Today's #FreeSoftwareAdvent entry: ledger(1) & hledger(1)
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Today's #FreeSoftwareAdvent entry: ledger(1) & hledger(1)
I primarily use ledger use for my #plaintextaccounting purposes¹ but try to mostly keep my data-files in a form that hledger can process them too.
Getting started involved a crash-course in accounting terms, but the use of positive/negative numbers (rather than "debits" and "credits" which always bugged me; though both have ways of specifying that output should be in credit/debit format) eased the transition.
While it started a little tedious, a few helper-scripts and shell-functions simplified adding new common entries and gave me lazy access to common reports.
I still struggle a little bit with closing the books (I though I'd figured it out, and documented it², but had some hiccups so I'll need to revisit my documentation in January)
But it's been incredibly helpful to see and track our household net worth, spot trends, keep tabs on gift-card balances that would otherwise get forgotten, track invoices sent to clients, and it simplifies balancing the checkbook monthly.
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¹ http://plaintextaccounting.org/
² https://blog.thechases.com/posts/closing-out-the-books-in-ledger/ -
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Making Glasses That Detect Smartglasses
[NullPxl]’s Ban-Rays concept is a wearable that detects when one is in the presence of camera-bearing smartglasses, such as Meta’s line of Ray-Bans. A project in progress, it’s currently focused on how to reliably perform detection without resorting to using a camera itself. Right now, it plays a well-known audio cue whenever it gets a hit.
Once software is nailed down, the device aims to be small enough to fit into glasses.
Currently, [NullPxl] is exploring two main methods of detection. The first takes advantage of the fact that image sensors in cameras act as tiny reflectors for IR. That means camera-toting smartglasses have an identifying feature, which can be sensed and measured. You can see a sample such reflection in the header image, up above.As mentioned, Ban-Rays eschews the idea of using a camera to perform this. [NullPxl] understandably feels that putting a camera on glasses in order to detect glasses with cameras doesn’t hold much water, conceptually.
The alternate approach is to project IR in a variety of wavelengths while sensing reflections with a photodiode. Initial tests show that scanning a pair of Meta smartglasses in this way does indeed look different from regular eyeglasses, but probably not enough to be conclusive on its own at the moment. That brings us to the second method being used: wireless activity.
Characterizing a device by its wireless activity turned out to be trickier than expected. At first, [NullPxl] aimed to simply watch for BLE (Bluetooth Low-Energy) advertisements coming from smartglasses, but these only seem to happen during pairing and power-up, and sometimes when the glasses are removed from the storage case. Clearly a bit more is going to be needed, but since these devices rely heavily on wireless communications there might yet be some way to actively query or otherwise characterize their activity.
This kind of project is something that is getting some interest. Here’s another smartglasses detector that seems to depend entirely on sniffing OUIs (Organizationally Unique Identifiers); an approach [NullPxl] suspects isn’t scalable due to address randomization in BLE. Clearly, a reliable approach is still in the works.
The increasing numbers of smartglasses raises questions about the impact of normalizing tech companies turning people into always-on recording devices. Of course, the average person is already being subtly recorded by a staggering number of hidden cameras. But at least it’s fairly obvious when an individual is recording you with a personal device like their phone. That may not be the case for much longer.
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