European Journal of Molecular & Clinical Medicine

IoT based advanced solution for monitoring the soil conditions and atmosphere for efficient crop growth is presented. It also capable of monitoring temperature, humidity, soil moisture level using NodeMCU and several sensors connected to it. The system uses sensors which gives the amount of moisture in the soil, the humidity and temperature of the region, and a rain detecting sensor which and PIR sensor is using for motion activity can be used in deciding whether the crop is suitable for growing. All these sensors along with Arduino UNO are connected to the internet and a smartphone.

Internet of things (IoT) is developing day by day and it is the future of computer technology and networking. This paper explains about the working, plan and implementation of IoT and wireless Sensor based surveillance robot using Arduino uno controlled by hand gesture. The main motto of the gesture recognition to reduce the human power to control robot to enhance and showcase their skills. The hand motion or gesture was recognized by using gyroscope accelerometer. There are so many ways and algorithms are there and implemented to recognize the hand gesture. Here we are dividing the robot into two circuits, transmitter and receiver. The Transmitter circuit contains Gyroscope and Accelerometer (MPU6050), Arduino UNO, Transceiver (NRF24L01). The Receiver circuit contains Motor Driver (L298D), Transceiver (NRF24L01), BLET (Bluetooth low energy tags), Arduino UNO. The motto of the project was according to the hand motions the robot must react. Hand motion detected by the gyroscope accelerometer. The Main Reason of the mixing the BLE Tags with Robot is to help the soldiers who are at the border of the country, so that at the time of war they can move their robots by their own wish so that they can know where the Land Mines are present and can see the robot status in mobile app.

The Smart Wheel chair system proposed in this paper helps to physically disable people or adulthood people to move around without others help. Normal wheelchairs are manually operated and heavy to move. It makes suffered people to depend on others. These wheelchairs that are equipped with sensors and a data processing unit constitute a special class of wheeled mobile robots, termed smart wheelchairs in general literature overviews. n the existing system, the wheel chair movement is controlled by joystick and buttons are used to start and stop the wheel. This is difficult to handle the differently able person to press the button. In the proposed system, the physically disabled person can control their wheel by manual. MPU6050 sensor is used for gesture symbol. In manual mode MPU6050 sensor and accelerometer is used to control the direction of the wheel of the motor. The proposed system contributes to the self dependency of differently able and older person. The robot will be access both manual and automatic mode. Blood oxygen sensors monitor the oxygen level of blood in patient body, blood pressure sensor monitor the patient heart rate parameter and the temperature sensor is used to calculate the body temperature, these sensor are monitor by the microcontroller and the microcontroller collect the data are sending to mobile phone via Bluetooth module.

Recently, the implementation of Raspberry Pi controlled monitor system performs well defined medical applications for diagnosis of DCM Healthcare. The development of IoT (Internet of Things) is an important application domain in medical field that draws huge interest from industry, research field and public sector. In medical applications, the temperature and humidity data are often major considerations. The main objective of this framework is to give immediate necessary services where cardiac patient can measure body temperature, heart rate in bpm and body position by themselves and promote hygienic environment. The framework is tested for a volunteer to check the body temperature, heart rate and observe the movement of body position and view the ECG graph using Serial Plotter Software on a local server.

Paralysis is the inability to move muscles on their own. This is caused as a result of damage in the nervous system therefore the message passing between the brain and the muscles is not proper. Paralysis can be caused due to various reasons like diseases like Parkinsons disease, multiple sclerosis, Guillian Barre Syndrome, stroke, etc. It is also caused by accidents which results in the spinal cord injury or broken necks damaging the nervous system. Our proposed system is to help the paralyzed patient to convey the basic requirements and emergency messages by just moving the finger to display the required message in order for the patient to be motivated as much as possible. It also consists of a buzzer to alert the attender when a message is displayed

Accident count is increasing day by day. Fog is one of the main causes of accidents, especially in hilly regions. As fog density increases, visibility of the road gets decreased. The drivers will not be able to see the road or any obstacle that is present. Unfortunately, few people do not slow down their vehicle even in the worst fog environment. So we are proposing a system that detects a foggy environment and reduces the acceleration of the vehicle, to avoid accidents. In the proposed system, a sensor that is directly connected to Arduino Uno is used to automatically calculate the values of temperature and relative humidity from the atmosphere. Based upon the values of dew point, the speed of the vehicle is controlled. If the Dew value is less than 2.5°C it indicates the presence of fog. Depending upon the Dew Value the complete control takes place. Also, from Arduino the data is sent to cloud through IOT module and from there we can access in App.