000 02544nam a2200325 i 4500
003 CSPC
005 20240117175641.0
008 240117b2022 ph a b 000 0 eng d
040 _cCSPC
_aCSPC
_beng
090 _aUTH BSCS D444r 2022
100 _aDeres, Samantha Amor P.,
_eauthor.
245 1 _aRecognition of road sign using convolutional neural netwrok /
_cSamantha Amor P. Deres, [and 4 others].
300 _a104 leaves.
336 _atext
_2rdacontent
337 _aunmediated
_2rdamedia
338 _avolume
_2rdacarrier
502 _aUndergraduate Theses (BSCS) - Computer Science
_cCamarines Sur Polytechnic Colleges, 2022.
504 _aIncludes bibliographical references.
520 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.
700 1 _aMunar, Caroline T.,
_eauthor
700 1 _aPrades, Dave M.,
_eauthor
700 1 _aSaunar, Zyndrek John Paul D.,
_eauthor
700 1 _aTabuena, Brianna Carlota L.,
_eauthor
720 1 _aOƱate, Joseph Jessie,
_eadviser
720 1 _aOnesa, Rosel O.,
_epanelist, chair
720 1 _aFortuno, Kaela Marie N.,
_epanelist
720 1 _aIbo, Allan O. Jr.,
_epanelist
942 _2ddc
_cUM
_n0
_hBSCS
_iD444r
_kUTH
_m2022
999 _c26843
_d26843