研究目的
To develop a device that can provide an efficient visual platform to enhance the perception of the surroundings, for a visually impaired user.
研究成果
Virtual Eye provides an efficient visual platform for visually impaired users, enhancing their perception of surroundings through real-time image processing and audio feedback. Future improvements could include expanding the database for better recognition accuracy and integrating more advanced sensors for obstacle detection.
研究不足
The system's effectiveness may be limited in environments with high noise levels or when the database lacks sufficient pre-stored data for accurate recognition.
1:Experimental Design and Method Selection:
The system uses real-time image and video processing to analyze and compare data with a pre-stored database for image recognition.
2:Sample Selection and Data Sources:
Images are captured using a head mount camera for real-time processing.
3:List of Experimental Equipment and Materials:
Includes a Raspberry Pi Non-Infra-Red camera, Raspberry Pi 3 Model B, Arduino NANO, GSM SIM900A module, GPS Neo 6m module, and bone conduction headphones.
4:Experimental Procedures and Operational Workflow:
The camera captures images, which are processed by the Raspberry Pi cluster and compared with the database. Audio output is provided through bone conduction headphones. A distress alert mechanism sends messages with the user's current location.
5:Data Analysis Methods:
The system uses image processing algorithms for face detection and recognition, and GPS for location tracking.
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