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Real Time Object Tracking using Simulink and Raspberry Pi

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Hello Friends,  In this project we will design algorithm for real time tracking of red colored objects using image processing techniques and implement the design on Raspberry pi hardware.  Real time Object tracking has a number of applications like tracking trespassers, counting products on assembly line, Robotics applications etc.   Here we built a simulink model for our application and deploy the model on the raspberry pi hardware.  Simulink model takes live input from camera and provides output to the pan-tilt arrangement in the form of GPIO signals to move the pan-tilt in the horizontal plane The system has been divided into four parts for the convenience of the reader Part I - Download Matlab and Simulink hardware package for Raspberry Pi Part II - Perform System setup and configuration of the hardware package for our Raspberry Pi hardware Part III - Design Simulink model for colour based Real time object tracking. Part IV - Build and deploy the system onto Raspberry Pi Lets get
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Development and implementation of real time face recognition systems

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  Face plays a major role in defining one’s identity and emotions as well. We humans have a fantastic ability to recognise and differentiate hundreds of familiar faces even after years at a glance, despite of changes in lightning conditions, expressions, age or hairstyle. This ability of humans has motivated both philosophers and scientists to understand the encoding and decoding of faces in human brain.           Face recognition has a variety of applications like criminal identification, security system, image and film processing, human machine interaction etc. Now-a-days, cameras come with built in functions for detecting faces and even expressions. Face detection is also required in film making for image enhancement applications.           A lot of work has been done and is still in progress to approach this problem. Within today’s environment of increased importance of security and organization, identification and authentication methods have become significant in various areas
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IoT based automation with Feedback using Raspberry Pi, WROOM32 and a Android Phone

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Hello Friends, IoT i.e Internet of Things is a term we all get to hear more often these days. Two machines talking to each other is something we could've hardly imagined a decade ago and today IoT forms a base of growing technology in the digital world. It is present in almost our every activity, right from when we wake up and receive reminders about a scheduled Zoom Meeting, or a booked flight or an aunts birthday from Google calendar to when we go to bed with our Digital Wrist Band which probably is accumulating and analyzing your health data and monitoring your health while you are deep asleep. Having a deep understanding of IoT and related concepts, applications and challenges like security and privacy is therefore essential.   So let's dive into the Project. We will need 1. A smartphone 2. Raspberry Pi 4 and later versions (or a WiFi adaptor if you have an earlier version of Pi) 3. ESP WROOM32 board 4. 1K potentiometer (for calibration) 5. LDR 6. Relay module Step 1: Creat
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