A Concealable, Hands-Free Automotive Vehicle

Many individuals in modern society depend on gestures as they are among the best means of expression. Sometimes words are not as loud as actions. One very effective instrument is gesture communication. Both households and factories now have wireless communication equipment deployed. This gesture control project has produced a four-wheeled smart vehicle that reacts to different hand gestures. Image processing methods help us to identify these motions, therefore enabling us to comprehend visual data. Smart cars come in numerous shapes, and some are meant to seem like living entities. These smart cars engage directly with people, therefore improving the user experience by means of simplicity and ease. Earlier technologies mostly concentrated on navigation and operation of smart vehicles without any natural contact. We have developed a little experiment where we use hand gestures to communicate orders to the smart car in order to meet this need. Image processing allows us to use our fingertips to regulate smart car motions. This method records our orders, thereby leading the smart car in the intended path. Recent years have witnessed a boom of developments in the smart vehicle sector targeted at raising the accuracy, accessibility, and efficiency of smart vehicle systems. These developments have let smart cars manage jobs that humans find unsafe, tiresome, or unpleasant. Smart cars still need human supervision, however, which may be accomplished with either wired or wireless control systems despite their features. Although physical control is still common, gesture control is becoming more and more popular for its natural and simple engagement with smart car technologies. This research aims to maximize smart vehicle control by means of gesture recognition, thereby attaining more degree of precision. Managing complicated systems using switches and remote controls may always be challenging, particularly when many interfaces are involved.