Deep Learning-Based Digital Character Recognition from 16 x 2 LCD Display Using YOLO v11

Research investigates an advanced solution of character identification through YOLO v11 which operates on extracting characters from 16x2 LCD displays. YOLO v11 detects characters precisely through its advanced object detection features in real-time when processing low-resolution digital displays for accurate results at high speeds. The installed framework brings enhanced automated functionality to embedded system surveillance especially in addition to operating diagnostics and manufacturing automation operations. The system implementation uses display noise handling techniques with optimized character set training before adaptation to limited-resource devices.