Designing a Customized Communication System using Raspberry Pi

This work focuses on creating a personalized communication system tailored to the unique needs of individuals with visual impairments, using the versatile Raspberry Pi microcomputer. The goal is to improve accessibility and communication by incorporating innovative features and technologies. The system's central functionality is built around the Raspberry Pi, making use of its computational power and connectivity options. A camera module is integrated to capture visual information, and advanced image recognition techniques are applied to extract meaningful content from the captured images. Optical Character Recognition (OCR) technology is then employed to convert visual information into text. To facilitate effective communication, the system includes text-to-speech conversion capabilities, utilizing the Raspberry Pi's processing power to transform written text into spoken words. This ensures that individuals with visual impairments can receive information in an auditory format, enhancing their accessibility to written content. The design emphasizes simplicity, user-friendliness, and portability to enable individuals with visual impairments to easily carry and operate the system in various settings. Additionally, considerations for power efficiency are integrated, including potential solutions for battery-powered operation to enhance mobility.