International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878 (Online), Volume-10 Issue-2, July 2021 61 Retrieval Number: 100.1/ijrte.B61160710221 DOI: 10.35940/ijrte.B6116.0710221 Journal Website: www.ijrte.org Published By: Blue Eyes Intelligence Engineering and Sciences Publication © Copyright: All rights reserved. Wireless Speed Control of Vehicles with Detection of Person & Zebra Crossing Ann Zenna Sajan, G R Gnana King Abstract: Pedestrians crossing zebra lines are one of the major concerns for road accidents. Nowadays, the number of road accidents increases due to careless driving and pedestrian motions at crosswalks. It is necessary to detect both person and zebra crossings properly and control vehicle speed accordingly. Here in this paper, a suitable solution that improves both detections can be introducing. Here used the TensorFlow Single Shot Detection (SSD) model is the best and most convenient trained model for Zebra line and person detection. A database is taking for the analysis. The input image could process as a crosswalk detection, which has more used for zebra crossing identification via the SSD model. Suppose detected the person and zebra crossings were at the same time. In that case, it will perform commands such as run, slow down, stop, horn, etc., with the help of wireless serial communication Universal Asynchronous Receiver-Transmitter. A Bluetooth command signal matches UART, which provides the vehicle with the necessary control inputs to execute the prescribed topology properly. Simultaneous detection of pedestrians at zebra crossings is a critical factor. It results most efficiently and to identify the person detection. Keywords: Crosswalk, Pedestrian, TensorFlow, Single Shot Detection (SSD), Universal Asynchronous Receiver-Transmitter. I. INTRODUCTION In the present scenario, road accidents have become one of the most challenging problems. It is essential to regulate vehicle speed and fair usage of horn sound to save a life on the roads. For this purpose, the highway department has marked the Zebra line, a crucial traffic sign that provides a safe way for pedestrians at intersections. Pedestrians crossing the Zebra lines are one of the significant concerns related to road accidents. According to the WHO slogan, "Road Safety is no accident" means zero chances for all reasons or factors of accidents. It is possible based on some principles, such as priority, human errors, and public concern. Always taken Safety consideration important. Several factors cause accidents, mainly termed as "DUVERT." DUVERT stands for driver-related, user-related, vehicle-related, environmental-related, road-related, and traffic-related. Manuscript received on June 15, 2021. Revised Manuscript received on July 01, 2021. Manuscript published on July 30, 2021. * Correspondence Author Ann Zenna Sajan*, Department of Electronics and Communication Engineering, Sahrdaya College of Engineering and Technology, Kodakara (Thrissur), India. Email: annzenna95@gmail.com Dr. G R Gnana King, Department of Electronics & Communication Engineering, Sahrdaya College of Engineering and Technology, Kodakara (Thrissur), India. Email: kings.326@gmail.com © The Authors. Published by 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/) Among these user-related issues are mainly concentrated here to do this. Can detect Pedestrians or road users at crosswalks or zebra crossings in many ways. Among Indian states, Kerala had recorded a more severe road accident rate for the past six decades. Almost 1739 road accidents registered in Kerala, which nearly doubled to 3470 in1960. Again in 1975 it further doubled to 6938. The state has recorded an all-time high rate of 41579 accidents in the year 2005. At this stage, State Government started several initiative programs in the areas of road development, black spot improvement, traffic education, and road safety awareness. The government was deeply concerned about the increasing number of deaths and injuries to pedestrians, senior citizens, and persons with disabilities. Various researchers developed in the areas of both person and zebra crossing detections. In past years, different algorithms and methods have proposed improving the road safety system by efficiently detecting pedestrians at zebra crossings and performed and completed a detailed survey of recent research done in this area introduced in this paper a thorough analysis. So, it is necessary to switch over to the more efficient and convenient way of person detection to ensure road safety and save lives. Speeding may be a rising problem in both countryside and city areas. The amount of speed-linked accidents leftovers high. Drivers have to constantly guess their speed and driving to determine a safe rate for the present road conditions, other vehicles, pedestrians, and any of thousand other things that will happen at any moment. Choosing the most straightforward speed has become more challenging as cars became quieter and smoother, and cruising speeds have increased. It has thrown driving safety into the limelight. Many promoted kinds of machinery are advancing to judge the traveling time using worldwide Positioning System, radiofrequency, etc. People commonly employ these sorts of devices to track their destinations. There's a crucial need for the module in highways to provide the number of vehicles and various high-speed adapting vehicles. The most commonly adaptable methodology for zebra line detection is thresholding. Thresholding is the simplest method of segmenting the image. This method has difficulties predicting abrupt changes of pedestrian motions and challenging to implement in mostly differing geographical areas. The proposed method introduced the desired solution to control vehicle speed whenever pedestrians crossed the Zebra line. For all these making realizable, the TensorFlow machine learning algorithm present in the proposed topology.