VOICE ASSISTANCE GOODS LIFTER USING RACK AND PINION
Journal: International Journal of Electrical Engineering and Technology (IJEET) (Vol.11, No. 7)Publication Date: 2020-09-30
Authors : Arun Karthik S Jasmine Batra Sachin K Shiv Sanjaybhai Makadia Vidhya S;
Page : 17-24
Keywords : Goods Lifter; Android app; Arduino UNO; Bluetooth module; Microcontroller.;
Abstract
In this research paper, a system is being projected that focuses on the robot controlled by the voice which does the lifting of the goods using the Rack and pinion mechanism. As we all know the technology has been in progress since humans have been evolved and in today's world it has been a key to survival. Earlier people used to lift their goods using pulleys to overcome the weight to be lifted and many parts of the world still use this, but for heavy loads, it might be a bit difficult process, hence we have proposed a system which works just on your voice commands. The robot helps the rack and pinion mechanism to move to its desired place which is attached to it so that it can be used to lift heavy loads. The objective of this work is to provide an effective application to a real-time problem. The system will take the voice inputs through the Bluetooth module and will pass on to the Arduino while the rack and pinion mechanism will get its command from the micro-controller. Moreover, this system will be able to bridge the gap between the older techniques and the newer techniques which is easy to control, cheaper & faster. Also, the risk factor will be reduced which is a major problem faced while lifting heavy loads. Rack and pinion give access to up and down motion thus helping in construction work to lift the load up or down depending on the requirement. Such a type of robot provides a helping hand for various multiple tasks. So, in this paper, an attempt has been made to highlight the role of a rack and pinion mechanism using a voice-controlled robot.
Other Latest Articles
- POWER CONTROL OF DOUBLY FED INDUCTION GENERATOR USING DPC METHOD
- ANALYSIS OF SOCIAL MEDIA IMAGES TO PREDICT USER PERSONALITY ASSESSMENT
- AN APPLIED APPROACH FOR SPEED ESTIMATION OF INDUCTION MOTORS USING SENSORLESS FLUX OBSERVER SYSTEM WITH SLIDING MODE FIELD ORIENTED CONTROL
- OBJECT DETECTION USING MATLAB, SCILAB AND PYTHON
Last modified: 2021-03-04 17:50:15