Development of an Indonesian Visual-to-Speech System Based on Yolov11, Qwen2.5, and MobileNetV4 for the Visually Impaired
Visually impaired individuals face significant barriers in perceiving their surroundings and conducting cash transaction independently due to their visual limitations. This study develops an android-based assistive system that integrates three capabilities into single pipeline: object detection, contextual visual descr...