Virtual Sketch is in where we can draw by just capturing the motion of a colored marker with a camera. One colored object at the tip of the finger is mainly used as the marker. We are here now, using the techniques of computer vision in open cv to build this project. The required language for this project is python due to its more exhaustive libraries and easy to make use of the syntax and but understanding the basics as well as it can be implemented in any open cv supported languages The colour tracking and detection processes are used to achieve the goal of this project. The color marker here used is detected and mask is produced. The next steps of morphological operations on the mask produced those are Erosion and Dilation. Erosion makes the impurities present in the mask to get reduced and Dilation further regains the eroded main mask.

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IOV is a unique form of VANETS network with a special kind of remote system which is arranged with set of versatile vehicles that can be effortlessly included and expelled from the system with no incorporated organization where each node acts as both sender / receiver and a Hub which forwards the packets. Owing to absence of centralized administration, Nodes in IOV are exposed to various network layer attacks. Among them, the Wormhole attack is one of its kind of attack and must to be addressed with high attention. In this paper, we propose and implement a new algorithm to detect the tunneling attack. The performance of the proposed algorithm is evaluated against various existing algorithms and a comparison is made with our proposed Wormhole Path Watcher Packet (WPWP) technique using NS2 tool.