scholarly journals Implementation of Artificial Intelligence Wheel Chair for Differently-abled Person

2019 ◽  
Vol 8 (3) ◽  
pp. 1052-1054
Keyword(s):  
Artificial Intelligence ◽  
Artificial Intelligent ◽  
Rf Receiver ◽  
Rf Transmitter ◽  
Wheel Chair ◽  
Arduino Uno ◽  
Cost Efficient ◽  
Mode Of Transport ◽  
Physically Challenged

The vehicle is designed by taking into consideration of the physically challenged people especially the paraplegic patients. These people are living in our vicinity with paralyzed legs, their mode of transport from one place to another is through the wheel chairs. The normal wheel chair has to be operated manually with more man power, this eventually makes tiresome for people to cover long distances, in order to overcome such hardships faced by those people artificial intelligent wheel chair is proposed work. The vehicle is being controlled by the analog sensors fitted in the patient’s hand. The device used here is an accelerometer MPU 6050 sensor. The arduino nano board and arduino uno board is acting as an interface between the accelerometer and RF transmitter, DC gear motor and the RF receiver respectively. Coding is developed be the principles of accelerometer in x, y and z directions. The vehicle moves in all four direction according to the gesture of the patient. On the whole the vehicle is patient friendly and cost efficient.

scholarly journals Smart Restaurant Menu Ordering System Using Arduino Uno

2021 ◽  
pp. 661-666
Author(s):  
Shubham Desai ◽  
Ganesh Potdar ◽  
Shubham Jangle ◽  
Prof. V. J. Desai
Keyword(s):  
Time Management ◽  
Rf Receiver ◽  
Time Investment ◽  
Rf Transmitter ◽  
Fresh Food ◽  
Investment Cost ◽  
Long Time ◽  
Arduino Uno ◽  
Paper Method

The major issue faced in restaurants and hotels is the quality of service provided by them especially ordering of food. Traditionally, it used to take a long time for food ordering as waiter used to note down orders, place it kitchen and the food was prepared. It also involved traditional pen and paper method and the process was time consuming. It also involved a lot of wastage of paper. Hence, we have designed the smart restaurant in which the orders will be placed paperless using Arduino UNO, TFT touch display connected to the kitchen chef directly using RF Transmitter. This acted as the transmitting side. At the receiving side, the order placed is seen on LCD screen and indication of buzzer with the help of RF Receiver and I2C Module confirmed the placing of order to kitchen. Hence, the workers focused on billing and other work process and provided better quality services. We found out that this method is useful in many ways like- It not only saved the wastage of paper but also reduced the burden on the waiters and workers to great extent. Time management was also done as more and more customers could be handled by taking their orders and provide quality service. This setup is quite practical on basis such that this system can be implemented for small startups hotels and restaurants. The investment cost is also one-time investment as it requires less maintenance. The only fact it requires is to update the system as per our convenience and new offers. It also required average skilled labor to operate. Hence, we can conclude that this system is eco-friendly as it saves the paper usage by directly giving the order to kitchen and chef. The second grasping factor is that the waiters can involve them in other process of billing and other process. Hence it promotes the multi-tasking process. Third factor covered is that fresh food can be served at a faster rate to the customers due to this table-kitchen friendly process. It even eliminates the errors occurred due to traditional methods and also involves constant upgradation and upliftment of the system helps in better customer end services.

scholarly journals Single-Equipment with Multiple-Application for an Automated Robot-Car Control System

Sensors ◽  
2019 ◽  
Vol 19 (3) ◽  
pp. 662 ◽  
Author(s):  
Saleem Ullah ◽  
Zain Mumtaz ◽  
Shuo Liu ◽  
Mohammad Abubaqr ◽  
Athar Mahboob ◽  
...  
Keyword(s):  
Mobile Application ◽  
Large Scale ◽  
Detection System ◽  
Hand Movement ◽  
Voice Recognition ◽  
Obstacle Detection ◽  
Hand Gesture ◽  
Rf Receiver ◽  
Rf Transmitter ◽  
Arduino Uno

The integration of greater functionalities into vehicles increases the complexity of car-controlling. Many research efforts are dedicated to designing car-controlling systems that allow users to instruct the car just to show it what it should do; however, for non-expert users, controlling the car with a remote or a switch is complicated. So, keeping this in mind, this paper presents an Arduino based car-controlling system that no longer requires manual control of the cars. Two main contributions are presented in this work. Firstly, we show that the car can be controlled with hand-gestures, according to the movement and position of the hand. The hand-gesture system works with an Arduino Nano, accelerometer, and radio-frequency (RF) transmitter. The accelerometer (attached with the hand-glove) senses the acceleration forces that are produced by the hand movement, and it will transfer the data to the Arduino Nano that is placed on hand glove. After receiving the data, Arduino Nano will convert it into different angle values in ranges of 0°–450° and send the data to the RF receiver of the Arduino Uno, which is placed on the car through the RF transmitter. Secondly, the proposed car system is to be controlled by an android based mobile-application with different modes (e.g., touch buttons mode, voice recognition mode). The mobile-application system is the extension of the hand-gesture system with the addition of Bluetooth module. In this case, whenever the user presses any of the touch buttons in the application, and/or gives voice commands, the corresponding signal is sent to the Arduino Uno. After receiving the signal, Arduino will check this against its predefined instructions for moving forward, backward, left, right, and brake; then it will send the command to the motor module to move the car in the corresponding direction. In addition, an automatic obstacle detection system is introduced to improve the safety measurements to avoid any hazards with the help of sensors placed at the front of the car. The proposed systems are designed as a lab-scale prototype to experimentally validate the efficiency, accuracy, and affordability of the systems. The experimental results prove that the proposed work has all in one capability (hand-gesture, touch buttons and voice-recognition with mobile-application, obstacle detection), is very easy to use, and can be easily assembled in a simple hardware circuit. We remark that the proposed systems can be implemented under real conditions at large-scale in the future, which will be useful in automobiles and robotics applications.

scholarly journals Phantom Bat for Military Applications

2020 ◽  
Vol 9 (6) ◽  
pp. 86-88
Keyword(s):  
Artificial Intelligence ◽  
The Body ◽  
Manual Control ◽  
Bldc Motor ◽  
Innocent People ◽  
Rf Receiver ◽  
Rf Transmitter ◽  
Military Applications ◽  
Remote Controller ◽  
And Control

The aim of this project is to minimize the cause of death of military man and innocent people by gathering their secret informations . The Phantom bat act as spy because it looks similar like a bat. It is fixed with ESP 32 WIFI camera to monitor the activities of the enemies. This bat design does not create any doubt to the enemies we are watching. It flies using a BLDC motor. The BLDC motor help the bat to lift from the ground and allow it to fly in the sky by creating 3 flaps per second to the wings which is fixed with the body of the bat. The two servo motors are used to control altitude and direction. All the electronics components present in flight board are controlled by the Arduino pro micro which is connected with RF receiver. RF transmitter will act as a remote controller and control the operation of bat. Here mobile phone will act as a display for the camera which we used. This bat will play a major role in military to save life. In future it will work on its own by implementing Artificial Intelligence and does not need manual control for this bat.

Automatic Wheel Chair Control Using Eyeball Movement for Physically Challenged People

2012 ◽  
Vol 3 (3) ◽  
pp. 317-319
Author(s):  
R.Venkatesh R.Venkatesh ◽  
◽  
R.Karthick R.Karthick
Keyword(s):  
Wheel Chair ◽  
Physically Challenged

scholarly journals Mobile Controlled Automated wheelchair for Disabilities

2019 ◽  
Vol 9 (1S) ◽  
pp. 240-244
Keyword(s):  
People With Disabilities ◽  
Disabled Persons ◽  
Smart Phones ◽  
Mobile Users ◽  
Android Application ◽  
Mobile Games ◽  
The Past ◽  
Wheel Chair ◽  
Physically Challenged ◽  
Tilt Change

As the usage of the Android smart phones has been considerably increasing, a lot of applications have been developed for the benefits of mobile users. In the past, many applications have been designed aiming to help physically disabled persons. This paper presents an android application which providers several options for controlling the movement of wheelchairs effectively. The proposed application enables People with Disabilities (PWDs) to operate the wheel chair with minimum effort. Apart from voice commands, the proposed application detects and measures the tilt change, and moves the wheelchair based on the degree of the tilt. It also provides a soft joystick as in mobile games to ease the operation of the wheelchairs. Furthermore, sensors that are fixed in the wheelchair can detect and avoid obstacles when the chair is on the move. Hence, it ensures the safety while using the wheelchairs. The proposed application will help both physically challenged persons and elders to operate the wheelchairs more comfortably.

scholarly journals Make Way: An Intelligent Real-Time Traffic Light Control System

2019 ◽  
Vol 9 (2) ◽  
pp. 709-712
Keyword(s):  
Control System ◽  
Traffic Control ◽  
Traffic Signals ◽  
First Aid ◽  
Light Control ◽  
Traffic Light ◽  
Rf Receiver ◽  
Rf Transmitter ◽  
Traffic Light Control ◽  
Traffic Control System

Nowadays, automatic traffic light control is becoming an important requirement for travelers and number of road users especially for emergency service providers such as ambulance drivers, fire fighters etc... Various alternatives have been proposed, but it has certain limitations.One such example is using an RF transmitter mounted on the ambulance which will communicate with the RF receiver mounted on the signal post in the traffic control system. A special algorithm is provided to control the traffic signals automatically by pressing the key provided in the keybord on the ambulance by the driver.But in this case, there is big trouble for car accidents or road accidents, because of automatic adjustment and a large number of vehicles, and there is a problem of delay in first aid service, with these overcrowded roads. This paper describes a solution that is "Intelligent Ambulance with Automatic Traffic Control” which includes the accident detecting, alerting and tracking mechanism with an automatic traffic light controlling system to overcome this delay of first aid service. An ambulance can thereby easily finde a freeway to reach the victim in a minimal time and thereby providing first aid as soon as possible. This is possible by using an RF transmitter on the ambulance which will communicate with the RF receiver mounted on the signal post in the traffic control system. To control the traffic signals automatically, and to move towards the location in minimal time, a specific algorithm is proposed in this paper. Thus, the traffic light gets controlled by the intelligent ambulance itself, in such a way that it could provide free path to the ambulance[1].

ANN Application in the Field of Structural Concrete

2011 ◽  
pp. 118-124
Author(s):  
Juan L. Pérez ◽  
Mª Isabel Martínez ◽  
Manuel F. Herrador
Keyword(s):  
Artificial Intelligence ◽  
Neural Networks ◽  
Artificial Neural Networks ◽  
High Resistance ◽  
Structural Engineering ◽  
Construction Material ◽  
Fabrication Process ◽  
Structural Concrete ◽  
Cost Efficient ◽  
Ann Application

Artificial Intelligence (AI) mechanisms are more and more frequently applied to all sorts of civil engineering problems. New methods and algorithms which allow civil engineers to use these techniques in a different way on diverse problems are available or being made available. One AI techniques stands out over the rest: Artificial Neural Networks (ANN). Their most remarkable traits are their ability to learn, the possibility of generalization and their tolerance towards mistakes. These characteristics make their use viable and cost-efficient in any field in general, and in Structural Engineering in particular. The most extended construction material nowadays is concrete, mainly because of its high resistance and its adaptability to formwork during its fabrication process. Along this chapter we will find different applications of ANNs to structural concrete.

Artificial Intelligence in Supply Chain Management

2020 ◽  
pp. 470-482
Author(s):  
Rana Özyurt Kaptanoğlu
Keyword(s):  
Artificial Intelligence ◽  
Supply Chain ◽  
Neural Nets ◽  
Business World ◽  
Chain Management ◽  
Artificial Intelligent ◽  
Artificial Neural Nets ◽  
Order Tracking ◽  
Chain Architecture ◽  
Storage Distribution

This chapter develops a method proposal regarding digitisation of variables in road, maritime, and airline transport, and makes parameters machinable, output-producing algorithms methods. Results regarding which artificial intelligence is proper to be used in storage, distribution, stock, and order tracking, supply chain architecture, and third- and fourth-party logistical practices are sought. For this, artificial neural nets, software techniques, artificial intelligent philosophy, and the reflections on the business world are analysed.

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