Vehicle Collision Warning System IoT based

Project Title

Vehicle Collision Warning System IoT based

Project Area of Specialization Internet of ThingsProject Summary

Jarvis is an IoT based android application which provides a vehicle collision warning system by the use of ultrasonic, speedometer and camera sensors. These sensors are
connected directly to Ruspberry pi that is further connected to the Android based application. The analog
readings from the sensors are sent to the application over a bluetooth or WiFi connection. These analog values are then
converted to digital data and further checked for the warning prompts.

Adding to that, is an automated braking system that is based on artificial intelligence.  The automated braking system will be of great use when the user/driver gets the warning but doesn't take necessary measures and as a result the vehicle gets too close to other vehcile or object, in this situation the AI algorithm measures the pressure to be applied to the brakes that is necessary in current situtation. This can prevent alot of road mishaps and eventually the rate of fatalities in such unfortunate events.

Project Objectives

The main objective of Vehicle Collision Warning System is to develop a smart application that can help prevent the road accidents (road safety) and  using techniques based on Internet of Things (IoT).

The main purpose of this project is to provide early warnings to drivers to avoid collision with other vehicles or other objects while driving. Furthermore, this project is expected to promote safe driving and hence result in fewer accidents and reduce the probability of fatalities. The automated braking system will ensure that brakes are applied when the vehicle gets dangerously close to other vehicle or object even if the user ignores the warnings due to some reasons.This project also provides a parking mode facility that will help while parking the car. The driver can set the safe distance according to his needs.The driver will also be able to turn on/off the cruise/parking modes and check camera feeds for added safety purposes.

Project Implementation Method

Tools and Techniques
The tools and techniques that are/will be used during the implentation of this project are as follows:

• Android Studio (as IDE for android application development).
• Arduino IDE (as IDE to configure Ardunio devices).
• ArgoUML.
• MS word.
• Internet of Things.
• AI based algorithms in development of automated braking system.

Languages

• JAVA (during android application development).
• C++ (in ardunioand ruspberry pi for configration of ardunio devices).

Implementation also involves hardware resources i.e. sensors, arduino, ruspberry pi etc. As real time sensor data is involved overall better specifications are required.

Benefits of the Project

This project will help in reducing the number of accidents that take place in daily life. Hence, the number of fatalities due to road accidents will also be reduced greatly. Furthermore , the parking mode setting will assist drivers who may not have the best reaction timings to appropriately park their cars.

Technical Details of Final Deliverable

The final deliverable of this project will be a Software/Hardware Integrated System. The entire system can be divided in to two parts:

1. An Android based application that will work on android versions above 6.0.
2. The other part being the arduino and sensors. All of the sensors(ultrasonic, speedmeter, cameras etc) will be wired directly to arduino/ruspberry pi which will communicate with android app through a bluetooth/wifi channel to send sensor data.

Final Deliverable of the Project HW/SW integrated systemCore Industry ITOther Industries Transportation Core Technology Internet of Things (IoT)Other Technologies Artificial Intelligence(AI)Sustainable Development Goals Industry, Innovation and Infrastructure, Life on LandRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	75600
Arduino	Equipment	2	1200	2400
Ruspberry Pi 4 4gb	Equipment	1	13000	13000
Android Screen/tablet for car	Equipment	1	18000	18000
samsung 970 nvme 500gb	Equipment	1	18000	18000
ddr4 16 gb	Equipment	1	8000	8000
hc-05 bluetooth sensor	Equipment	3	500	1500
long range ultrasonic sensors	Equipment	9	350	3150
Arduino U-Type IR Infrared RPM Speed Sensor Module LM393	Equipment	3	300	900
OV7670 Camera Module	Equipment	6	400	2400
Relay Module 4CH 5Volt	Equipment	3	250	750
Travel	Miscellaneous	8	500	4000
Printing	Miscellaneous	10	350	3500