Android phone controlled Voice , Gesture and Touch screen operated Smart Wheelchair

ABSTRACT:

The project aims at designing a wheel chair for physically disabled people using MEMS and Bluetooth. The system contains control systems, manipulators, power supplies and software all working together to perform a task.

This physically challenging wheel chair is a machine that allows the physically disabled person to change the direction of the vehicle according to his requirement without any other person’s need. The project uses Embedded Systems to design this application. The direction of the vehicle can be changed with the hand gesture sensor provided with the system. The system accepts the input as the user’s gesture. At the same time we can also control the wheel chair by using the Bluetooth app from your android mobile.

As the user gives the input to the controlling unit through gesture or from the android mobile Bluetooth application, the Raspberry Pi 3 microprocessor reads the input and make the wheel chair move in that particular direction specified by the user.

This project is a device that collects data from the MEMS sensor or from the Android app, codes the data into a format that can be understood by the controlling section. This system also collects information from the master and implements the commands specified by the master. Besides the above sensors, we also incorporate the touch screen and the voice playback module to the wheel chair. In case of any emergency, if the person touches the touch screen in specific place, then the corresponding voice message will played by the voice playback module via speaker. By this way, the disabled person can easily convey his needs to the care taking person. We are also using the ultrasonic sensor also to sense the obstacle in the direction of the wheel chair and stops the wheel chair automatically.

A Real-Time Embedded System for Monitoring of Cargo Vehicles Using Controller Area Network (CAN)

ABSTRACT:

This project presents the creation of a CAN network for monitoring parameters route of cargo vehicles. By decree of law, all cargo vehicles must contain tachograph device that collects and records all information practiced during the trip, such as speed, distance, RPM (rotations per minute), among other parameters.

In this project, we are measuring the speed of the vehicle and distance it was travelled. For this purpose we are using the hall sensor. The speed as well as the distance the vehicle covered was displayed on the LCD screen. All these details are send to the dashboard side by using the CAN protocol. Controller Area Network or CAN protocol is a method of communication between various electronic devices like engine management systems, active suspension, ABS, gear control, lighting control, air conditioning, airbags, central locking etc embedded in an automobile.

Besides these, we are using the alcohol sensor as well as ultrasonic sensor. The alcohol sensor is used to detect the consumption of the alcohol by the driver and stops the vehicle to prevent accidents due to alcohol consumption. And also send the alert message to the particular mobile number along with the GPS location values. The ultrasonic sensor is used to measure the distance from the leading vehicle and control the speed of the vehicle accordingly to avoid the collision. The sensor data was also transmitted to the dashboard side via CAN protocol. We are also incorporating the IoT also in our project by including the Wi-Fi module to the ARM cortex controller. All the parameters of the vehicles are sent to the web server by using the Wi-Fi module.