Smart Walker

Lama Enad Hag; Omar Alaa Jarbou

Smart Walker

dc.contributor.author	Lama Enad Hag
dc.contributor.author	Omar Alaa Jarbou
dc.date.accessioned	2026-07-06T09:34:32Z
dc.date.issued	2026-06-11
dc.description	--
dc.description.abstract	Smart Walker is an intelligent mobility assistance system developed to support visually impaired and elderly individuals during daily navigation. The project aims to enhance user safety, independence, and environmental awareness through the integration of sensing, embedded systems, and artificial intelligence technologies. The system combines an OAK-D camera for object detection and recognition with a LiDAR sensor for obstacle detection and distance measurement. Sensor data are processed by a Raspberry Pi to determine safe navigation paths, while an Arduino Mega manages steering assistance, braking control, authentication, and monitoring functions. Real-time voice guidance is provided to inform users about surrounding obstacles and detected objects. Additional features include RFID-based authorization, banknote recognition, battery monitoring, guardian monitoring, and automatic lighting control. Experimental testing demonstrated the system's ability to reliably detect obstacles, recognize objects, provide navigation assistance, and perform integrated safety functions. The developed prototype offers a practical and cost-effective assistive solution that improves mobility, safety, and quality of life for visually impaired and elderly users.
dc.description.sponsorship	--
dc.description.statementofresponsibility	This project addresses these challenges by designing and implementing a Smart Walker system that integrates object recognition, obstacle detection, voice guidance, steering assistance, safety mechanisms, and user authentication into a single platform. The system utilizes an OAK-D camera to recognize and classify surrounding objects, while a LiDAR sensor continuously measures distances and detects obstacles. A Raspberry Pi processes sensor data and generates navigation decisions, while an Arduino Mega controls steering assistance, braking mechanisms, monitoring functions, and other hardware components.
dc.description.tableofcontents	Objectives of this project include: 1. To design and develop an intelligent walker that assists visually impaired and elderly users during navigation. 2. To detect and identify surrounding objects using computer vision techniques. 3. To detect obstacles and estimate safe navigation paths using LiDAR sensing. 4. To provide real-time voice guidance and environmental awareness. 5. To implement steering assistance and safety mechanisms that enhance user protection. 6. To integrate Raspberry Pi, Arduino Mega, camera systems, and sensors into a unified platform. 7. To implement user authentication and monitoring features. 8. To evaluate the system under different navigation scenarios and operating conditions
dc.identifier.citation	--
dc.identifier.other	12112067
dc.identifier.uri	https://hdl.handle.net/20.500.11888/21139
dc.language.iso	en
dc.publisher	Aladdin Masri
dc.relation.ispartofseries	--; --
dc.supervisor	Dr. Aladdin Masri
dc.title	Smart Walker
dc.title.alternative	--
dc.type	Graduation Project
person.telephone	972568406041