No abstract

Smart Wheelchair is a controlled device designed with the help of the user command to have self-mobility. It reduces the human effort of the user and encourages wheelchair riding. In fact, it also provides an opportunity for physically impaired people to move from one location to another. The main work of this paper is to gain more information, to construct a wheelchair using Raspberry Pi and RF controller to solve the difficulties faced by the physically challenged person. The device is fitted with the RF module, GSM and GPS module, servo motor, wheelchair and the whole module is controlled by wheelchair. To achieve a desire movement, the user will provide input commands to control the wheelchair and it is interfaced by RF communication and voice command. Depending upon the user convenience either RF communication or voice command can be used. Solution has also been proposed during an emergency by using an alert system. The movements received and the hand gesture shown by the visually impaired are recognizedandcontrastedwiththemodelsstoredonthereceiver.Ifthetemplates suit the templates stored then the home appliances are managedaccordingly.

A Baneful gas detector, a volatile event indicator with several other features is developed, which is a smart helmet. Here, some of the life-threatening events are being overcome by using this helmet. Those hazardous events are impact of something heavy to the workers head, dangerous gas, and deportation of helmet. These events are identified by using accelerator for finding the impact, gas sensor for finding the harmful gas and Infrared Sensor for finding the removal of helmet. Once the environmental conditions are being checked by these sensors, the information is processed by the PIC micro-controller and is sent to the receiver node through the wireless sensor network. This wireless transmission is done by using Zigbee technology. The obtained data at the receiver node is then processed through the ARM processor for performing the alert process in both the receiver end and the transmitter end i.e., the user. The development of smart helmet presents the solutions to the issues faced.