This article gives the permanent way of treating knee instability or in general terms, knee buckling in patients suffering from diabetes mellitus. Diabetic patients usually suffer from a lot of potential complications. One of the major setbacks is muscle degeneration due to protein imbalance. This leads to knee weakness and inability to walk normally. This is a main problem in old patients since they are more prone to fall and there is no permanent treatment as of now. Temporary methods like knee braces do not treat this and only act as an assist device. Our main aim is to provide an enduring solution to knee buckling

Hand gesture recognition, in the recent years, has been developed to be an independent technology on its own due to its efficiency and user friendly features. This paper presents the recent advancements of the said domain. It highlights the drawbacks of other potential gesture recognizing technologies which are overcome by hand gesture sensing. The execution is carried out using an accelerometer which keeps tracks of the axes, thereby guiding the robot. The conventional approach of utilizing joysticks or even buttons for controlling can be replaced by this algorithm for identifying gestures.

In this paper, an thermoelectric multiutility refrigerator cum heater using peltier and pic controller is been focused. This proposed system consists of peltier crystal which is used to produce both refrigeration and heatness. Thereby providing simultaneous heating and cooling. The proposed system provides refrigeration as primary utility with bonus utility using TEC12706. This technique is primarily concentrated in medical arena. This setup concentrates on solar energy inorder to avert the environmental contamination.The minimum temperature of 25 degree for cooling and the maximum temperature of 60 degree for heating can be achieved. The overall setup is cost effective because solar always a onetime investment for long duration.

— In agriculture the human resource plays a vital role. Especially in fruit cultivation fruit counting for yield assessment and fruit plucking for marketing is time consuming. It also requires more man power, which is expensive today. A machine vision system can be useful to reduce manual work in picking fruits. In the literature a number of machine vision systems with classification and clustering algorithms were proposed to identify the fruits like apple, citrus, jujube and pomegranate. This paper provides a study on machine vision system to detect on-tree fruits that can help in harvesting and counting the yield of the fruits. Keywords—Machine vision system, image processing, fruit detection, clustering