Description:Field of the Invention:

The domain used here is IOT. Traditional accident detection system are out dated, they require additional source to intimate to any saved contact person or to hospital about accident, And do not have cloud technology to store data, to analyse the cause of accident. To solve above problem we have implemented “Black Box for Automobiles”.In this project we focused on Providing safety to vehicle and to the person in the vehicle. MEMS sensor is used to detect the accident, MQ3 sensor is used to check the presence of alcohol,if any then it will send alerts to saved contact person using GSM,simultaneously it update data into cloud. Data in cloud is usefully to analyses the cause.

Background of the invention:

The background of the invention to build an accident detection system lies in the need to enhance road safety and reduce the impact of accidents. Road accidents have been a major cause of injuries and fatalities worldwide, leading to significant human and economic losses. Developing an effective system that can detect accidents promptly can greatly improve emergency response times and potentially save lives. The invention of an accident detection system is driven by advancements in technology, particularly in the fields of sensors, data analysis, and communication. Various components and technologies are integrated to create a comprehensive system capable of detecting and reporting accidents in real-time.
One crucial component of an accident detection system is the use of sensors. These sensors can be placed in vehicles, on roads, or in infrastructure such as traffic lights. They are designed to detect abnormal events or patterns associated with accidents, such as sudden deceleration, abrupt changes in vehicle direction, or the activation of airbags. The sensors capture relevant data and transmit it to a central system for analysis.
Furthermore, the accident detection system incorporates communication capabilities. Once an accident is detected, the system can automatically alert relevant parties, such as emergency services, law enforcement, and nearby drivers. This real-time communication allows for faster response times and can provide critical information to emergency responders, enabling them to reach the accident scene quickly and with the necessary resources.

Another key aspect of the invention is data analysis. Advanced algorithms and machine learning techniques are employed to process the data received from the sensors. The system can identify specific patterns or anomalies that indicate an accident has occurred. This analysis can help differentiate between regular events and actual accidents, reducing false alarms and ensuring accurate detection.
Overall, the background of the invention to build an accident detection system stems from the imperative to improve road safety by leveraging technological advancements. By combining sensors, data analysis, and communication capabilities, the system aims to detect accidents promptly, facilitate faster emergency responses, and ultimately reduce the severity and impact of accidents on the road.

Detailed Description of the Invention:

One of the rarest and value added creation. It is most widely used commodity today, due to increasing number of population,Vehicle is used as mode of communication, for our travel, on a regular basis.
As India is now becoming digital India,Proposed system will contribute to digital India program. Existing system is used to detect accidents by using vibration. it only measures impact or intensity of vibrations, and sends alerts to saved contact as accident is occurred in so and so location.
It does not Contain alcohol Sensor and cloud to store the data for analyzing cause of the the accident. If the accident occurred in crowded areas there are source like man support, mobiles to inform about accident .If any accident is occurred in hill areas or remote areas, there won't be any kind of support to inform about accidents, hence it increases risk of life.
In order to avoid all those problems we are proposing "Black Box for Automobiles. Black Box for automobile contains Various sensors Black Like MEMS, MQ3 sensor and components like GPS & GSM.
MEMS (Micro - Electro mechanical sensor) is used to detect the accident. MEMS can sense Kind values like gyroscopic values (tilting) and accelerometric Values when ever vehicle meet with an accident. MEMS Can read this kind of data and will upload to simultaneously. MQ3 sensor is a family of gas sensor, It uses chemiresistor technology to identify alcohol presence. Threshold Value of MQ3 Sensor in our project is 150 PPM. If in case alcohol presence is beyond threshold Value, immediately it will send alert to saved contact person and simultaneously to cloud.
This system uses GPS ( Global Positioning system) to identify accident location, GSM is used to send Alert message.Since we are using using it accurately even in low network areas like hill stations and remote areas.
, C , C , Claims:We claim that,
1.Response time of the product is less than 2 seconds.
2.20% cost effective than the existing systems.
3.95% of accurate detection of results.
4.Safety measures are significantly improved compared to existing method.