Project Description
For this Hackweek, I want to focus on building a small application around Raspberry PI, motion-sensors and video capture.
It will use the motion sensor to trigger a clip recording (maybe a 10s clip) that will be uploaded to some kind of storage (probably Cloudinary).
Motivation:
I have many kinds of birds coming to my window for food and water. I wanted to have a way to be able to see them even when I'm not around and to be sure that I don't miss the fun :P
The initial idea was to build it around Node.js since JS is my primary programming language but this might be a good time to learn and use Python since it is meant to be used for this kind of things.
Goal for this Hackweek
Have a public repository with the application that can be used as a DIY starting point.
If the time allows:
- Create a public space to visualize the clips
- Use a pre-trained ML model to tag and categorize the birds species
Resources
All the code will be made available here https://github.com/en3sis/pi-watcher
Hardware:
- https://www.raspberrypi.org/products/raspberry-pi-3-model-b/
- https://www.elektor.com/hc-sr501-pir-motion-sensor-module
- Logitech 720p webcam
Looking for hackers with the skills:
This project is part of:
Hack Week 20
Activity
Comments
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over 3 years ago by scuescu | Reply
Day 1 update
As for the first day, I prepared all the hardware (pi, motion-sensor) and start looking into how to get them to work together in Python. After a lot of work and tweaks, I managed to have the sensor triggering on movement and send the signal to the PI. The first part of the code (for the motion) is available at https://github.com/en3sis/pi-watcher
Day 2
For today I want to get the video recording part ready. For that, I'm looking into OpenCV (probably a little bit overkill but could work as a base for features :P )
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over 3 years ago by scuescu | Reply
Day 3
Yesterday I finished the clip recording part, now a ~10s clip will trigger when motion is detected.
The plans for today are:
- Upload the clip to Cloudinary
- Improve the clip recording part
- Set a cooldown of X time after a recording starts.The latest code was uploaded to https://github.com/en3sis/pi-watcher
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over 3 years ago by scuescu | Reply
Day 4
Yesterday I finished the uploading part and some other improvements plus, a static website where we can preview the uploaded clips. A first demo can be found at https://serverless-en3sis.vercel.app/ with our first Rock-Start
An issue I ran into is that the motion sensor won't trigger if the target is behind the window (it's an infrared motion-sensor, the more you learn... :P ). Since I already started to build the video recording part around OpenCV, I'm now looking into using Object Motion detection.
Plans for today:
- Have an Object Detection system with OpenCV
- If I'm done early, bring Pytorch and look for an ML model that can help me label the bird's species.
- Improve the preview application (?) -
over 3 years ago by scuescu | Reply
Day 5:
Yesterday I had to implement the motion-detection with OpenCV, I ran into some issues but after all, I could finish it and now I have a solid application (with a looooooot of room for improvements :P ).
To wrap it up, today I'll focus on the preview space and whatever time I have left for improvements. I have a long list of improvements that I want to take care of.
Some new clips can be found at https://serverless-en3sis.vercel.app/
Reply to scuescu
Day 1 update
As for the first day, I prepared all the hardware (pi, motion-sensor) and start looking into how to get them to work together in Python. After a lot of work and tweaks, I managed to have the sensor triggering on movement and send the signal to the PI. The first part of the code (for the motion) is available at https://github.com/en3sis/pi-watcher
Day 2
For today I want to get the video recording part ready. For that, I'm looking into OpenCV (probably a little bit overkill but could work as a base for features :P )
# A First Level Header ## A Second Level Header Use one asterisk to *emphasize* Use two asterisks for **strong emphasis** - Use hyphens - for unordereed - lists This is an [link to example.com](http://example.com/) This is an image  This is a user link @hans This is a project link hw#some-cool-title
Reply to scuescu
Day 4
Yesterday I finished the uploading part and some other improvements plus, a static website where we can preview the uploaded clips. A first demo can be found at https://serverless-en3sis.vercel.app/ with our first Rock-Start
An issue I ran into is that the motion sensor won't trigger if the target is behind the window (it's an infrared motion-sensor, the more you learn... :P ). Since I already started to build the video recording part around OpenCV, I'm now looking into using Object Motion detection.
Plans for today:
- Have an Object Detection system with OpenCV
- If I'm done early, bring Pytorch and look for an ML model that can help me label the bird's species.
- Improve the preview application (?)
# A First Level Header ## A Second Level Header Use one asterisk to *emphasize* Use two asterisks for **strong emphasis** - Use hyphens - for unordereed - lists This is an [link to example.com](http://example.com/) This is an image  This is a user link @hans This is a project link hw#some-cool-title
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