Close

69 Results for "recognition"

  • Replication

  • Instructions on how you can build your own gesture detection glove! Get started by uploading the in the Arduino_Sketch folder onto an Arduino of your choice with a button and Adafruit LSM6DSOX 9dof IMU.Use the in the Training_Data folder. Initiate this...
  • DMM that listens and talks

  • Well that is for measurement part, for recognising the commands as you must have read above we are using this EasyVR module.  Check its manual for training part, and as there isnt a library available for it for AVR we have made it available on our...
  • Main guide

  • 1. Set up the Jetson Nano: follow the nvidia guide linked.https://developer.nvidia.com/embedded/learn/get-started-jetson-nano-devkit 2. Download multiple things related to the text recognition A.I: I followed a multitude of guides linked here.Main...
  • Autonomous bottle recycling robot

  • To build this robot simply look at all the documentation on GitHub. Mind you that the bottle recognition classifier was specifically trained on that arena with those bottles, if you want a robot that terrorizes your cat you'll have to train it in your...
  • DIY Autonomous Mobile Robot

  • Step 7: Working with Speech Recognition and SynthesisThe robot can take speech commands from master/user. I have used speech recognition/synthesis libraries to enable this feature. We can see how the recognition and synthesis works from the image gallery.In...
  • More Steps

  • Once this is done you can play around with other features of the Jetson, moving forward we will be adding a Raspberry Pi camera module to the Jetson and making some image recognition projects. Stay tuned to my channel for more!
  • Data Exploration

  • The following conclusions and findings are found in Jypter_Scripts/Data_Exploration.ipynb file: he first exploration task I conducted was to use seaborn's pair plot to plot all variables against one another for each different type of gesture. I was looking...
  • Construction guide and hardware

  • 1. a hat (or eyeglasses, small robots lead the way ..) 2. Hardware: 1 Genuino-101, 1 base shield, 1 rechargeable battery. 3. One button on / off, one button toggles between functions and sensors. 4. Sensors: 1 Motion sensor, 1 sensor detector, 1 grove...