Remote Controlled Car using Raspberry Pi and Webcam



First thing I tackled was setting up the L293D H-Bridge on the Bread Board, I found the following YouTube video fantastic for explaining this chip:

I also found myself referencing the following Diagram a couple times.

Step one is connecting your chip down the center of your board:

From here I connected the 3 power pins to my board’s power rail using a few Jumpers:

A few more Jumpers connect each side of the chip to ground:

Finally I use a couple Wires to connect both sides of my power and ground rails:

Using a little bit of double sided tape I stick my board onto the Car Chassis:

I also wired up each DC motor, and the battery pack to the board:

Next I wired up my Raspberry Pi‘s GPIO pins, connecting them to the L293D.

Once I’ve verified the GPIOs were connected properly, I used a couple rubber bands to strap the Pi, Portable USB Charger (I used a Vans Shoe Charger) and Web Cam to the cassis:


On the Raspberry Pi I’m using Raspbian as the operating system, and installed a couple pieces of software:

* nginx
* Flask
* Rpi.GPIO

My nginx configuration is really basic and looks like this:

server {
 listen 80 default_server;
 listen [::]:80 default_server;

 root /var/www/html;

 location /stream {
   proxy_pass http://localhost:8080/?action=stream;
   proxy_set_header Content-Type "image/jpeg";

 location / {
   proxy_pass http://localhost:8000;


The Flask application is a bit janky, but gets the job done:

import RPi.GPIO as GPIO
from flask import Flask, render_template
from flask import request


GPIO.setup(14, GPIO.OUT)
GPIO.setup(15, GPIO.OUT)

GPIO.setup(23, GPIO.OUT)
GPIO.setup(24, GPIO.OUT)

app = Flask(__name__)

def index():
    return render_template('index.html')

def left():
    method = request.args.get('method')
    if method == 'stop':
        sig = GPIO.LOW
        sig = GPIO.HIGH

    GPIO.output(23, sig)
    return "OK"

def forward():
    method = request.args.get('method')
    if method == 'stop':
        sig = GPIO.LOW
        sig = GPIO.HIGH

    GPIO.output(15, sig)
    GPIO.output(24, sig)
    return "OK"

def backward():
    method = request.args.get('method')
    if method == 'stop':
        sig = GPIO.LOW
        sig = GPIO.HIGH

    GPIO.output(14, sig)
    GPIO.output(23, sig)
    return "OK"

def right():
    method = request.args.get('method')
    if method == 'stop':
        sig = GPIO.LOW
        sig = GPIO.HIGH

    GPIO.output(14, sig)
    return "OK"

if __name__ == "__main__":'', port=8000, debug=True)

While the template contains a bit of Javascript to handle button presses:




<link rel="stylesheet" href="" integrity="sha384-BVYiiSIFeK1dGmJRAkycuHAHRg32OmUcww7on3RYdg4Va+PmSTsz/K68vbdEjh4u" crossorigin="anonymous">

  img {
      margin-top: 25px;
      margin-bottom: 25px;


<script src="" integrity="sha384-Tc5IQib027qvyjSMfHjOMaLkfuWVxZxUPnCJA7l2mCWNIpG9mGCD8wGNIcPD7Txa" crossorigin="anonymous"></script>


// define our fired states to false
var forward_fired = false;
var backward_fired = false;
var left_fired = false;
var right_fired = false;

// keydown event will start motor
document.onkeydown = function() {

    if(event.keyCode == 87) {

        if(!forward_fired && !backward_fired) {
            forward_fired = true;

            button = document.getElementById('up');
            button.className = 'btn btn-success btn-lg disabled';

            console.log('start forward');

    if(event.keyCode == 83) {
        if(!backward_fired && !forward_fired) {
            backward_fired = true;

            button = document.getElementById('down');
            button.className = 'btn btn-success btn-lg disabled';

            console.log('start backward');

    if(event.keyCode == 65) {
        if(!left_fired && !right_fired && !backward_fired) {
            left_fired = true;

            button = document.getElementById('left');
            button.className = 'btn btn-success btn-lg disabled';

            console.log('start left');

    if(event.keyCode == 68) {
        if(!right_fired && !left_fired && !backward_fired) {
            right_fired = true;

            button = document.getElementById('right');
            button.className = 'btn btn-success btn-lg disabled';

            console.log('start right');


// keyup event will stop motor
document.onkeyup = function() {

    if(event.keyCode == 32) {

    if(event.keyCode == 87) {
      if(forward_fired) {
        forward_fired = false;

        button = document.getElementById('up');
        button.className = 'btn btn-default btn-lg disabled';

        console.log('stop forward');

    if(event.keyCode == 83) {
      if(backward_fired) {
        backward_fired = false;

        button = document.getElementById('down');
        button.className = 'btn btn-default btn-lg disabled';

        console.log('stop backward');

    if(event.keyCode == 65) {
      if(left_fired) {
        left_fired = false;

        button = document.getElementById('left');
        button.className = 'btn btn-default btn-lg disabled';

        console.log('stop left');

    if(event.keyCode == 68) {
      if(right_fired) {
        right_fired = false;

        button = document.getElementById('right');
        button.className = 'btn btn-default btn-lg disabled';

        console.log('stop right');





<div class="container">
  <div class="row">

      <img src="/stream" class="img-thumbnail">


<!-- control buttons -->
<div class="container">
  <div class="row">


      <button id="left" type="button" class="btn btn-default btn-lg disabled">
        <span class="glyphicon glyphicon-arrow-left" aria-hidden="true"></span>

      <button id="up" type="button" class="btn btn-default btn-lg disabled">
        <span class="glyphicon glyphicon-arrow-up" aria-hidden="true"></span>

      <button id="down" type="button" class="btn btn-default btn-lg disabled">
        <span class="glyphicon glyphicon-arrow-down" aria-hidden="true"></span>

      <button id="right" type="button" class="btn btn-default btn-lg disabled">
        <span class="glyphicon glyphicon-arrow-right" aria-hidden="true"></span>





I haven’t yet configured the Flask and mjpg-streamer processes to startup automatically, so I connect via a shell and start each in a screen session.

Once that is done connect to the running nginx server using your browser, you should be presented with a user interface similar to this:

Use your keyboard to control the car, just like a video game the key W moves forward, S backwards, A left, and D is right.

Component List

Here is a list of each of the components (or comparable) I used during the setup:

Raspberry Pi 3 Model B Motherboard

Official Raspberry Pi 3 Case – Red/White

uxcell White 8.5 x 5.5cm 400 Tie Points 400 Holes Solderless Breadboard

Microsoft LifeCam HD-3000 Webcam – Black (T3H-00011), 720p HD 16:9 Video Chat, Skype Certified

INSMA Motor Smart Robot Car Chassis Kit Speed Encoder Battery Box For Arduino DIY

Adafruit Dual H-Bridge Motor Driver for DC or Steppers – 600mA – L293D [ADA807]

Kuman 120pcs Breadboard Jumper Wires for Arduino Raspberry Pi 3 40pin Male to Female, 40pin Male to Male, 40pin Female to Female Ribbon Cables Kit Multicolored Pack K45

Makerfocus 140pcs Breadboard Board Jumper Cable Wire Kit w Box

Happy Will 200 PCS Breadboard Jumper Wires/Jump Wire Mix Long and Short M/M for Circuit Board

Anker Astro E1 5200mAh Candy bar-Sized Ultra Compact Portable Charger (External Battery Power Bank) with High-Speed Charging PowerIQ Technology (Black)

Python says, Simon’s hipster brother

Many of you may remember playing with a Simon Electronic Memory Game when you were younger, you know something that looks like this:

At it’s core the game is rather simple, the device lights up random colors, and you need to repeat the pattern. Of course it gets harder the longer you play.

I thought it would be fun to build a Simon game using Raspberry Pi and a few electronic components:

I used the following components to assemble the project:

  • Raspberry Pi 3
  • 3x 330 Ohm resistor
  • 3x 1k Ohm resistor
  • White LED
  • Blue LED
  • Red LED
  • Breadboard
  • Assortment of wires

Here is a close up of the bread board and components:

The Raspberry Pi’s GPIO pins are then connected to the bread board,
and a small Python script powers the Simon game:

from RPi import GPIO

from sys import exit
from random import choice
from time import sleep

# define our pins for leds
white = 14
blue = 15
red = 18

# define our pins for buttonss
white_button = 21
blue_button = 20
red_button = 16

# disable warnings

# set the board to use broadcom pin numbering

# setup our LED pins as output
GPIO.setup(white, GPIO.OUT)
GPIO.setup(blue, GPIO.OUT)
GPIO.setup(red, GPIO.OUT)

# setup our buttons as input
GPIO.setup(white_button, GPIO.IN)
GPIO.setup(blue_button, GPIO.IN)
GPIO.setup(red_button, GPIO.IN)

# create empty pattern list for simon says game
pattern = []

# create a list of our choices for simon says game
choices = [white, blue, red]

# starting difficulty based on blink durations
duration = 0.75

def add_color():
    Append a random color to our pattern list

    color = choice(choices)

def get_button():
    Gets the next button press and returns

    while True:
        if GPIO.input(white_button):
            return white

        if GPIO.input(blue_button):
            return blue

        if GPIO.input(red_button):
            return red

def blink(led, duration):
    Blink a led for duration

    GPIO.output(led, GPIO.HIGH)
    GPIO.output(led, GPIO.LOW)

def blink_pattern(duration):
    Blinks our pattern using duration as waits

    for led in pattern:
        blink(led, duration)

def check_pattern():
    Checks our button presses against pattern

    for led in pattern:    
        if led != get_button():
            return False
        sleep(0.3)  # delay so button press doesn't overlap
    return True

def game_over():
    Game over function

    print 'Pattern Length: {}'.format(len(pattern))
    print '''
       _____          __  __ ______    ______      ________ _____  
      / ____|   /\   |  \/  |  ____|  / __ \ \    / /  ____|  __ \ 
     | |  __   /  \  | \  / | |__    | |  | \ \  / /| |__  | |__) |
     | | |_ | / /\ \ | |\/| |  __|   | |  | |\ \/ / |  __| |  _  / 
     | |__| |/ ____ \| |  | | |____  | |__| | \  /  | |____| | \ \ 
      \_____/_/    \_\_|  |_|______|  \____/   \/   |______|_|  \_\


    # blink all leds to show game over
    for _ in range(3):
        for c in choices:
            blink(c, duration=0.1)


if __name__ == '__main__':

    # populate initial pattern

    while True:

        # blink back pattern

        # check if our inputs were correct, else end game
        if not check_pattern():

        # add a new color to pattern

        # decrease our duration to increase difficulty
        if duration > 0.05:
            duration -= 0.07

Happy Hacking!

Arduino values to Python over Serial

I’ve done a little bit of reading on the ReadAnalogVoltage of Arduino’s home page, and they give a straight forward way to read voltage from an analog pin.

I wanted to take this one step further and send the value over serial, then read it in Python using pySerial.

My setup is very straight forward, I have a Arduino UNO, a bread board, and a battery pack holding 4x AA batteries:


To start out I want to merely print the voltage value in Arduino Studio to the serial console, my code looks something like this:

void setup() {
  // connect to serial

void loop() {

  // read value from analog pin
  int sensorValue = analogRead(A0);
  // convert to voltage and print to serial connection
  float voltage = sensorValue * ( 5.0 / 1023.0 );


Now that we’ve verified this works, lets make a couple modification to the Arduino code.

Since the value of the analogRead may be over 255 (more than can fit in a single byte), we will need to send two bytes, a high byte, and a low byte. This concept is called most significant byte, and least significant byte.

void setup() {
  // connect to serial

void loop() {

  // read value from analog pin
  int sensorValue = analogRead(A0);
  // get the high and low byte from value
  byte high = highByte(sensorValue);
  byte low = lowByte(sensorValue);

  // write the high and low byte to serial


Then on the Python side we can use pySerial to read two bytes, and convert using the formula Arduino gave us.

import serial

# open our serial port at 9600 baud
dev = '/dev/cu.usbmodem1411'
with serial.Serial(dev, 9600, timeout=1) as ser:

  while True:

    # read 2 bytes from our serial connection
    raw =

    if raw:

      # read the high and low byte
      high, low = raw

      # add up our bits from high and low byte
      # to get the final value
      val = ord(high) * 256 + ord(low)

      # print our voltage reading
      print round(val * ( 5.0 / 1023.0), 2)

One thing to take into consideration is, if we do not have voltage sent to the analog pin the result will be random and invalid. You will see this in the video before I connect the battery pack. Keep in mind my battery pack is producing about 5 volts:

Python Machine Learning with Presidential Tweets

I’ve been spending a little bit of time researching Machine Learning, and was very happy to come across a Python library called sklearn.

While digging around Google, I came across a fantastic write up on Document Classification by Zac Steward. This article went pretty deep into writing a spam filter using machine learning, and sklearn. After reading the article I wanted to try some of the concepts, but had no interest in writing a spam filter.

I decided instead to write a predictor using Tweets as the learning source, and what better users than the US Presidential candidates!

Let me forewarn, this is merely using term frequencies, and n-grams on the tweets, and probably isn’t really useful or completely accurate, but hey, it could be fun, right? 🙂

In [1]: tweets = get_tweets('HillaryClinton')
In [2]: tweets = get_tweets('realDonaldTrump')

In [3]: h = get_data_frame('HillaryClinton')
In [4]: t = get_data_frame('realDonaldTrump')

In [5]: data = merge_data_frames(t, h)

A good baseline might be to predict on an actual tweet the candidate has posted:


In [1]: predict(data, 'The question in this election: Who can put the plans into action that will make your life better?')
('realDonaldTrump', 0.15506298409438407)
('HillaryClinton', 0.84493701590561299)

Alright that is an 84% to 15% prediction, pretty good.


In [1]: predict(data, 'I won every poll from last nights Presidential Debate - except for the little watched @CNN poll.')
('HillaryClinton', 0.069884565641135613)
('realDonaldTrump', 0.93011543435886102)

This prediction is giving a 93% to 6%, even better.

Now lets have a little fun by throwing in things we would assume, but the candidates did not post:

In [1]: predict(data, 'I have really big hands')
('HillaryClinton', 0.39802148371499757)
('realDonaldTrump', 0.60197851628500265)

In [2]: predict(data, 'I am for woman rights')
('realDonaldTrump', 0.3698772371039914)
('HillaryClinton', 0.63012276289600766)

We could also feed in some famous quotes:


In [1]: predict(data, "Two things are infinite: the universe and human stupidity; and I'm not sure about the universe.")
('realDonaldTrump', 0.28321206465202214)
('HillaryClinton', 0.71678793534798135)


In [1]: predict(data, 'A room without books is like a body without a soul.')
('realDonaldTrump', 0.39169158094239315)
('HillaryClinton', 0.60830841905760524)

Alright, so go have a look at the code, you can find it on my Github page.

Happy Hacking!

Arduino meet Raspberry Pi

While at the electronics store the other day, I noticed they had motion detectors on sale for only $4. I decided with my latest obsession of electronic tinkering, picking up a OSEEP Passive Infrared Sensor (PIR) Module might be fun.

I guess I should have done a little more reading on the packaging; by the time I was home, I noticed this sensor reported in analog, not digital. This was an issue as the Raspberry Pi only reads digital input.

Lucky for me, I also picked up an Arduino UNO Starter Kit awhile back. I decided this would be a great time to learn more about converting analog signals to digital (one great thing about the UNO is that it has both digital and analog input/output pins).

As an extra, I learned the Nexcon Solar Charger 5000mAh I bough for hiking and camping works great as a Raspberry Pi power source, in theory I can have a portable motion detector 😀



The wiring is rather basic, there is no need for resistors or capacitors, just direct connections.

* Connect motion sensor to the Adruino’s 5v power and ground.
* Connect motion sensor’s signal pin to Analog A0 pin on Adruino
* Connect Adruino’s Digital 2 pin to Raspberry Pi’s GPIO 18
* Connect Andruino’s ground to Raspberry Pi’s Ground


Once we are wired up, we can compile and upload the Arduino UNO code using Arduino Studio.


OSEPP Motion detector analog to digital convertor

int analog = A0;
int digital = 2

void setup(){

 // set our digital pin to OUTPUT
 pinMode(digital, OUTPUT);

void loop()

 // read value from analog pin
 int analog_value = analogRead(analog);

 // send digital signal when motion detected
 if (analog_value > 0) {
   digitalWrite(digital, HIGH);
 } else {
   digitalWrite(digital, LOW);

 delay(100); // slow down the loop just a bit

This Arduino code will read analog input from our motion detector, and any time more than 0v is detected it sends a signal to digital pin 2.

Raspberry Pi (Python)

import time
from datetime import datetime

import RPi.GPIO as GPIO

GPIO.setup(18, GPIO.IN)

def detect():
  while True:
    if GPIO.input(18):
      print '[%s] Movement Detected!' %

detect()  # run movement detection

On the Raspberry Pi side we will listen for signal on GPIO pin 18, and print out a little message, and timestamp.


From here we can do all sort of things, Happy Hacking!