Smart Electric Wheelchair for Real-time Obstacle Avoidance

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dc.contributor.authorDIFALLAH Fayrouz
dc.date.accessioned2025-04-27T11:44:50Z
dc.date.issued2024-06-15
dc.description.abstractThe project involves developing a Smart Electric Wheelchair (SEW) to improve mobility and independence for individuals with physical disabilities. It uses a Raspberry Pi 4 Model B for processing, an L298 dual H-bridge motor driver, also ultrasonic sensors for obstacle detection, and servo motors for sensor positioning. Machine learning algorithms enhance real-time obstacle prediction and navigation safety. The system includes a robust communication subsystem and an Android application for user control.
dc.identifier.citationDIFALLAH Fayrouz, "Smart Electric Wheelchair for Real-time Obstacle Avoidance", Engineer Project, HNS-RE2SD, 2024.
dc.identifier.urihttp://dspace.hns-re2sd.dz:4000/handle/123456789/15
dc.language.isoen
dc.subjectSmart Electric Wheelchair
dc.subjectreal-time obstacle avoidance
dc.subjectRaspberry Pi
dc.subjectmachine learning
dc.subjectsensor fusion
dc.subjectmobility assistance
dc.titleSmart Electric Wheelchair for Real-time Obstacle Avoidance
dc.typeThesis

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