A Real Time Pothole and Speed Breaker Detection Using Deep Learning

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creativework.keywordsPothole Detection, speed bump detection, Convex Hull, ,Real time video Processing
dc.contributor.advisorDr. Shahnewaz Siddique
dc.contributor.authorZahid Hasan
dc.contributor.authorTasmia Rahman Shahidi
dc.contributor.authorSamsoon Nahar Shampa
dc.contributor.id1510846042
dc.contributor.id1521367642
dc.contributor.id1511148042
dc.coverage.departmentElectrical and Computer Engineering
dc.date.accessioned2025-06-25
dc.date.accessioned2025-06-25T08:43:29Z
dc.date.available2025-06-25T08:43:29Z
dc.date.issued2019-04-30
dc.description.abstractThe road accident rate in Bangladesh is increasing day by day due to various reasons. One of these reasons are poor road conditions. Unwanted potholes, missing pitches, improper speed breakers, unfinished manhole covers and slabs transform many roads into obstacles courses thus greatly increasing the probability of serious accidents. However, the arrival of new assistive driving technologies hold much promise in making the roads the safer and avoid serious accidents and damages. The main goal of our project is to create real-time assistive technologies to detect potholes and speed breakers for on-road drivers in general but especially for bikers and cyclists. Our system will provide drivers with advance notification about upcoming potholes and speed breakers and thus assist in avoiding unwanted accidents. Our system will provide drivers sufficient time to react to and avoid these impending road hazards
dc.description.degreeUndergraduate
dc.identifier.cd600000084
dc.identifier.urihttps://repository.northsouth.edu/handle/123456789/1182
dc.language.isoen_US
dc.publisherNorth-south University
dc.rights© NSU Library
dc.titleA Real Time Pothole and Speed Breaker Detection Using Deep Learning
dc.typeProject
oaire.citation.endPage63
oaire.citation.startPage1
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