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IoT Based Vehicle Accident Detection, Tracking and License Plate Recognition using Deep Learning


Impu V , Vidyavardhaka College of Engineering; D Khasim Vali, Vidyavardhaka College of Engineering; Aravindan M B, Vidyavardhaka College of Engineering; Keerthi V Trimal, Vidyavardhaka College of Engineering; Nisarga K, Vidyavardhaka College of Engineering


Convolutional neural networks, Deep learning, Image Processing, Character segmentation


The number of increasing cars have resulted in the street mishaps. Road accidents is cause of global burden of public health in a country like India. One of the reason for the death of victim is that the ambulance reaching to the accident spot late. To save the life of the person or to rescue him from any further more damage a system is necessary. In order to put it into force we design a GPS model which send the location coordinates using IoT to the respective registered numbers and nearest hospital within the accident spot. The proposed system is designed using deep supervised Machine learning model. It has three models 1. Accident detection and alerting system 2. License plate recognition 3. Character segmentation and recognition of the characters of the License Plate and alerting. Deep learning techniques are used for License plate recognition. A camera which is present in the car will capture the image of the car or vehicle which caused accident. Pre-processing, conversion of image to binary image and contour detection is carried out. The main propaganda is to design an app which is installed in user’s mobile with registered numbers. The app will be connected to the sensors for detecting the accident.

Other Details

Paper ID: IJSRDV8I10116
Published in: Volume : 8, Issue : 1
Publication Date: 01/04/2020
Page(s): 40-44

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