibration routine that ensures measurement accuracy across varying conditions. Unlike the traditional systems that store the data and rely on post processing for later analysis, our approach provides instant, calibrated pupil diameter measurements, which are displayed on an integrated LCD screen, making it suitable for point of care calibration corrected measurements. The system can be calibrated multiple times, increasing he accuracy and processes the images at 30 frames per second. The key innovations that the systems provide are: (1) real time calibration corrected measurements, (2) standalone operation without external com putting devices, and (3) immediate visual feedback for clinical decision making. Initial results demonstrate the system’s ability to detect pupil changes suitable for clinical applications that help to detect neurological disorders, intracranial pressure, and evaluate autonomic nervous system functions