We, human beings are finding the solutions on energy crisis. It may be in terms of Alternate Energy sources, Increase in Efficiency or Saving of Fuel. For proper combustion carbon from fuel having good calorific value and sufficient amount of oxygen from atmospheric air is required. But as we know we get only 21% Oxygen and about 79% of other gases which produces pollutants like Carbon Monoxide, Nitrogen oxide, Hydrocarbons, Nitric oxide, Sulphur dioxide etc. Oxygenized air helps in proper combustion with reduction in the volume of flue gases and greenhouse effect. This is effective method for reducing CO, HC without significant increase in NOx. Oxygen enrichment also results in rapid combustion of fuel which increases power output, mechanical efficiency and volumetric efficiency with increased amount of heat generation.
In order to detect objects, this research combines real-time object identification with appropriate deep learning techniques. In our study, we describe the creation of a real-time system for item recognition, classification, and position estimation in the open environment. Blind and visually impaired people daily deal with a variety of difficulties. The proposed plan's goal. Computer vision is used to precisely identify indoor items. Those who are blind or visually challenged can use navigational aids, The Technology for navigation of the blind is not sufficiently accessible, without vision it can be challenging for visually impaired persons to navigate through rooms or different road paths .The main aim to develop the project is to help the visually impaired people and to detect the obstacles .The blind persons life become easier and without anyone helps they can walk alone through street they does not need anyone to assist them they can handle their self correctly. The preventing users from dangerous location our aim is to collected from environment (cameras, sensors, scanners, etc.) and transmitted to the users to the audio format. Data in the healthcare industry consists of all the information related to patients. Herea general architecture has been proposed for predicting the disease in the healthcare industry
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