Accidents are increasing at a higher pace and are most common if driving is inadequate. Driver drowsiness is considered an important factor in vehicle accidents, Over Speed can also be considered as another important factor for vehicle accidents.
The main objective of this project is to develop a system for automatic speed control and accident avoidance using eye blink and ultrasonic sensors to keep vehicle secure.
It includes an intelligent braking system in which, whenever any obstacle comes in front of a running vehicle the ultrasonic sensor detects the obstacle at a distance of 4m away from it and sends a signal to embedded board or microcontroller.
And if the driver is drowsy or about to sleep, then the eye blink sensor detects the eye blink and if eyes are closed for more than 30 seconds, the vehicle stops automatically.
Apart from these, the safety of the vehicle can also be ensured by introducing A.O.C.S (Automatic Over Speed Control System). It basically controls the speed of the vehicle by continuously checking it through sensors which sends the signal to the microcontroller.
Whenever the speed is increased above the predefined critical speed, the microcontroller through its logical circuits sends the signals to the actuators via its output pins. The actuators apply necessary force on the brakes and reduce the speed to its safe value.
The sensor used in this system is an optical type infrared sensor and the actuators are stepper motors to which the output of the microcontroller is connected.
PATIENT HEALTH MONITORING SYSTEM
- This system puts forward a smart patient health tracking system that uses sensors to track patient health. It will be using temperature, blood pressure and heartbeat sensors to keep track of patient health.
- This system automatically alerts the doctor about the patient’s status through IOT, if it detects any abrupt changes in patient heartbeat or body temperature or BP, it will alert the doctor by sending an emergency message or signal. The information of the patients health is stored on the cloud. The cloud is used for analyzing the patient’s health, to generate weekly and monthly reports and for continuous health monitoring of the patient’s.
- The system proposes DIET PLAN for the patients according to the readings in the respective parameters which can be viewed by the user/doctor.
- The doctor can monitor the patient’s health from anywhere.
- An LCD display will be connected to the raspberry pi for the patients to view their health status live.
The project is Patient health monitoring system using Raspberry Pi.
I need your help to complete this project.
Project Details :
SMART PATIENT HEALTH MONITORING
Our system puts forward a smart patient health tracking system that uses Sensors to track patient health and uses internet to inform their loved ones or concerned doctor in case of any issues. Our system uses temperature, blood pressure and heartbeat sensing to keep track of patient health. The sensors are connected to a microcontroller (raspberry pi) to track the status which is in turn interfaced to an lcd display as well as wifi connection in order to transmit alerts. If system detects any abrupt changes in patient heartbeat or body temperature or BP, the system automatically alerts the Doctor about the patients status over IOT and also shows details of heartbeat, BP and temperature of patient live over the cloud . Thus IOT based patient health tracking system effectively uses internet to monitor patient health stats and save lives on time.
The Real Time Hand Gesture Recognition system presented, uses only a webcam and algorithms which are developed using OpenCV computer vision, image and the video processing algorithms.
The Existing work carried was done a PC based MATLAB software, where it has readily available all the algorithms and such system is not used to full extent in embedded side.
Proposed Real Time Hand Gesture Recognition for Computer Interaction work will be carried out on Linux based single board computer with ARM 11 architecture. This board will be ported with Raspbian Operation System and OpenCV Image processing Library. Using which will design an algorithm such that the system will identify the finger tips and count them how many fingers have been displayed.
ARM11, USB Camera, Power supply.
OS: Embedded Linux, Language: C/ C++, IDE: Qt Creator, Opencv.
Computer Interaction, Gesture recognition based control
• Elimination of external hardware like mouse
• Easy to access and control appliances using gestures.
Design and Implementation of Low-Cost Intelligent Wheelchair
The main aim of this project is to design of low-cost intelligent wheelchair. This chair is designed for physically disabled persons.
It designed to control devices and to ask others their minimum basic needs like water, food etc. wheelchair movement is controlled by using MEMS sensor which attached to their hands; based on hand movement the direction wheelchair is changed.
If the hand moves towards right wheelchair move right direction if hand moves towards left it moves towards left. The movement of the wheelchair is done by using motors connected to the controller through driver IC.
To wheel chair two modes (Mode0, Mode1) particular mode can be selected by using push button. Keys are used to control the devices when it is one mode and in same way same keys are used to tell his basic requirements through voice using APR9600 voice IC.
Devices are connected to controller through relays. The communication between wheel chair and devices controlling board is done by using RF technology. If RF communication is used we require RF transmitter connected to wheel chair and RF receiver connected to devices to control.
The system uses a compact circuitry built around AT89S52 microcontroller Programs are developed in Embedded C. Flash magic is used for loading programs into Microcontroller.
DEVICES CONTROLLING BOARD:
This is a PC based temperature monitoring System using Zigbee communication. In this Temperature Monitoring Multi Bedded Hospital project, four temperature sensors in multiplexing mode are connected to the Atmega16 microcontroller which has eight channel in built ADC.
The temperature values of all the sensors are sent serially by the Atmega16 micro controller through Max 232 to the ZigBee trans-receiver module which then transmits this data wirelessly. The control room has another ZigBee module to receive this data which is connected to the communication port of the PC.
A Software “DAQ System” loaded on the PC takes these values and show them on its front panel, and also logs them to the data base “daq.mdb” One can set by the interactive way some parameters like set point i.e. the high limit on the computer screen. High limit and low limits are for alarm. When the temperature goes above high limit the alarm will be turned on.
The Temperature Monitoring application consists of microcontroller Atmega16, the temperature sensor (LM335), Current Driver ULN 2003 and Max232 for the serial interface. The on chip firmware controls reading of the ADC converter, receives commands from PC and sends the reading to PC.
We use the LM335 temperature sensor. The chip produces an output signal that is proportional to the Celsius temperature scale.
• AVR STUDIO
• EMBEDDED C
• ATMEGA16 Microcontroller
• LM35 Temperature Sensor
• ULN2003 Current Driver
• Max232 Interface