EYE-DIRECTION-BASED SAFETY NAVIGATION SYSTEM FOR ELDERLY AND PHYSICALLY CHALLENGED PERSONS

Rajakumaran V, Gayathi M, Dhanakodi V
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Abstract

This research paper includes the eye-direction-based safety automated navigation system that was implemented for the elderly and physically challenged people. The purpose of this navigation system is to avoid the assistance required for physically challenged people. This system, which controls the motorised wheelchair navigation, depends on pupil detection. The sequential images were captured via Bluetooth specs glass using an image processing technique. The system navigates in the directions specified by the user, such as "move to the left," "move to the right," "move forward," and "stop." Additionally, a sensor is fixed in front of the wheelchair to detect objects and avoid faulty navigation. A centralised wireless detector device is also available in a wheelchair for emergency purposes. A Raspberry Pi Model B is a high-speed detection kit controlled by the whole system.
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老年人和残障人士基于眼睛方向的安全导航系统
本研究包括针对老年人和残疾人实施的基于眼睛方向的安全自动导航系统。这个导航系统的目的是为了避免残疾人需要帮助。这个控制机动轮椅导航的系统依赖于瞳孔检测。使用图像处理技术通过蓝牙眼镜捕获序列图像。系统按照用户指定的方向进行导航,如“向左移动”、“向右移动”、“向前移动”和“停止”。此外,在轮椅前面还固定了一个传感器,以检测物体并避免导航错误。轮椅上还装有中央无线探测装置,以备紧急情况使用。树莓派B型是一个由整个系统控制的高速检测套件。
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