Tuesday, January 16, 2018

Robot Project: Gesture Controlled Robot Using Raspberry Pi by John

Eltronicschool. - This is one robot project for you who want to explore your knowledge and ability to build robotic in this time. In this project we will show you gesture controlled robot using Raspberry Pi that written by John.

Image Courtesy of http://www.circuitstoday.com

Beside we will show component part that needed in this project, we also will give you global description about this project and we will allow you to read more this project from original source using the link given.

Component Part

  1. Raspberry Pi
  2. Memory Card
  3. Accelerometer ADXL 345 or MPU6050
  4. RF Modul RF Tx and Rx 434
  5. Power supply 5 V mini USB adapter for Rpi 12 V Battery for Robot
  6. Wires Female to male & Male to female
  7. Encoder HT12E (prefer Module)
  8. Decoder HT12D (prefer Module)
  9. Motor Driver L293D (prefer Module)

Description

This is robot project with build gesture controlled robot using Raspberry Pi. Have you ever tired of controlling everything with buttons? Thought of controlling something with simple hand movements by sitting on your lazy couch? If yes, then you are at the right site. In this tutorial we are going to control a robot driven by two DC motors by simply using hand movements. There are different kind of sensors to detect your hand movement like flux sensors, Accelerometers and other gravity based sensors. So for wireless transmission we are going to use RF 434 module which transmit 4 bit data. 4 bit data means you can transmit 16 different combinations i.e., 0000 to 1111. Further in this tutorial we will use an encoder and decoder to avoid interference in the air interface. A motor driver will drive the motors from using the decoder data.

We use our Raspberry pi at the transmitter end to analyze the sensor data and to transmit a data combination to the motor driver to drive the motors accordingly so that the robot can hover around. We will be using a 12 V battery on robot to power the decoder module, receiver module and the motors. At the transmitter end sensors and transmitter encoder module is powered by raspberry pi itself.

And now you can read more the robot project with gesture controlled robot using Raspberry Pi from original source using link HERE.

Wednesday, January 10, 2018

Arduino Project: Metal Detector using Arduino Nano

Eltronicschool. - This is one of the best Arduino project for you who want to develop your ability in metal detector system in this time. This article will discuss to you about how to build metal detector using Arduino Nano.

Beside we will give you the circuit schematic of metal detector using Arduino Nano and also the simple description of this project, and the last we will give you the link to read more about this project from original source.

Circuit Schematic

Component Part
  1. Arduino Nano
  2. Coil
  3. 10nF capacitor
  4. Buzzer
  5. The 1k resistor
  6. 330-ohm resistor
  7. LED
  8. 1N4148 diode
  9. Breadboard or PCB
  10. Connecting jumper wire
  11. 9v Battery
Description

Circuit schematic like in Figure 1 above is metal detector using Arduino Nano. Accordingly Circuit Digest site describe that Metal Detector is a security device which is used for detecting metals which can be harmful, at various places like Airports, shopping malls, cinemas etc. Previously we have made a very simple Metal detector without a microcontroller, now we are building the Metal Detector using Arduino. In this project, we are going to use a coil and capacitor which will be responsible for the detection of metals. Here we have used an Arduino Nano to build this metal detector project. This is very interesting projects for all electronics lovers. Wherever this detector detects any metal near it, the buzzer starts beeping very rapidly.

Arduino Nano is used for controlling whole this Metal Detector Project. A LED and Buzzer are used as metal detection indicator. A Coil and capacitor is used for detection of metals. A signal diode is also used for reduce the voltage. And a resistor for limiting the current to the Arduino pin.

Saturday, January 6, 2018

Color CMOS 24-Megapixel Image Sensor with PureCel Plus-S Technology by Electronic Foru

Eltronicschool. - When you want to update your information about sensor technology in this time specially with image sensor, you can read more about this article titled with Color CMOS 24-Megapixel Image Sensor with PureCel Plus-S Technology that published in Electronic Foru site.

Image Courtesy of https://electronicsforu.com/

The OV24A sensors are OmniVision’s first sensors with 0.9-micron pixels. Built on PureCel Plus stacked-die architecture, the sensors offer quantum efficiency performance matching that of the latest 1.0-micron pixel sensors. The combination of smaller pixels, higher resolution and improved performance makes the OV24A sensors an ideal camera solution for front- and rear-facing camera applications in high-end smartphones.

The OV24A sensor family consists of three individual products: OV24A1Q, OV24A1B and OV24A10.

The OV24A1Q, with its unique four-cell color-filter pattern, is ideal for front-facing camera applications. This sensor has an on-chip, in-pixel binning feature that captures four times more light photons than a standard 0.9-micron pixel, enabling better image quality in low-light conditions.


When used as the primary, rear-facing camera in a dual-camera configuration, the OV24A1B (monochrome) and OV24A10 (Bayer) sensors enable higher zoom ratios and higher-quality still images and video even in low-light conditions.

And now you can read more this article titled with Color CMOS 24-Megapixel Image Sensor with PureCel Plus-S Technology by Electronic Foru, using link HERE.

Tuesday, January 2, 2018

The Scientist & Engineer's Guide to Digital Signal Processing 1st Edition by Steven W. Smith

Eltronicschool. - This is one of the best digital signal processing book for you who want to learn more about digital signal processing in this time. This book is titlled The Scientist & Engineer's Guide to Digital Signal Processing 1st Edition that written by Steven W. Smith.
Image Courtesy of Amazon.com

In here we will give you global description about htis book of The Scientist & Engineer's Guide to Digital Signal Processing 1st Edition by Steven W. Smith and then we will give you some opinion of the reviewer of this book and the last we will give you link to read more this a book.

From editorial review of Amazon site describe that this is the hardcover edition of Smith's classic book. It is also available in softcover under the title: "Digital Signal Processing: A Guide for Engineers and Scientists." The softcover version is slightly less expensive, while the hardcover edition contains an additional 23 page study guide to help newcomers to DSP. The Author's recommendation: Choose the hardcover edition if you will need DSP in the future, and the softcover version if your need is only short-term.

Jerald M. Cogswell review that said "I started reading this book online by chapters because I wanted to learn about Fourier Transforms. That reading exceeded my expectations on my understanding without getting deep into the weeds of mathematics. I was reading it online so often, I decided to go for this hard copy. I find new chapters in the hard copy such as digital image processing and the Z-transform that were not in the online version. The chapters are well organized and any engineer or serious experimenter or inventor will be able to select a specific topic and understand the concepts of Digital Signal Processing without a deep mathematics background. You will need a good foundation in high school Analytic Geometry and the Pythagorean Theorem. Basic calculus would help but you only need to understand logarithms and what the Sigma summation symbol means. With that basic understanding, you will be on your way to being a DSP expert."

Kimberly Craft review that said "This is an excellent college-level introduction to digital signal processing, especially if you wish to learn more about the underlying theory and application; i.e., how signal processing actually works. Yes, there is some math, but it's not the primary focus, and the author is very upfront about this. The author's style is conversational and friendly, and he provides plenty of examples, graphs and pictures, with a focus on the actual mechanics of signal processing. This is in contrast to a number of DSP texts that emphasize the underlying mathematics over the mechanics, some to the point where one wonders how the actual mechanics of signal processing even work. This book fills in those gaps. It should probably be read before taking on a math-heavy course or used in conjunction with one. I would recommend it as a primer or tutorial before beginning a typical engineering course in DSP or to have on hand while working with the standard math-heavy text. It will really fill in the knowledge gaps."

And now you can read more about this The Scientist & Engineer's Guide to Digital Signal Processing 1st Edition by Steven W. Smith from original source using link HERE

Wednesday, December 27, 2017

Microcontroller Projects: Musical Keyboard Using ATMEGA8 with Tune Record, Save and Playback Options

Eltronicschool. - This is one of the best project for you who want to develop your ability in ATMEGA8 programming and design in this time. This article will discuss to you about how to build music keyboard using ATMEGA8 completed with tune record, save and playback option.

Beside we will give you the circuit schematic of Musical Keyboard Using ATMEGA8 with Tune Record, Save and Playback Options and also the simple description of this project, and the last we will give you the link to read more about this project from original source.

Circuit Schematic

Component Part
  1. ATMEGA8
  2. 4017 IC
  3. Resistors
  4. Octave Switch
  5. Transistor
  6. Buzzer
Description

Circuit schematic like in Figure 1 above is Musical Keyboard Using ATMEGA8 with Tune Record, Save and Playback Options. This article aims at developing a Monophonic (Single note) musical keyboard by generating the musical notes frequencies using a microcontroller (ATMEGA8). The project presented in this article is a 12 Key, Monophonic keyboard with the options.

By using a microcontroller with digital outputs, it is possible to generate square waves with the frequencies of musical notes. The 16-Bit timer-counter of the microcontroller is utilized to generate a square wave with desired frequency. The timer counter is operated in CTC Mode (Clear Timer on Compare Match). Each time when a match occurs between the TCNT1 Value and the Output Compare Registers, the Output Compare 1A Pin is toggled. Every time when a key is pressed, the Output Compare Registers of the Timer1 are loaded with a value corresponding to the frequency of the pressed key. 

And now you can read more about this article Musical Keyboard Using ATMEGA8 with Tune Record, Save and Playback Options from original source using link HERE.

Wednesday, December 13, 2017

Circuit Schematic DC Changeover System with Battery Protection Unit using CA3140

Eltronicschool. - This is one circuit schematic for you who want to build DC changeover system in this time. Now, you can use the circuit schematic of DC Changeover System with Battery Protection Unit using CA3140 look like shown in Figure 1 below.

In this time, eside we will show you circuit schematic, we also will give you the description of this circuit and the last we will give you the link to read more about this circuit schematic from original source.

Circuit Schematic

Figure 1. Circuit Schematic DC Changeover System with Battery Protection Unit using CA3140 (Source: https://electronicsforu.com)

Component Part
  1. CA3140 IC
  2. Transistors
  3. Diodes
  4. LEDs
  5. Zener Diodes
  6. Resistors
  7. Relays
  8. Bridge Diode
  9. LM7806
  10. Transformer
  11. Capacitor
Description

Circuit schematic like in Figure 1 above is DC Changeover System with Battery Protection Unit using CA3140. Electronicsforu site describe that tthe AC mains is stepped down by transformer X1 (230V AC primary to 9V AC, 1A secondary), rectified by bridge rectifier BR1, filtered by capacitor C1 and regulated by IC 7806 (IC1) to get regulated 6V DC power supply.

The changeover circuit is built around IC1. When AC mains is available, npn transistor T1 (BC548) conducts to energise relay RL1 (6V, 100-ohm) and green LED1 glows to indicate the presence of AC mains. At the same time, the regulator’s output feeds the load through the normally-opened (N/O) contact of relay RL1 and the normally-closed (N/C) contact of relay RL3. When the battery is charging, power LED1 glows.

When AC mains fails, transistor T1 cuts off and relay RL1 de-energises. As a result, the load is now powered by the 6V battery through the N/C contact of relay RL1. Green LED1 stops glowing to indicate that AC mains is not present, and the load works off the battery.

And now you can read more about the DC Changeover System with Battery Protection Unit using CA3140 circuit schematic from original source using link HERE.

Saturday, December 2, 2017

Microcontroller Project: Gesture Controlled Mouse Using Arduino Nano and Accelerometer

Eltronicschool. - This is one of the best project for you who want to develop your ability in Arduino programming and design in this time. This article will discuss to you about Arduino Nano and accelerometer for gesture controlled mouse.

Beside we will give you the circuit schematic of gesture controlled mouse using Arduino Nano and also the simple description of this project, and the last we will give you the link to read more about this project from original source.

Circuit Schematic

Figure 1. Circuit schematic of Gesture Controlled Mouse Using Arduino Nano and Accelerometer (Source: Circuitstoday)

Component Part
  1. MPU 6050
  2. Arduino Nano
  3. ASK433
Description

Circuit schematic like in Figure 1 above is Gesture Controlled Mouse Using Arduino Nano and Accelerometer. AIR Mouse is also called gesture-controlled mouse and it works based on hand gesture. In this project an accelerometer is used for measuring the tilt of hand in X and Y direction and moves the cursor according the tilt.

In the project two types of circuit are used, one is the transmitter circuit and other is the receiver circuit. Transmitter circuit makes use of MPU6050 series of accelerometer, which is connected to Arduino through I2C communication. The data is transferred to receiver Circuit using RF module, ASK433. Two switches are also used in transmitter circuit to work as Left Click and Right Click.

In the receiver side an Arduino Leonardo is used. The purpose of using Arduino Leonardo is that it supports HID (Human Interface Device). HID allows us to control the mouse and Keyboard of our PC or Laptop.

And now you can read more about this article Gesture Controlled Mouse Using Arduino Nano and Accelerometer from original source using link HERE.

Monday, November 27, 2017

Electronic Project: Voice Controlled Lab Lights with Amazon Alexa and ESP8266

Eltronicschool. - This is one home IoT project in this time for you who want to control your lab light using voice with Amazon Alexa and ESP8266. So, in this project you should provide the Amazon Echo device to build this project.

Image Courtesy of http://www.electroschematics.com/

Accordingly Electroschematics describe that the Echo allows you to use voice commands to do things like order from Amazon, play music, set timers, and get the weather forecast.  By adding additional “skills”, it also allows you to integrate with smart home and Internet of Things (IoT) devices.

In this project you can integrated it with the Hue lights and my SmartThings hub by installing the relevant skills for those devices and was able to control everything with voice commands to Alexa.  But being a maker, you were not satisfied with just buying premade devices.  You wanted to be able to create my own smart IoT gadgets that you could use with the Echo.

You had recently installed an Adafruit analog LED light strip for task lighting in my home lab but you needed a better way to control it.  Adding voice control to it would be a great solution.


Around 8 feet long, the lighting strip contains 18 sets of 4 LEDs per foot, in red, green, blue, and white colors, and runs on 12 volt DC power. The LEDs are arranged in repeating sets of 3, each with current-limiting resistors.

Monday, November 20, 2017

Microcontroller Project: Car Speed Detector Using Arduino Nano

Eltronicschool. - This is one of the best project for you who want to develop your ability in Arduino programming and design in this time. This article will discuss to you about Arduino Nano for car speed detector.

Beside we will give you the circuit schematic of car speed detector using Arduino Nano and also the simple description of this project, and the last we will give you the link to read more about this project from original source.

Circuit Schematic

Component Part
  1. IR Sensor
  2. Arduino Nano
  3. LCD Module
Description

Circuit schematic like in Figure 1 above is Car Speed Detector Using Arduino Nano. In this project I am going to show you how to measure the speed of running car (or man) from outside. Police department uses this type of system to prevent over speed of vehicles. Our project is a little different from the system used by police but the overall car speed detector concept is same.

In this project, two IR sensors are placed apart on one side of road. When any vehicle crosses the sensors, the internal timer of Arduino counts the time between activation of sensor. Now speed is measured by using simple distance time relationship.

And now you can read more about this article Car Speed Detector Using Arduino Nano from original source using link HERE.