Third MRL tutorial -> take a photo (webcam) and send it by email using VOICE CONTROL (speech recognition and Text-to-speech)

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This tutorial shows how to take a photo (webcam) and send it by email using VOICE CONTROL...

WARN : There are 3 version of the python script

1) simple one - only take a photo using voice

2) full version - it requires a gmail address-take a photo + send it by email (SEE THE TUTORIAL)

3)full version ITA - for CIX, italian users, or who wants to listen the computer talking in italian :D

Good vision :D

 

Second MRL tutorial - tracking service with wiring diagram

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A tutorial that explain how to use tracking service in MRL...

Python Minimal script

[[service/Tracking.py]]

In this PICTURE I USED PIN 3 for X and PIN 11 for Y -> USE 13 FOR X AND 12 FOR Y INSTEAD !!!!!

First MRL Tutorial in ITALIAN...

Services: 

A tutorial that explain how to install MRL and how to use Arduino and Servo 's services in order to move a servo...

Lucas Kanade Optical Tracking (OpenCV - LKOpticalTrack Filter)

Lucas and Kanade developed an algorithm which allows tracking of object through a video stream.  The algorithm requires less resources and is usually faster in response than many other forms of tracking.  

Pros :

  • low resource
  • quick response time
  • can track many points at once

Cons:

Using the MRLClient

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Hardware: 

No additional hardware is needed for this tutorial

The MRLClient is a client adapter which allows other Java programs to interoperate with MyRobotLab.  Although the myrobotlab.jar can be included and used in a Java program directly, it may sometimes be desirable to communicate over the network with an adapter.

The MRLClient jar is a small binary which uses the network to send and recieve messages to a running MyRobotLab instance.  Other network adapters could be created for languages besides Java, but currently only Java is supported.

Connecting an Android Phone to Arduino using Bluetooth

Services: 

Additional Software

Arduino IDEArduinoSerialBare.PDE, MyRobotLab.apk

Hardware: 
  • Smartphone running Android 2.3.3 or later
  • LED
  • 1K resistor
  • Arduino bluetooth board, or Arduino clone with bluetooth module

 

Legacy Video Tutorial

Video Tutorial #1 (Overview)