Technical Name To develop a Guidance Robot for Blind based on image processingdeep learning
Project Operator National Taiwan Ocean University
Project Host 謝易錚
Summary This theme is designed to implement the robot's appearancepractical functions. Apply PSPNet to detect the walkable planeYolo to detect obstacles, so that the robot has the autonomous obstacle avoidance function, informing more information about the environmental obstacles around the visually impaired,apply CNN to locate indoor position with self-built indoor database.
Market Potential Analysis 目前學、業界和政府鮮少推動幫助視障者相關的政策,對於視障者的導盲器具也是相對應的稀少,且功能都尚未齊全或是採用傳統的超音波、紅外線方式進行輔助導盲,對於取得環境資訊以及室內定位這些方面功能,現行系統鮮少有提供這方面的服務,透過本主題進行導盲機器人實作將實現人工智慧應用在視障者輔助方面。
Industrial Applicability This topic applies three deep learning network architectures (PSPNet, Yolo,CNN) for plane detection, object detection,indoor positioning, integrates the three aforementioned functions to achieve the guiding function. The network architecture can be applied to image recognition
Keyword guided robot guide aid tool embedded system artificial intelligence deep learning plane detection object detection voice system indoor positioning image processin
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