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Algorithms Behind Space Missions ~xRay Pixy

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Learn different algorithms used in Space Missions. Video Link Video Chapters: Algorithms Behind Space Missions 00:00 Introduction 00:52 Space Missions 04:26 Space Missions Challenges 07:04 Algorithms Used in Space Missions 10:36 Optimization Techniques 11:44 Conclusion  NASA conducts space missions to explore the universe for various scientific, technological, and practical reasons: Understanding Our Place in the Universe Search for Life Beyond Earth Studying Earth from Space Advancing Technology Supporting Human Exploration Resource Utilization Inspiring Humanity Examples of NASA Space Missions Apollo Program: Sent humans to the Moon (1969–1972). Mars Rovers (Spirit, Opportunity, Perseverance): Explored Mars' surface and geology. Voyager Missions: Studied the outer planets and interstellar space. Hubble Space Telescope: Captured breathtaking images of the universe. International Space Station (ISS): Supports research in microgravity and international collaboration. Different ...
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What is Cathode Ray Tube ?

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 Display Devices:  Display devices are also known as Output devices. A commonly used output device in a graphics system is Video Monitor. The operations of most video monitors is based on the Cathode Ray Tube Design.  Cathode Ray Tube [CRT] CRT: Simplest version of CRT consists of a gas-filled glass tube in which two metal plates that is Cathode and Anode have placed. When a large voltage is placed across the electrodes, the Neutral Gas inside the Gas Tube Ionize into conducting plasma, and the current will flow as electrons travel from Cathode to the other side. CRT is a type of Display Device.  CRT are special electronic vacuum tubes that use a focused electron beam to Display Images.  Where Cathode Ray Tubes are Used? Television. Computers. Oscilloscopes. Radar Display. In video games Equipment. What is inside Cathode Ray Tubes? A CRT has a negatively charged terminal (i.e., Heated Filament).  The filament is contained inside a vacuum with a glass tube....
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How to Detect Masked Face from Digital Images using Viola Jones Algorithm.

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  How to Detect Masked Face from Digital Images using Viola Jones Algorithm.  Source Code : I = imread('4.jpg'); faceDetector = vision.CascadeObjectDetector; bboxes = step(faceDetector, I); IFaces = insertObjectAnnotation(I, 'rectangle', bboxes, 'Face'); figure imshow(IFaces), title('Detected faces'); Output: Video Link:  https://www.youtube.com/watch?v=bgnb8kLhoWs #faceDetection #imageProcessing #matlab
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