Hand Gesture Controlling using Artificial Intelligence
V. Sai Likhith1, M. Chandra Sekhar Reddy2, M. Mithilesh3, M. Madhuram4

1V. Sai Likhith, Computer Science, SRM Instituteo Science and Technology, Chennai, India.
2M. Chandra Sekhar Reddy, Computer Science, SRM Institute of Science and Technology, Chennai, India.
3M.Mithilesh ,Computer Science, SRM Institute of Science and Technology, Chennai, India.
4M.Madhuram, Assistant Professor, Computer Science, SRM Institute of Science and Technology, Chennai, India.

Manuscript received on September 16, 2019. | Revised Manuscript received on 24 September, 2019. | Manuscript published on October 10, 2019. | PP: 859-862 | Volume-8 Issue-12, October 2019. | Retrieval Number: G5203058719/2019©BEIESP | DOI: 10.35940/ijitee.G5203.1081219
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Abstract: Presently multi day’s robot is constrained by remote or mobile phone or by direct wired association. In the event that we pondering expense and required equipment, this things builds the unpredictability, particularly for low dimension application. Presently the robot that we have structured is not quite the same as over one. It doesn’t require any kind of remote or any correspondence module. it is a self-enacted robot, which drives itself as indicated by the position of a client who remains before it. It does what the client wants to do. it makes a duplicate, all things considered, development of the client remaining before it. Equipment required is little, and henceforth minimal effort and little in size. Of late, there has been a flood in enthusiasm for perceiving human Hand signal controlled robot. Hand motion acknowledgment has a few uses, for example, PC amusements, gaming machines, as mouse substitution and apparatus controlled robot (for example crane, medical procedure machines, apply autonomy, counterfeit intelligence
Keywords: Motion Controlling, Artificial Intelligence
Scope of the Article: Artificial Intelligence