Research from Literature

Comprehensive fact sheet on global statistics and impact of visual impairment and blindness, providing foundational context for assistive technology development.

Introduces a novel approach to vision-language pre-training that leverages frozen image encoders and large language models, demonstrating significant improvements in efficiency and performance.

Presents an advanced visual language model incorporating trainable visual experts and enhanced attention mechanisms for improved contextual understanding.

Details the development of a smartphone-based navigation system combining camera input and GPS for obstacle detection and route guidance.

Presents a hybrid approach combining computer vision with ultrasonic sensors for enhanced obstacle detection accuracy.

Explores the application of computer vision techniques for making ATM interfaces accessible to visually impaired users.

Investigates OCR implementation for ATM screen content recognition, addressing challenges in varying display conditions.

Presents the latest iteration of YOLO object detection framework, featuring improved accuracy and real-time performance capabilities.

Explores techniques for optimizing YOLO models through domain-specific training for enhanced real-world performance.