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    RASPBERRY PI 2022 - Image Processing Applications on Raspberry Pi - From Scratch | Simpliv

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    Website https://www.simpliv.com/python/image-processing-applications-on-raspberry-pi-from-scratch | Want to Edit it Edit Freely

    Category Python

    Deadline: December 30, 2022 | Date: December 30, 2022

    Venue/Country: Online Courses, U.S.A

    Updated: 2018-05-07 16:17:05 (GMT+9)

    Call For Papers - CFP

    Image Processing Applications on Raspberry Pi is a beginner course on the newly launched Raspberry Pi 3 and is fully compatible with Raspberry Pi 2 and Raspberry Pi Zero.

    The course is ideal for those who are new to the Raspberry Pi and want to explore more about it.

    You will learn the components of Raspberry Pi, connecting components to Raspberry Pi, installation of NOOBS operating system, basic Linux commands, Python programming and building Image Processing applications on Raspberry Pi.

    This course will take beginners without any coding skills to a level where they can write their own programs.

    Basics of Python programming language are well covered in the course.

    Building Image Processing applications are taught in the simplest manner which is easy to understand.

    Users can quickly learn hardware assembly and coding in Python programming for building Image Processing applications. By the end of this course, users will have enough knowledge about Raspberry Pi, its components, basic Python programming, and execution of Image Processing applications in the real time scenario.

    The course is taught by an expert team of Electronics and Computer Science engineers, having PhD and Postdoctoral research experience in Image Processing.

    Anyone can take this course. No engineering knowledge is expected. Tutor has explained all required engineering concepts in the simplest manner.

    The course will enable you to independently build Image Processing applications using Raspberry Pi.

    This course is the easiest way to learn and become familiar with the Raspberry Pi platform.

    By the end of this course, users will build Image Processing applications which includes scaling and flipping images, varying brightness of images, perform bit-wise operations on images, blurring and sharpening images, thresholding, erosion and dilation, edge detection, image segmentation. User will also be able to build real-world Image Processing applications which includes real-time human face eyes nose detection, detecting cars in video, real-time object detection, human face recognition and many more.

    The course provides complete code for all Image Processing applications which are compatible on Raspberry Pi 3/2/Zero.

    Who is the target audience?

    Anyone who wants to explore Raspberry Pi and interested in building Image Processing applications

    Basic knowledge

    Only High School Maths

    No prior programming knowledge is expected

    All the code files and images used in this course will be provided

    Hardware needed: Raspberry Pi 3/2/Zero, Monitor, Mouse, Keyboard, HDMI-VGA connector, USB flash drive (minimum storage capacity 2 GB), Micro SD card (minimum storage capacity 8 GB), Micro SD card reader, Power adapter (2 Amp, Micro-USB charger is preferred), USB Webcam (minimum 5 Megapixel resolution)

    What you will learn

    What is Raspberry Pi? and what are its components?

    Understand peripherals that need to be connected to Raspberry Pi

    Wire up your Raspberry Pi to create a fully functional computer

    Easily learn preparing SD Card to load Operating System for Raspberry Pi

    Install packages needed to build Image Processing applications

    Learn basic programming aspects of Python

    Create simple Image Processing applications using Python and OpenCV

    Build real-world Image Processing applications on Raspberry Pi

    Gmail: supportatsimpliv.com

    Phone no: 5108496155

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    Registration Link: https://www.simpliv.com/python/image-processing-applications-on-raspberry-pi-from-scratch

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    Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
    Disclaimer: ourGlocal is an open academical resource system, which anyone can edit or update. Usually, journal information updated by us, journal managers or others. So the information is old or wrong now. Specially, impact factor is changing every year. Even it was correct when updated, it may have been changed now. So please go to Thomson Reuters to confirm latest value about Journal impact factor.