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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