I'm a geek, doing geeky things and often write some short articles to remind me what I've done and to potentially help other geeks out if they have similar interests....
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I decided to get a tattoo. Here is what the final result will look like:
Here is what it looks like today:
Next Friday, I'll have the "blue colouring" overlaid, so will provide an updated image.
Then, earlier this week I was having a discussion about the work I did with the SDRs a year ago and how some other people/companies are just about catching up.....
Then today I was introduced to this little device:
If you cannot be bothered, think of a scenario such as this one: You are using tooling like FlightAware.com to track commercial flights where the planes are transmitting via ADB-S, so you can detect their tags & details and follow their track paths. All standard stuff.
Now, imagine there is a plane that has switched off their transmission beacon (or it is faulty - cough cough), but they are still producing a RF signal that can be detected.
Another possibility isn't too much of a mental stretch, you have a piece of equipment that is used for cleaning pipes. It is very expensive, let's say, £2m. Now, fitting a GPS, GPRS(4G/5G) & battery based tracker to that device is all well and good, but the device will be quite large & will require frequent re-charging, therefore exposing where you have placed the tracking device & a dishonest person will know where to look for such a device and disable it.
Now, switch that device out for an ultra-low-power usage RF device, that can transmit using LoRa and only activates upon movement and doesn't slurp the power due to trying to get lat/lon details from GPS or burn more power connecting to cell towers to transmit data... you just have the RF signal broadcasting up to about a 20-30km range saying, "hello, I am here". Now you've got something to track - yes, you would have needed to know the item was being removed & not stopped the removal of it, but sometimes tracking is better than apprehension.
Now think of the motorhome that I had stolen off my driveway - they ripped that tracker out pretty sharpish, but the ANPR picked up the vehicle several times, so I knew the general "region" or location that it was spotted in - now if I the vehicle were transmitting, I could have easily used a device like this to then pan & sweep the area to detect the signal, either find and apprehend or monitor & observe.
Does it start to make some sense now? I'll let your imagination fill in the blanks of how this could be useful elsewhere & by other intelligence agencies.
OKAY - simple nudge: now thinking of having flying drones that have an RF transmitter beacon (a simple LoRa device will do), now you can monitor / track those drones when they are out of LoS - a picture is a 1000 words, you figure it out:
Well, this is a turn up for the books and something long overdue for the general public: find out more here: https://opal.withgoogle.com/landing/ Now, you could just go off and do some gold-rush effort and I highly encourage you to do so - THIS is a game-changer. It really is. As this is "my universe", I'm just going to pull it back to me (yes, very narcissistic, I know, but I don't care). Here are a couple of articles that I just want to call attention to: https://tonyisageek.blogspot.com/2020/02/a-week-off-worksort-ofproject-o.html https://tonyisageek.blogspot.com/2020/12/project-o-my-machine-programming-project.html The basic premise was to use NLP (natural language processing) where you, as a non-technical person, could describe what you want an application to be and do. Then, through the power of automation it would generate a starter-for-10 application from templated code and deploy it onto a Cloud environment, so that you could then see it / touch it / run i...
Been absent a while, have had many things to be focused on; however, this recent little nugget needed to be documented & shared, mainly because I did this on my personal laptop & I need to recreate it somewhere else and this mechanism just makes it easier - also, this might help someone else out too. Right, so what am I talking about? About a year ago I was doing some new stuff with LLMs and RAG (ingesting own documents as the data to use rather than the LLM training data) and it was okay-ish, it did the job. Zoom forward a year and obviously things have moved on, quite a bit. The RAG tools & code have improved significantly, it still takes time to ingest though - haven't found a way to speed that part up, well, I'm focused on offline/airgapped/onpremise solutions, it could probably be faster if using a Cloud SaaS offering, but that is of no interest to me, so I'll accept the time it takes. What are the steps inolved? Get a bunch of documents, upload them to be...
During the past, well, let's think, 10+ years, I've been involved in Machine Learning projects (okay, they call it "AI" now, but that's an argument for a different time) that require lots of data to be ingested / used to train the Machine Learning model. For instance, if it is text, we need lots of snippets of text that can then be categorised, so that the model "knows" that the 10 words grouped together in that context have a "meaning" and that meaning is labelled - this helps with questioning later on. It also helped to extract out the entities and relationships between the wording to give more context. Here's a simple example using the spaCy tooling to give you an example: https://www.labellerr.com/blog/image-annotation-services-and-data-labeling-for-ai-models/ If it is imagery, we need lots of images with the segmented parts identified, usually a bounding box(?) to identify the elements / objects inside the image, so, again, this can b...
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