The Internet-based security Soft-I-Robot is modelled using Soft computing paradigms for problem solving and decision-making in complex and ill-structured situations. Soft-I-Robot monitors the workspace with multimedia devices and sensor using an Internet application program. . These multiple features with hybrid Soft computing techniques depart the developed Soft-I-Robot from the existing developments, proving that the streaming technology-based approach greatly improves the sensibility of robot tele-operation. The relatively powerful online robots available today provoke the simple question, in terms of two competing goals: recognition accuracy and computing time. Improved recognition accuracy and reduced computing time for face recognition of the intruder is obtained using Morphological Shared Weight Neural Network. To obtain a collision-free optimized path, Soft-i-Robot uses derivative free Genetic Algorithm. With rapid expansion of Robotics and Soft computing paradigms