The document presents the design of a wireless blackbox for cars, utilizing sensors and GPS technology to enhance road safety and emergency response. It integrates features such as accident detection, fire hazard alerts, and GPS tracking, while promoting energy sustainability through a solar-powered system. The project aims to leverage IoT advancements to create safer vehicles and improve monitoring of driver behavior.

1. Wireless Blackbox for Cars Using Sensors and GPS Module
SUBMITTED BY : Under the Guidance of
DADI SAMPATH KUMAR (21NT1A0413) M.Bhaskara Naidu, M.Tech
GUMMALA GANESH (21NT1A0421) Assistant Professor
BODASINGI JAGADEESH (21NT1A0409) ECE Dept.
P.LEELA SHANKAR (21NT1A0444)
DINGI BHARGAVI (21NT1A0415)
DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING

2. INTRODUCTION TO PROJECT :
In today's world, road safety remains a significant concern due to the increasing number of vehicles
and associated accidents. The Wireless Blackbox for Cars Using Sensors and GPS Module project is a
comprehensive system designed to enhance vehicle safety and monitoring. This project integrates
advanced technologies to record, analyze, and respond to critical events such as accidents, fire
hazards, and vehicle tracking.
The system aims to reduce the impact of road accidents by providing real-time monitoring and
immediate alerts to emergency services and designated contacts. It now includes a fire sensor for early
fire detection, improving safety measures in case of engine fires or post-accident hazards.
Additionally, the integration of solar charging provides an eco-friendly and independent power source,
ensuring the system's continuous operation without relying solely on the vehicle's battery.
This project not only focuses on accident reconstruction and driver behavior monitoring but also
emphasizes energy sustainability and comprehensive safety. By leveraging IoT technologies, GPS,
GSM, sensors, and renewable energy solutions, this enhanced system represents a step forward in
creating smarter and safer vehicles for a more connected automotive ecosystem.

3. LITERATURE SURVEY :
1.Accident Detection and Reporting System Using GPS and GSM Module"
This paper focuses on using GPS and GSM for real-time accident detection and reporting. It addresses limitations
in traditional reporting methods, emphasizing automated communication with emergency services. The system is
designed for low-cost, quick deployment to enhance accident response times.
2.Wireless System for Vehicle Accident Detection and Reporting using Accelerometer and GPS"
The study integrates accelerometer sensors with GPS for accurate accident detection in vehicles. It aims to
automate the process of accident reporting through wireless communication, improving response efficiency. This
system reduces human intervention and ensures timely emergency notifications.
3.An Efficient Vehicle Accident Detection Using Sensor Technology"
This paper explores the use of multiple sensor technologies (accelerometer, gyroscope) for detecting vehicle
accidents efficiently. It aims to improve detection accuracy by integrating various sensors for better real-time data
processing. The research highlights advancements in sensor fusion for reliable accident identification.
4.Positioning and Tracking Construction Vehicle in Highly Dense Urban Areas and Building Construction
Sites"
This paper discusses the challenges of vehicle tracking in urban areas with dense infrastructure, where GPS
signals can be weak or unreliable. It proposes using sensor fusion techniques to improve tracking accuracy. The
research targets construction vehicles, ensuring precise localization in complex environments.

4. LITERATURE SURVEY (CONT) :
5.Design & Implementation of Vehicle Black Box for Driver Assistance and Alert"
This study designs a vehicle black box system to monitor driver behavior and provide real-time alerts. It
focuses on enhancing driver assistance for safer driving by tracking speed, braking, and location. The system
helps prevent accidents by offering instant feedback on unsafe behaviors.
6.Car Black Box System for Accident Prediction and Crash Recovery"
This research presents a car black box designed for accident prediction and crash recovery. It integrates real-
time data analysis from sensors to predict potential crashes and provide vital information for emergency
response. The system aims to enhance both accident prevention and post-crash recovery efficiency.

5. ARDUINO
UNO
ALCOHOLIC SENSOR
ULTRA SONIC
MEMS SENSOR
LM35(TEMP)
FIRE SENSOR
GSM
BUZZER
GPS
LCD
POWER
SUPPLY
SOLAR
PANEL
MOTOR DRIVER
LEFT MOTOR JRIGHT MOTOR
BLOCK DIAGRAM :

6. CIRCUIT DIAGRAM :

7. COMPONENTS USED :
ARDUINO UNO :
Arduino is an open-source microcontroller platform that allows users to design and build interactive
electronic projects. It works by reading inputs (such as sensors) and controlling outputs (like motors or
LEDs) through simple programming in the Arduino IDE.
ALCOHOL SENSOR :
An alcohol sensor is a device used to detect the presence of alcohol vapor in the air, typically using a
semiconductor or electrochemical sensor. When alcohol is detected, the sensor changes its electrical
properties, triggering an output signal.
MEMS SENSOR :
A MEMS (Microelectromechanical Systems) sensor is a tiny, integrated device that combines
mechanical and electrical components on a single microchip. It detects physical phenomena like
acceleration, pressure, or temperature and converts them into electrical signals for various applications.
LM35 (TEMP) :
The LM35 is an analog temperature sensor that provides a linear output voltage proportional to the
temperature in Celsius. It has a high precision, operates over a wide range (from -55°C to +150°C), and
outputs 10mV per °C, making it ideal for applications requiring accurate temperature measurements.

8. COMPONENTS (CONT) :
FIRE SENSOR :
A fire sensor is a device used to detect the presence of fire or smoke in an environment, typically using
infrared (IR), ultraviolet (UV) rays. When a fire or smoke is detected, the sensor triggers an alarm or
activates safety systems, helping to prevent fire damage or loss of life.
GSM :
GSM (Global System for Mobile Communications) is a digital mobile communication standard used for
transmitting voice, data, and SMS messages over cellular networks. It allows devices, such as phones
and IoT systems, to communicate by sending and receiving signals through base stations, enabling
remote communication and monitoring.
GPS :
GPS stands for Global Positioning System, which is a satellite-based navigation system that allows
devices to determine their exact location anywhere on Earth.
LCD :
LCD (Liquid Crystal Display) is a flat-panel display technology that uses liquid crystals sandwiched
between two layers of glass or plastic. The liquid crystals align to control light passage, creating images
or text.

9. BUDGET ANALYSIS : Estimated Budget-
S.NO COMPONENTS QUANTITY PRICE RANGE
1 ARDUINO UNO 1 1000
2 ALCOHOLIC SENSOR 1 350
3 MEMS SENSOR 1 600
4 LM35(TEMP) 1 500
5 FIRE SENSOR 1 400
6 GSM 1 1500
7 GPS 1 700
8 SOLAR PANEL 1 500
9 LCD 1 500
10 BUZZER 1 300
11 ULTRA SONIC SENSOR 1 300

10. THE END