Dynamic hand gesture tracking and recognition system can simplify the way humans interact with computers and many other non-critical consumer electronic equipment. Digital image processing is the techniques, which is reduces the time consumption and human errors. Digital image samples acquired by the preferable standard digital camera. The shape of human hand gesture is segmented by using suitable image processing techniques. Segmented data samples are recognizing the predefined gesture sign using pattern and geometrical matching algorithms. Operation executed according to the corresponding gesture sign. Using Internet of things, actions of controlling the devices into user defined.