-74813b3e17f460286df1f2d 20220705024533352 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Innovative Technology and Exploring Engineering IJITEE 22783075 10.35940/ijitee https://www.ijitee.org/ 10 30 2019 8 12 Department of Computer Science & Engineering, SLN College of Engineering, Raichur, Karnataka, India. Vijayakumari G* Ganga Holi Department of Information Science & Engineering, Global Academy of Technology, Bangalore, Karnataka, India. Osteoarthritis (OA) is one of the most common joint disorder which is debility seen in elderly & overweight people which affects the cartilage of bone joints like knee, feet, hip, and spine. In OA usually, cartilage is ruptured due to the kneading of bones with each other which will end up causing severe pain. In this condition, it is necessary to analyze the severity of OA which involves various medical imaging and clinical examination techniques. In this paper, automated analysis and detection of OA are proposed by calculating the thickness of cartilage which also helps to effectively detect and analyze the abnormalities in bone structures. Where we have considered various knee X-ray images. Initially, preprocessing and noise removal is performed. Further by implementing Particle Swarm Optimization (PSO) segmentation and thresholding, the specified knee region is cropped and analyzed to calculate the thickness of cartilage to detect the presence of OA. 10 30 2019 5818 5823 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C4246.1081219 https://www.ijitee.org/portfolio-item/C4246098319/ Computer Science, SRM Instituteo Science and Technology, Chennai ,India. V. Sai Likhith* M. Chandra Sekhar Reddy Computer Science, SRM Institute of Science and Technology, Chennai ,India. M. Mithilesh Computer Science, SRM Institute of Science and Technology, Chennai ,India. M. Madhuram Assistant Professor, Computer Science, SRM Institute of Science and Technology, Chennai ,India. 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 10 30 2019 859 862 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5203.1081219 https://www.ijitee.org/portfolio-item/G5203058719/