International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 06 | June 2020 www.irjet.net p-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 465 Accident Detection and Notification System using GPS and GSM navigation technology Dilkhush 1 , Nikhil Pal 1 , Kedar Nath Parida 1 , Nishant Singh 1 , Dr. M K Jayanthi Kannan 2 1 Student, Dept. of computer science Engineering, Jain University, Bengaluru-Karnataka, India 2 Professor, Dept. of computer science Engineering, Jain University, Bengaluru-Karnataka, India ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - In the present day, the rate of accidents can be increased rapidly. Due to employment the usage of vehicles like cars, bikes can be increased, because of this reason the accidents can be happened due to over speed. , because of this reason, the accidents can be happened due to over speed. Not only the demand for performance and quality of automobiles increases rapidly but there is also demand for an anti-accident system for vehicles. The main cause of accidents is a high speed, drink and drive, diverting minds, over stress, and due to electronic gadgets. This project deals with accident detection that occurs due to the carelessness of the person who is driving the vehicle. This introduces accident detection and notification system which helps the person who is driving the vehicle. If the person is not in a position to control the vehicle then the accident occurs. Once the accident occurs to the vehicle this system will send information to the registered mobile number. GPS and GSM based accident identification and information system are focusing on accident happened during traveling especially to save the life of many people’s by reporting to hospitals and owners of the system. Key Words: Vehicle, Gyro sensor, GSM module, GPS module, Smart phone, SMS notification 1. INTRODUCTION Internet of Things is a domain of interrelated computing devices, digital and mechanical machines, objects, animals, or people that are provided with unique identifiers and the ability to transfer data over a network without requiring human-to-human interaction. It is a computing concept that describes the idea of everyday physical objects being connected to the Internet to enable communication between things and people. IoT describes a world where we connect and communicate in an intelligent fashion. The devices can be any objects like sensors, electronic devices, smart-phones, Internet TVs, etc. For the objects to collect and exchange data electronics, software, sensors, and network connectivity are embedded into them. With an increased level of sophistication in basic appliances and increasing concerns for environmental sustenance demands for the development of a smart system that is self-aware of its surroundings and can analyze and respond with its own discretion without needing the aid of a human factor, called Automated systems. The proposed system focuses on the development of a home automation system based on the internet of things which allows the user to automate all the devices and appliances of home and merge them to provide seamless control over every side of their home. The data can be used to predict the user’s behavior custom with the development of a machine learning algorithm, and then the prediction results can be employed to enhance the intelligence of a smart home system. The designed system not only gives the sensor data but also processes it according to the requirement, for example switching on the light when it gets dark and it allows the user to control the household devices from anywhere. The cloud is used to send the sensor data through Wi-Fi module and then Machine Learning Algorithm is implemented which decides the output of the electronic devices also, it is used to achieve the power control and local data exchanging which provide the user interface, stores all the information corresponding to the specific house, and query the function information of an individual home appliance. 1.1 Related work In this paper survey, IoT based vehicle accident detection and rescue in order system is developed. This discovers the fault of the vehicle and sends out the place in a rank of the calamity residence to the vehicle owner, nearby hospital, and police force located by the use of a network service. The announcement between the web server and hardware trick is customary by way of GSM/GPRS shield, and the place is located by means of the GPS shield. In this thesis manufactured a novel factor-based vehicle tracking algorithm, accordingly make something stand out and footprint a hardly any poignant articles. The hardware ruse by means of sensors and mass in the mesh server, and fire notification to diverse users by means of network application [1]. Integrating the various embedded devices and systems in our environment enables an Internet of Things (IoT) for a smart city. The IoT will generate a tremendous amount of data that can be leveraged for safety, efficiency, and infotainment applications, and services for city residents. The management of this voluminous data through its lifecycle is fundamental to the realization of smart cities. Therefore, in contrast to existing surveys on smart cities we provide a data-centric perspective, describing the fundamental data management techniques employed to ensure consistency, interoperability, granularity, and reusability of the data generated by the underlying IoT for smart cities. Essentially, the data lifecycle