Accident prevention using an auto braking system and accident detection using internet of things

2021 ◽  
pp. 142-148
Author(s):  
Gitanjali Mehta ◽  
Yogesh Mishra ◽  
Uzair Ashraf ◽  
Shubham Dubey ◽  
Manoj Singh ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Accident Prevention ◽  
Braking System ◽  
Accident Detection

Design of Internet of Things-Based Accident Detection System

2020 ◽  
pp. 35-44
Author(s):  
Satyam Tayal ◽  
Harsh Pallav Govind Rao ◽  
Suryansh Bhardwaj ◽  
Samyak Jain
Keyword(s):  
Internet Of Things ◽  
Detection System ◽  
Accident Detection

scholarly journals Smart helmet using internet of things

2021 ◽  
Vol 10 (2) ◽  
pp. 90
Author(s):  
Mohamed A. Torad
Keyword(s):  
Emergency Department ◽  
Internet Of Things ◽  
Detection System ◽  
Electrical Signal ◽  
Piezoelectric Sensors ◽  
World Health ◽  
The World ◽  
Health Organization ◽  
Tracking Device ◽  
Accident Detection

The rate of death relative to the size of the world's population has remained constant, according to the world health organization (WHO). WHO targets to minimize the ratio of road death to the half by 2022. This paper discusses a way for accident detection and notification which can decrease this ratio. Piezoelectric sensors used inside a helmet to detect degree of trauma which interpret into electrical signal that used to determine if trauma is serious or not based on predetermined threshold. This trauma can be a result of any type of accidents. So, a detection system established to request immediate help from relatives and emergency department by sending SMS to them contains the longitude and latitude. In normal mode helmet can work as tracking device for the relatives.

Smart Accident Detection and Prevention System (SADPS)

2019 ◽  
pp. 105-119
Author(s):  
Jeyabharathi D. ◽  
Kesavaraja D. ◽  
Sasireka D. ◽  
Barkath Nisha S.
Keyword(s):  
Object Tracking ◽  
Monitoring System ◽  
Video Surveillance ◽  
Background Subtraction ◽  
Accident Prevention ◽  
Police Station ◽  
Prevention System ◽  
Novel Approaches ◽  
Accident Detection

The two objectives of the smart accident detection and prevention system (SADPS) are 1) accident prevention and 2) accident detection. Based on the survey, 1.3 million people die every year due to roadway accidents. The main reason for this type of accident is speeding. So, the proposed SADPS focused on finding the speed parameters of each vehicle and giving notification to speeding vehicles through SMS that can be used to prevent accidents. The second objective is accident detection. For this task, each vehicle accelerometer values will be taken by the SADPS system. When an accident occurs, the location as well as the related details are sent to the SADPS system. This proposed system takes the immediate remedy by alerting the nearby police station and hospitals. Proposed SADPS also acts as a video surveillance and monitoring system. Automatic background subtraction and object tracking is done with the help of novel approaches.

scholarly journals Internet of Things based Accident Prevention and Detection System

2018 ◽  
Vol 7 (2.4) ◽  
pp. 85 ◽  
Author(s):  
K Meena ◽  
C Amuthadevi ◽  
G Sai Kumar
Keyword(s):  
Internet Of Things ◽  
Detection System ◽  
Human Life ◽  
Accident Prevention ◽  
Ambulance Service ◽  
Motion Sensor ◽  
Vehicle Performance ◽  
Police Station ◽  
Recent Growth ◽  
Novel Approach

 Recent growth in technology makes our life faster and easier. This development in technologies leads to enhance the traffic hazards. In this paper, Internet of Things based accident prevention and detection system is proposed to deduce accidents and save human life. The vehicle performance has been continuously monitored for safety purposes. This technique is annoying to maintain speed balance to avoid accident and provide safety to the driver. Hence, a novel approach is proposed to avoid accidents and save the victims while accidents occur. Sensors are exploited to give alarm 'ON' when distance between two vehicles is too short. If accident happens, then the camera is automatically turned on and captures the images around 180 degree angles. This emergency alert information including the location is transferred to nearest police station, ambulance service and relatives through GSM modem. The major component of the project includes a Arduino, motion sensor, touch sensors, relay and GSM modem.

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