Summary The thought of developing this project comes from social responsibility towards the society. As we can see many accidents occurring around us, there is a lot of loss of life. According to a survey of India there are around 500 accidents occurring due to bike crashes p
Smart Helmet For Accident Detection with Navigation
Summary
The thought of developing this project comes from social responsibility towards the society. As we can see many accidents occurring around us, there is a lot of loss of life. According to a survey of India there are around 500 accidents occurring due to bike crashes per day. The reasons for the accidents may be many such as no proper driving knowledge, no fitness of the bike, rash driving, drink and drive etc. In some cases, the person injured may not be directly responsible for the accident, it may be fault of some other rider. If accidents are one issue, lack of treatment in proper time is another reason for deaths. According to the same survey if 500 accidents occur per year, nearly half the injured people die due to lack of treatment in proper time. The reasons for this may again be many such as late arrival of ambulance, no person at place of accident to give information to the ambulance. This is what is running situation in our day to day life, a thought of finding some solution to this problem come up with this idea of giving the information about accident as soon as possible and in time.
The Smart Helmet system is planned to be a solution for any motorcycle rider that wishes to increase his or her awareness, and safety, while driving. The motivation of this project comes from the real-world challenges that we face daily on the roads. Road accidents are on the rise day by day and in countries like India where bikes are more prevalent many people die to carelessness carried in wearing helmets. In present day scenario we encounter numerous cases of death due to two-wheeler road accidents. Despite of the fact that helmets are available everywhere, people are not wearing them. In the event of road accidents, the message is sent to the emergency contact through GSM.
Objectives
Project Implementation
The project implementation consist of number of stages:
1. Collection of Needs
The client and the developer jointly define identify requirements and the system created. In this stage extensive research are made to study the available helmets in the market. A number of visits will be made to local and other cities helmet manufacturer companies to collect the optimal requirements for the system.
2. Identify the platform and Hardware modules
Raspberry Pi: The Raspberry Pi is a series of small single-board computers developed in the United Kingdom by the Raspberry pi foundation to promote the teaching of basic computer science in schools and in developing countries.
It consists of various ports for connecting peripherals like led display, camera module, sensors, etc. We have installed Android Things operating system on Raspberry Pi to get basic Android functionalities like Google maps, nearby API,
camera API, etc.
Vibration sensor: Vibration sensor is used to detect impact on helmet in case of accident. Vibration sensor SW-420 can be used with Raspberry Pi. By sensing strong vibrations we can detect that if the user is in emergency situation or not. The input from sensor can be converted using ICMPC3008 and can be given to the raspberry pi and then ACK is sent to user’s application using nearby API. As soon as the ACK is received messages are sent to the registered phones numbers which are stored in the settings of application.
Camera Module: A camera on the rear side of the helmet is installed to fetch the view behind riders back, the same will be displayed on led display. On the raspberry pi 3 version dedicated camera port is provided. Using this port we
can connect camera to the raspberry pi module. Using specific commands we can either take pictures, record videos, ive feed to a display from camera. Camera can be integrated in the Raspberry Pi using camera2 API on Android things
platform.
Mounted Display: Similar to the camera port a display port is also provided. Using this dedicated displays such as LCD, touch screen displays can be connected. This can be used to display user interface or specific task such as footage from camera. Navigation is also displayed on the mounted display, this will reduce user’s obstruction while riding. We have installed Android THINGS operating system on raspberry for installation of application supporting multiple modes like navigation and rear view. With the above components we provide the rider with a smart helmet. The camera module installed on the rear side will be connected with the led screen, because of this the user will be aware of the rear
3. Evaluation of the prototype
This stage is carried out by the client, whether the prototype is built, according to customer wants and needs. If it is not suitable, the prototype will be revised by repeating.
Benefits
Technical Details
Proposed system would consist of a head mounted led screen, which shows the rear view of the rider. Proposed system consists of navigation support which provides user a precise location of his standings as well as his desired destination and the route enclosing both. This is done by generating Location from user’s phone and sent to Raspberry Pi application for every location change using Nearby API, this location is updated in the MAPBOX used in Raspberry Pi application for showing route to user. Proposed system will send emergency alert as well as his destination details to the rider’s family, hospital and police station using the impact sensed by the vibration sensor. Once impact is sensed, the ACK is sent to user’s phone using Nearby API, the ACK is used to generate the emergency message and then sent. The Nearby API and MAPBOX API are discussed as follows. Android THINGS operating system A. Nearby API Nearby Connections enables advertising and discovery of nearby devices, as well as high-bandwidth low-latency encrypted data transfers between these devices in a fully-offline P2P manner. It achieves this by using a combination of classic Bluetooth, BLE, and Wi-Fi hotspots. It leverages the strengths of each while supplementing their respective weaknesses. For instance, Bluetooth has low connection latency but also provides low bandwidth Wi-Fi hotspots have slightly higher connection latency, but also provide much higher bandwidth. So what it does is connect over Bluetooth and start transferring data instantly but in the background, it also brings up a Wi-Fi hotspot and when that’s ready, it seamlessly transfers your connection from Bluetooth to Wi-Fi with absolutely no work required by the app developer.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Raspberry pie 4B | Equipment | 1 | 25500 | 25500 |
| Power Supplies | Equipment | 1 | 6000 | 6000 |
| jumper wires/ bread board | Equipment | 2 | 1500 | 3000 |
| soldering Station | Equipment | 1 | 10000 | 10000 |
| Helmet structure | Equipment | 1 | 10000 | 10000 |
| Vibration Sensor | Equipment | 3 | 200 | 600 |
| Neo pixels Matrix | Equipment | 1 | 2800 | 2800 |
| TTGO TPCIE SIM868 ESP32 GSM GPS Module | Equipment | 1 | 4500 | 4500 |
| Battery Lipo 3.7 | Equipment | 1 | 1400 | 1400 |
| GSP 32 | Equipment | 1 | 800 | 800 |
| Raspberry pie camera | Equipment | 1 | 4000 | 4000 |
| Tilt Sensor | Equipment | 1 | 800 | 800 |
| Rotatory motor | Equipment | 1 | 600 | 600 |
| Raspberry pie 4B | Equipment | 0 | 0 | 0 |
| Power Supplies | Equipment | 0 | 0 | 0 |
| jumper wires/ bread board | Equipment | 0 | 0 | 0 |
| soldering Station | Equipment | 0 | 0 | 0 |
| Helmet structure | Equipment | 0 | 0 | 0 |
| Vibration Sensor | Equipment | 0 | 0 | 0 |
| Neo pixels Matrix | Equipment | 0 | 0 | 0 |
| TTGO TPCIE SIM868 ESP32 GSM GPS Module | Equipment | 0 | 0 | 0 |
| Battery Lipo 3.7 | Equipment | 0 | 0 | 0 |
| GSP 32 | Equipment | 0 | 0 | 0 |
| Raspberry pie camera | Equipment | 0 | 0 | 0 |
| Tilt Sensor | Equipment | 0 | 0 | 0 |
| Rotatory motor | Equipment | 0 | 0 | 0 |
| Raspberry pie 4B | Equipment | 1 | 25500 | 25500 |
| Power Supplies | Equipment | 1 | 6000 | 6000 |
| jumper wires/ bread board | Equipment | 2 | 1500 | 3000 |
| soldering Station | Equipment | 1 | 10000 | 10000 |
| Helmet structure | Equipment | 1 | 10000 | 10000 |
| Vibration Sensor | Equipment | 3 | 200 | 600 |
| Neo pixels Matrix | Equipment | 1 | 2800 | 2800 |
| TTGO TPCIE SIM868 ESP32 GSM GPS Module | Equipment | 1 | 4500 | 4500 |
| Battery Lipo 3.7 | Equipment | 1 | 1400 | 1400 |
| GSP 32 | Equipment | 1 | 800 | 800 |
| Raspberry pie camera | Equipment | 1 | 4000 | 4000 |
| Tilt Sensor | Equipment | 1 | 800 | 800 |
| Rotatory motor | Equipment | 1 | 600 | 600 |
| Total in (Rs) | 140000 |
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