motion VS RSS-Link-Database

https://github.com/trypromptly/LLMStack - started working on this as a wrapper over OpenAI's endpoints for another product and it gradually became this.

Another project I worked on for my own use was a network isolated, lightweight video monitoring system. Around 5 years ago, I was looking to install a camera in our living room. I couldn't find anything I trusted that worked completely offline without some companion app pinging their servers. So I bought a basic IP camera on Amazon that supports rtsp and a raspberry pi. Created a fenced wifi network and added the camera to it.

Had an FFmpeg process read camera stream on demand and write to local buffers. Wrote a simple python server to listen for incoming connections on a different interface and stream the video on API requests. Then built an android app that talks to the python server to stream video on demand.

Also installed motion (https://github.com/Motion-Project/motion) on raspberry pi to detect motion in the video and store those snippets to local storage. With motion running, the adapter I was using wasn't delivering enough power resulting in storage occasionally unmounting and raspberry pi restarting taking the camera system offline. With motion detection disabled, the entire setup ran reliably for many years.

We used https://github.com/Motion-Project/motion for crude version of that in our office closet datacenter.

It just detected movement, sent an email with video file attached and a link to stream.

No face detect AI but this is ancient software, and minimum effort to set up

MotionEyeOS

I had a similar setup to see what my pet hedgehog was getting up to at night and I used motion to do motion detection on the stream and save videos when it happened. I think you can also set a script to run whenever motion is detected. Might be worth looking into.

I use Motion for my security camera... it only records motion if you want it to: https://github.com/Motion-Project/motion...

apt-get install ffmpeg libmariadb3 libpq5 libmicrohttpd12 wget https://github.com/Motion-Project/motion/releases/download/release-4.3.2/buster_motion_4.3.2-1_arm64.deb dpkg -i buster_motion_4.3.2-1_arm64.deb

You might consider Motion. It's reliable and uses little resources. It comes with a browser UI.

On the other hand it is not 1995. Time has moved on. I wrote a Simple RSS feed, that also serves as search engine for bookmarks.

I am able to run it in attick on raspberry pi. We do not have to rely so heavily on google.

https://github.com/rumca-js/Django-link-archive

It is true that it does not serve me as google, or kagi replacement. It is a very nice addition though.

With a little bit off determination I do not have to be so dependent on google.

Here is also a dump of known domains. Some are personal.

https://github.com/rumca-js/Internet-Places-Database

...and my bookmarks

https://github.com/rumca-js/RSS-Link-Database

Some more years, and google can go to hell.

[4] https://github.com/rumca-js/Django-link-archive

These are exported then to github repositories:

[5] https://github.com/rumca-js/RSS-Link-Database - bookmarks

[6] https://github.com/rumca-js/RSS-Link-Database-2023 - 2023 year news headlines

[7] https://github.com/rumca-js/Internet-Places-Database - all known to me domains, and RSS feeds

My own repositories:

- bookmarked entries https://github.com/rumca-js/RSS-Link-Database

- mostly domains https://github.com/rumca-js/Internet-Places-Database

- all 'news' from 2023 https://github.com/rumca-js/RSS-Link-Database-2023

I am using my own Django program to capture and manage links https://github.com/rumca-js/Django-link-archive.

That is why I wrote [1] for myself. It stores links in database, which I can query. Everything is later on exported, like in [2] and [3]. I can browse history, I can find useful data. I do not say it has replaced google for me. It is a nice addition that helped me gather data I encounter on the Internet.

It is a link database, at first glance resembles Reddit clone, but my focus is on creating link database, not on providing social media experience cancer.

Links:

[1] https://github.com/rumca-js/Django-link-archive

[2] https://github.com/rumca-js/RSS-Link-Database

[3] https://github.com/rumca-js/RSS-Link-Database-2023

- https://github.com/rumca-js/RSS-Link-Database-2022 - all captured links in 2022

- I think newsboat reader does not provide advanced search mechanism

There is also a repo in which I store entries which I find interesting, useful: https://github.com/rumca-js/RSS-Link-Database