To Identify and Recognize the Object for Traffic Analysis System using Deep Learning
C. Ashwini1, Satyam Sharma2, Arpit Srivastava3, Sakshi Sinha4
1Ms. C. Ashwini, Assistant Professor, Computer Science And Engineering Department, in SRM Institute of Science And Technology, Ramapuram, Chennai.
2Satyam Sharma, Pre-Final Year Student of B.Tech , Computer Science And Engineering in SRM Institute of Science And Technology, Ramapuram, Chennai.
3Arpit Srivastava, Pre-Final Year Student of B.Tech, Computer Science And Engineering in SRM Institute of Science And Technology, Ramapuram, Chennai.
4Sakshi Sinha , Pre-Final Year Student of B.Tech Computer Science And Engineering in SRM Institute of Science And Technology, Ramapuram, Chennai.
Manuscript received on September 16, 2019. | Revised Manuscript received on 24 September, 2019. | Manuscript published on October 10, 2019. | PP: 1621-1624 | Volume-8 Issue-12, October 2019. | Retrieval Number: L31551081219/2019©BEIESP | DOI: 10.35940/ijitee.L3155.1081219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The object identification has been most essential field in development of machine vision which should be more efficient and accurate. Machine Learning & Artificial Intelligence, both are on their peak in today’s technology world. Playing with these can leads towards development. The field has actually replaced human efforts. With the approach of profound learning systems (i.e. deep learning techniques), the precision for object identification has expanded radically. This project aims to implement Object Identification for Traffic Analysis System in real time using Deep Learning Algorithms with high accuracy. The differentiation among objects such as humans, Traffic signs, etc. are identified. The dataset is so designed with specific objects which will be recognized by the camera and result will be shown within seconds. The project purely based on deep learning approaches which also includes YOLO object detection & Covolutionary Neural Network (CNN). The resulting system is fast and accurate, therefore can be implemented for smart automation across global stage.
Keywords: Deep Learning, Algorithms, Identify Traffic Analysis
Scope of the Article: Deep Learning