best voice recognition software for raspberry pi

To delete a face from your collection, use the following: cd pi-detector/scripts To check your logs, just ssh into the Rpi and check the event.log folder for a reference to your detections. Once you plug in the Rpi, it should start working with no additional work needed from the user. You can setup Wi-Fi on your Rpi and place the camera where you want in your home. These are useful if you plan on deleting images or collections in the future.Īt this point, the setup is ready to go. Once you create a new collection, or add a new image, two reference files will be created as a future reference. Once complete, you can go back and rename the file and repeat the steps above to add your images to AWS Rekognition. If you want to do this, I created a small python script to take a photo with a 10 second delay and then puts it into the pi-detector/faces folder. I found the best results by taking a photo in the same area that the camera will be placed, and by using the picam. scripts/add_image.py -i 'image.jpg' -c 'home' -l 'Tom' I would recommend several different poses in different lighting.

The more images of a person the better results you will get for detection. Next, add your images to the pi-detector/faces folder. Creating a 'home' collection would look like: cd pi-detector/scripts Login to your console and create a new IAM user that has Administrative rights to Rekognition.įirst, you need to create a new collection on AWS Rekognition. Using this allows you 5000 API calls per month, which is good enough for this project. For my project, I am using the AWS Free Tier service. For example, if you collect still images from another camera and save them to disk, you can alter the image path to run facial recognition against any new photo that is created.īefore installing, it is best to get up and running on AWS.

AWS Rekognition Access (Free tier options available)Īs an alternative, this set of scripts can be modified to watch any directory that contains images.

The install script will place the appropriate files in /etc/rc.loal to start on boot. With some additional creativity and work, you could send out a notification or allow/deny access to a room with minimal changes.

In its current state, matches are wrote to event.log. Pi-detector is used with Pi-Timolo to search motion generated images for face matches by leveraging AWS Rekognition.

Best voice recognition software for raspberry pi