Online ISSN: 2515-8260

Keywords : Raspberry Pi


Bayesian inference and Internet of Things based plant health care

Asha G Hagargund

European Journal of Molecular & Clinical Medicine, 2021, Volume 8, Issue 3, Pages 293-302

Advancements in the Internet of things (IoT) enable us to monitor and maintain a variety of devices in various sectors. Based on the literature available, we have found that there are umpteen IoT based methods proposed for plant health care involving hardware interfacing like sensors, micro-controllers, and cameras. The existing solutions also make use of mobile applications, webservers, data-base for processing of information. This paper presents a novel and simple costeffective Bayesian theorem based plant-health-care using sensors interfaced with raspberry pi. Our solution also provides users to watch and water the plant remotely, using a smart-phone via webserver. We have considered rose plant’s favourable environmental factors for maintaining its health.

A SMART SYSTEM CONNECTING E-HEALTH SENSORS AND CLOUD

K. Priya; S. Ranjana; R. Manimegala

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 9, Pages 1486-1495
DOI: 10.31838/ejmcm.07.09.160

This paper discusses the concept as well as application of an adaptive networked ehealth program. In particular after an incident or an disaster, the program is targeted at avoiding manual data entry and improving the capacity to have beds in hospitals, especially at mass occasions where a huge amount of people gather in one location.The device design is focused on medical devices that utilize wireless network sensor (WSNs) to calculate patients' physical parameters.Such sensors move information from the patient's devices to the cloud setting through the wireless network. The e-health smart network provides medical personnel with real-time data processing, reduces manual data collection and allows the tracking of

Real time object detection using Image Processing

Dr .S.Joshua Kumaresan; Shaik Shameem; M. Priyadharshini; Mr. Vinodh James; R.Lakshmi Priya

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 4, Pages 2403-2411

Object detection plays an important role in real time applications. It is used in many applications such as surveillance monitoring, human machine interaction, army base etc. The main aim of this paper is to detect the object and to detect the colour of the object using Image processing technique. Pi camera. Raspberry pi 11 kit interfaced with pi camera is used for detection of object. Raspbian os with python coding is used for object detection and colour recognition.

AUTONOMOUS STANDALONE FIRE ENGINE WITH LIDAR-ROS

Sivakumar A; Jagadeesh Babu S; Sathya Vignesh R; Shyam M; Yogapriya J

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 4, Pages 2494-2498

In recent year fire accidents increased rapidly. Firefighting and rescue, is very dangers for firefighters engaged in the field. So robots intended for firefighting have been introduced. However, Robots mobility is limited so it is difficult for them to directly approach fire sources. Here we proposed a solution by designing an autonomous firefighting robot with help of Lidar technology. Lidar can map surrounding environment and create a map of the locality using this pre-map robot can navigate the area by comparing current input from the Lidar. Here each node can be considered as a location point and every building is embedded with number of sensors for fire detection if fire is detected this information is sent to robot. Robot then activates and finds the location by itself and navigate to this location to extinguish fire. The robot-using camera also does fire detection tracking autonomously and water is sprinkled until fire is extinguished.

Implementation of Brain Controlled Robotic Car to Assist Paralytic and physically Challenged People by Analyzing EEG Signals

S. Mahaboob Basha; Gayathri. R; Anjana. J; Joy Sharon. J; R. Pavaiyarkarasi; J. Navin Sankar

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 4, Pages 2191-2199

In our society, many people are suffering from paralytic diseases which causes several disabilities like they are unable to talk , move physically and also to express their needs. Still, they mostly move their heads and blink their eyes. Based on their ability to blink, we have designed our project which is working under the principle of Brain-Computer Interface (BCI). BCI is based on the direct communication path between the Brain and digital computer. The BCI system enhances the quality of paralytic patients life. BCI which monitors EEG waves from the Brain. EEG –Electroencephalography which observes an Electrical property of the Brain through the Scalp (Noninvasive). The NeuroskyMindwave mobile measures intentionally directed EMG activity (blink strength).
Our proposed system helps them to control the robotic car to the desired place by their eye blink. So they don’t need any caretaker to drive them, they can drive their robotic vehicle themselves. The robotic car starts moving when we run the program; then the direction is chosen by having eye blinks.

FACE RECOGNITION BASED NEW GENERATION ATM SYSTEM

Dr S Sasipriya; Dr P. Mayil Vel Kumar; S. Shenbagadevi

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 4, Pages 2854-2865

In the technological advances in financial infrastructure, most bank customers prefer to use Automatic Teller Machines (ATM) for carrying out their banking transactions. To improve the security of these transactions, a new generation ATM machine which is based on face recognition system which replaces ATM card with RFID tag. In this, high quality image has important role in recognition process. Face image is used for authentication purpose. Firstly, the face image of particular person is compared with the database image. Then the compared output result is sent to the control unit through serial communication. If an unauthorized person is identified, an alert message is sent to the corresponding user. Thus, an ATM model which provides security by using Facial verification software by adding up facial recognition systems can reduce forced transactions to a great extent and provide hard-secure authentication. Here Raspberry Pi microcontroller is used in the controlling part

LETHARGY DETECTOR

Subapriya V; Jaichandran R; Usha Kiruthika; Nooka Pujith Sai Kumar Reddy; Chinthkani Saikrishna; Prasingu Bhargav

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 4, Pages 2808-2814

Lethargy driving is among the primary reason for street mishaps and passing always. along these lines, driver's sleepiness discovery and its sign is a functioning examination zone.

AN ARTIFICIAL INTELLIGENCE BASED ADVANCED SHRIMP FARMING

S.Jagadeesh Babu; M. Shyam; A. Sivakumar; R. SathyaVignesh; J. Yogapriya

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 4, Pages 2383-2390

In modern years, the development of technology has been rapidly improving and applying in aquaculture, also known as aqua-farming. A versatile, advanced shrimp farming based on Raspberry pi. A pH sensor, temperature sensor, water level sensor, turbidity sensor are used here to monitor the sudden abnormal change in the condition of the shrimp pond. Besides that, Raspberry pi is used as a server to control all the sensor nodes in this system. The system also sends an alert message through SMS service to prompt the user when needed or to monitor the system on the mobile phone. Thus, time consumption, man power, efforts of the farmer can be reduced. The proposed design has been successfully planned with a dependable, fast response and easy to use with a friendly environment. It is appropriate for small to mid-sized farming operations as it does not require any remodeling of the water front. In this work, a wireless sensor platform is developed, applied to the measurement of temperature, pH and water level in the environment shrimp ponds. The control platform consists of Raspberry pi to control all the system. Then the artificial intelligence system is developed to achieve data from sensor network anywhere via web application as well as Android application. The system is monitored in real-time and can be controlled manually or automatically.

Smart Mirror for Security and Home Appliances

Akhila A.; V. Siva Nagaraju

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 1, Pages 4187-4199

The aim of the paper is design and develop a smart mirror for security and home appliances.The present generation devices are built with smart capabilities. The intelligence is embedded in themto act wise in deployed environment. Mirrors are basically used in home for the purpose of grooming upor getting ready for the day. The same mirrors can be made to behave Smart to provide Security andcontrol home appliances in deployed environment.The proposed system is designed using Raspberry Pi, Camera, raspberry Pi compatible touch screen,microphone as major hardware components and Python for programming. The system can accept threemodes of input commands namely touch, Mobile commands and voice commands. Touch screencommands can be used whenever an administrator/owner is in front of the mirror. The mobile basedcontrols can be used when the administrator/owner of the mirror is away from the mirror. The voicecommands can be used whenever the person is busy in work. Basically, the work of smart mirror is todisplay date, time on it and to provide security with the help of camera which is inserted behind the smartmirror and can also operate house hold appliances using this smart mirror. The basic theme of theproposed model is that, to make use and control of household appliances and providing security.