Road Sign Recognition System on Raspberry PiFall 2015Enis Bilgin Advisor: Dr. Stefan Robila
ContentsMotivation of the projectProblem definitionMethodologyResultsSummaryConclusions and Future work
MotivationSpeed sign recognition has great potential to save time, money and livesCould be used for mapping, tagging locationsCan be easily integrated and maintained with latest technologies (internet, mobile data services etc.)
ObjectsTo create a system with an affordable embedded system (Raspberry Pi 2 Model B)Detecting and Recognizing Speed Signs from Video Port of the Raspberry PiExperimenting Techniques within the Raspberry Pi CapabilitiesUsing GPS module to define coordinates
Similar ProjectsMobile EyeTraffic Sign Recognition and Localization for Databases of Traffic SignsADAS etc.
Hardware RequirementsRaspberry Pi Model 2 Model BA Camera ModuleA GPS ModulePeripheral Units
Setting Up Raspberry Pi 2 Model B
Software RequirementsAn Operating System (Raspbian)Linux Libraries (libformat-dev etc.)File Transfer Protocol (Netatalk)OO Programming Language (Python 2.7)Computer Vision Library (OpenCV 3.0)Open Source Optical Character Recognition Engine (Tesseract OCR)
Methodology
MultithreadingWhy multithreading?Multithreading differs in Python comparing to other object oriented languages why?Does it really make algorithm to run faster?Is it worth using multithreading instead of sequential algorithm?
