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I made a Smart Automatic Door using Arduino Uno. This DIY project automatically opens and closes the door when someone comes near the sensor. It is a simple and beginner-friendly Arduino project using ultrasonic sensor and servo motor. This project is perfect for home automation and smart door systems. Watch the final test of the Arduino automatic door project. If you like DIY electronics and Arduino projects, don’t forget to like and subscribe.
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We introduce the Electrix Microbeaks TP-Box, a beginner-friendly robot car kit for learning robotics, coding, and electronics. This tutorial showcases the unboxing and components, including the robot car and a Micro:bit board, making it perfect for robotics for beginners.
Designed for Raspberry Pi and PCs, Volumio is a Debian-based distro fine-tuned exclusively for music playback that delivers a HiFi-grade audio experience. The latest update refreshes most system components but focuses on reliability and audio quality, so most pieces of code are not the latest ones...
https://youtu.be/TZrrmwKLPEE You know what's ridiculously expensive these days? RAM. You know what isn't? A broken phone on eBay.ETA PRIME spent under $70 on a Samsung Galaxy S20 FE with a busted screen, stuffed it into a Raspberry Pi tower case, and ended up with a mini PC that boots into Samsung...
Sonocotta (Andriy Malyshenko), the developer of Esparagus “Media Center”, HiFi-Amped, Louder Raspberry Pi, and Louder Raspberry Hat Plus, has returned to...
YouTuber ETA Prime has turned a broken phone into an under $100 mini PC with a few Raspberry Pi parts. This modified PC with the Galaxy S20 FE mainboard is shown to handle light games and emulation with ease.
Ich freue mich über jede Art der Kanalunterstützung: ❤️ Hinterlasse einen Kommentar. Die besten bekommen ein Herz ❤️ ❤️ Abonniere den Kanal und klicke auf die Glocke, damit du keine Folge verpasst. ❤️ Beginne deinen nächsten Einkauf bei Amazon über diesen Link hier: https://amzn.to/3gjitEk * Speichere den Link am besten gleich in deine Favoriten. Es ist ganz egal, was du kaufst. Für dich entstehen keine Extrakosten. ❤️ Du kannst auch ein kleines Trinkgeld via PayPal spenden: https://www.paypal.com/donate?hosted_button_id=R6W7ZCTC7MAHA
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In this lecture, we will learn how to interface the LM35 temperature sensor with Arduino and simulate the complete circuit in Proteus software.
This tutorial is perfect for beginners in Embedded Systems and Arduino projects. You will understand how the LM35 sensor works, how it gives analog voltage output proportional to temperature, and how Arduino reads and converts it into temperature values in Celsius.
🔹 In this video, you will learn:
What is LM35 temperature sensor
Working principle of LM35
Pin configuration of LM35
Circuit connection in Proteus
Arduino code explanation
How to simulate and verify temperature output
This project is useful for: ✔ Temperature monitoring systems ✔ Weather station projects ✔ Industrial temperature sensing ✔ IoT based temperature systems
Software Used:
Arduino IDE
Proteus Professional
If you are learning Arduino, Embedded Systems, or Proteus simulation, this lecture will help you build a strong practical foundation.
👍 Like, Share & Subscribe for more Arduino and Embedded System tutorials.
1.Design and Development of an IoT-Enabled Multi-Factor Smart Locker Security System with Intruder Photo Alert. 2.IoT-Based Smart Locker Security System with Biometric Authentication and OTP Verification. 3.Intelligent Multi-Layer Locker Security System using Raspberry Pi Pico and ESP32-CAM. 4.Hybrid Biometric and OTP Based Smart Locker with Real-Time Intrusion Monitoring. 5.Advanced Smart Locker Security System with GSM SMS and Telegram Intruder Notification. 6.IoT-Driven Digital Locker with Multi-Factor Authentication and Image Surveillance. 7.Design of a Secure Embedded Locker System with Biometric and OTP Access Control. 8.Development of a Smart IoT Locker with Fingerprint Authentication and Intruder Detection. 9.Secure Smart Locker System with GSM Alert and Real-Time Camera Surveillance. 10.An Intelligent Locker Security Architecture using Raspberry Pi Pico and ESP32-CAM. 11.Next-Generation Smart Locker with Multi-Factor Authentication and Intruder Capture. 12.IoT-Enabled Smart Vault System with Biometric Access and Remote Alert. 13.Embedded Smart Locker with Fingerprint Authentication and GSM Notification. 14.AIoT-Based Secure Locker System with OTP Verification and Intruder Photo Alert. 15.Smart Anti-Theft Locker with Biometric Authentication and Telegram Notification. 16.IoT Surveillance Locker with Real-Time Intrusion Detection and SMS Alert. 17.Multi-Authentication Smart Locker using Fingerprint, OTP, and Camera Monitoring. 18.Secure IoT Locker System with GSM Communication and Image Alert. 19.Smart Access Control Locker using Raspberry Pi Pico and ESP32-CAM. 20.Advanced Embedded Locker Security with Intruder Image Capture System. 21.Design and Implementation of a Multi-Factor IoT Locker Security System. 22.IoT-Based Embedded Locker with Biometric Authentication and Remote Monitoring. 23.Secure Access Control Framework for Smart Lockers using IoT Technologies. 24.Development of an Embedded Smart Locker with Real-Time Intrusion Alert. 25.Biometric and OTP Enabled Secure Locker with GSM and Camera Surveillance. 26.IoT-Integrated Digital Locker System with Multi-Layer Authentication. 27.Design of an Intelligent Smart Locker using Raspberry Pi Pico. 28.Development of an IoT Surveillance Locker with Intruder Detection. 29.A Multi-Factor Authentication System for Secure Digital Lockers. 30.Smart IoT Locker with Biometric Identification and Remote Alert Mechanism. 31.Smart Guardian Locker with Biometric and OTP Security. 32.Triple-Shield Smart Locker Security System. 33.Smart Anti-Theft Locker with Intruder Photo Capture. 34.SecureX Smart Locker with Multi-Layer Authentication. 35.Digital Security Locker with Fingerprint and Mobile Alert. 36.IoT Smart Safe Locker with Real-Time Intruder Detection. 37.Next-Gen Smart Locker with Camera-Based Intrusion Alert. 38.Smart Digital Locker with Biometric and OTP Protection. 39.Intelligent Security Locker with SMS and Camera Alerts. 40.Ultra-Secure Smart Locker with Biometric Authentication.
https://www.youtube.com/watch?v=PBpG40nH68s Most portable computers are sealed boxes, which is exactly what makes them frustrating for anyone who wants to experiment with electronics.You can run code on a laptop, but try wiring a temperature sensor or an infrared transmitter directly to it, and you'll...
How to Make a Simple Arduino Uno Project for Beginners #viralvideo #shortvideo
Dosto, aaj ke is video mein maine Arduino Uno ka use karke ek naya aur interesting project banaya hai. Agar aap electronics mein naye hain ya DIY projects pasand karte hain, toh ye video aapke liye bahut helpful hone wali hai.
Agar aapko ye video pasand aaye toh Like karein aur channel ko Subscribe karna na bhoolein aise hi aur bhi electronics projects dekhne ke liye!
Arduino Project Automatic Gate Smart Barrier, Arduino Uno Sensor Project DIY Electronics ultrasonic Sensor Project Servo Motor Arduino Smart City Project School Science Project Project Motion Arduino Hindi Automatic Door Opener Robotics Engineering Project.
Remember those brick cellphones in the 1990s? They were comically large by today’s standards. These phones used the 1G network to communicate and, as such, have been unusable for decades now. Howeve...
Having trouble uploading code to your microcontroller? This tech tutorial guides you through common issues like incorrect pin connections, specifically with TX/RX pins, and provides a clear solution by using alternative pins. Learn how to successfully upload code to your arduino uno using the arduino ide and master essential electronics for problem solving.
We take a close look at the M5STACK LLM 8850, an exciting new piece of ai hardware designed to boost the capabilities of the raspberry pi. This tech review highlights its features and how it facilitates efficient llm inference for various iot projects. See how this module simplifies local AI processing!
Miktver Display: 30% off code: 30% Off Code:4T5UL2Y9 https://amzn.to/3MEBshq ----------------------------------------------------------------------------------------------------------------------------------------------------------- Support Our Awesome Developers:
00:00 AI Accelerators for Raspberry Pi 5 00:28 Introducing the M5Stack LLM8850 01:10 Do You Need an AI Accelerator? (Jeff Geerling Mention) 02:01 LLM8850 Hardware Overview 02:35 Full Specs: 24 TOPS AI Accelerator 03:52 Required M.2 HAT for Raspberry Pi 5 04:41 Rockchip Compatibility Concerns 05:09 M5Stack AI Pyramid SBC 06:04 Power Requirements & Fan Noise 07:06 Enabling PCIe on Raspberry Pi 5 08:45 Waveshare Dual M.2 HAT Setup 09:54 Final Thoughts: Running Local AI
Can This Tiny Raspberry Pi Replace a PC? 🤯 Full Test & Review#youtubevideo#shorts#viralvideo
This video shows a complete review of a mini CPU built using the Raspberry Pi 3 Model B+. In this project I created a compact mini computer setup with a cooling fan and power supply for stable performance. In this video you will see the full setup process, specifications, board design, and real working demonstration. I also boot the system and run Raspberry Pi OS to show how this tiny computer works like a real desktop. Topics covered in this video: • Raspberry Pi 3B+ specifications • Mini CPU build with cooling fan • Booting Raspberry Pi OS • Board design and components • Built-in WiFi and Bluetooth connectivity • Real life applications and use cases • Budget friendly mini computer setup The Raspberry Pi is widely used for robotics, IoT systems, automation projects, and learning programming. Despite its small size, it offers powerful features and endless possibilities for students, makers, and engineers. If you enjoy technology, electronics projects, and innovation, this mini CPU project will inspire you to build your own Raspberry Pi system. Like the video, subscribe for more tech experiments, and comment what project you would build using Raspberry Pi. raspberry pi 3b+ mini cpu build raspberry pi mini computer raspberry pi project raspberry pi full review raspberry pi os demo mini pc raspberry pi raspberry pi setup raspberry pi beginner project raspberry pi tech review mini computer project raspberry pi boot raspberry pi wifi bluetooth raspberry pi electronics project budget mini pc #RaspberryPi #MiniCPU #TechProject #RaspberryPi3BPlus #MiniComputer #ElectronicsProject #IoT #Robotics #TechReview #DIYTech
You can get an IDE to USB bridge from all the usual sources, but you may find those fail on the older drives in your collection-- apparently they require drives using logical block addressing, which d...
En este video te enseño cómo construir tu propio medidor de energía eléctrica casero, utilizando un pequeño recipiente un SP 32, y por supuesto una pantalla para poder visualizar el voltaje de los vatios y el costo generado por consumo eléctrico
This video is a full walkthrough of my Solar Kiln + OTGRND RMS (Remote Monitoring System) build — even though I didn’t capture a ton of the early construction on camera. I used SketchUp screen recordings and other data I have gathered to show the kiln layout and sensor placement, plus some of the data we are getting in.
Most importantly: I now have about a week of real kiln data to review. The environment readings are looking good, but the moisture content (MC) channels got noticeably noisier once the probes moved from my office test setup out to the kiln with longer cable runs. In this video I touch on that, and what we’re going to test next.
A big part of this project has been working with my AI engineering buddy; It has named itself "Sage"… weird huh?? (AKA ChatGPT) to iterate quickly on firmware, payloads, troubleshooting ideas, and test plans — and you’ll see how that helped keep momentum.
Next improvements we’re working on • New firmware that exposes MC sensor parameters (settle time / sampling / etc.) so I can tune it without constant rebuilds • Kiln airflow baffling: using barriers to force air through the stack instead of short-circuiting • User ideas: List them in the comments, I’d love to try some of your ideas to see if we can get this solar Kiln working in the best possible way. What is cool is we can see the changes in the data and see if things really helped or not
I’d love your help (seriously) If you’ve built a solar kiln or you’ve dealt with long-run analog sensor noise: • Best practices for air baffling and intake/exhaust placement? • Any other idea??? Drop ideas in the comments — I’ll incorporate the best ones in the next iteration. ________________________________________ Hardware / Stack • Heltec ESP32-S3 LoRa nodes (kiln node + base receiver) • LoRa link to base station • Raspberry Pi running Mosquitto MQTT + bridge service • Key=value payload schema (simple, debuggable) SCHEMA • Serial → MQTT bridge that routes events/telemetry
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