02385nam a2200277 i 4500003000500000005001700005008004100022040002000063100003800083245010800121300001600229336002100245337002500266338002300291502009400314504004100408520136700449700003201816700002901848700004201877700004101919720003701960720003801997720003902035720003302074CSPC20240117175641.0240117b2022    ph a     b    000 0 eng d  cCSPCaCSPCbeng  aDeres, Samantha Amor P.,eauthor.1 aRecognition of road sign using convolutional neural netwrok / cSamantha Amor P. Deres, [and 4 others].  a104 leaves.  atext2rdacontent  aunmediated2rdamedia  avolume2rdacarrier  aUndergraduate Theses (BSCS) - Computer SciencecCamarines Sur Polytechnic Colleges, 2022.  aIncludes bibliographical references.3 aThese days, an increasing number of tasks that require image recognition use convolutional neural networks. This research suggested utilizing a convolutional approach to implement road sign recognition and it focused on dealing with uploading an image and quickly identifying which kind of road sign is present in which class of an input image. Generally, this study aimed to develop a web application that uses a Convolutional Neural Network (CNN) algorithm to recognize road sign images. Additionally, a simple and easy prototype for recognizing and classifying road signs was created using CNN algorithms in order to achieve more accurate recognition results. After the training and testing process, the trained CNN model achieved 80% performance. The model's evaluation in continous testing and training, which shows that CNN is capable of recognizing images, shows that it is successful in predicting and recognizing road signs. This evaluation was achieved using the sklearn and keras modules of Python that provides a Python interface for CNN models. Furthermore, the proposed prototype achieved good performance for road sign recognition, which provides a better recognition performance hence, according to the experimental results on the Convolutional Neural Network and according to the generated average analysis, it is suitable for image recognition.1 aMunar, Caroline T.,eauthor1 aPrades, Dave M.,eauthor1 aSaunar, Zyndrek John Paul D.,eauthor1 aTabuena, Brianna Carlota L.,eauthor1 aOñate, Joseph Jessie,eadviser1 aOnesa, Rosel O.,epanelist, chair1 aFortuno, Kaela Marie N.,epanelist1 aIbo, Allan O. Jr.,epanelist