exactly that.
i am currently in the trouble of visualising the data (i use grafana) but still not happy.
what you might wanna do is just collect data and query it later to learn about the mac adresses you are looking for.
e.g. run airodump every 10 minutes, write mac and timestamp to mysql. then you only need to write down when your colleagues/neighbour arrived or left for like 2-3 days and then query like “which devices were present after time x on these days …” and the larger your dataset the more accurate your results.
the guy in the peremeter detection has like 1 client a day …so thats easy. but with more ppl around you, cars being APs etc. you need more data to be sure which mac is who.
maybe if you want to track cop cars use that and gpt4o to watch a cam feed of your street to match copcar & mac.
if you got a few solid hits you can use that to figure out patters…like you know cop1 is around everyX hours which tracked mac matches that.
i am sure mac is much more reliable than bluetooth due to range, consistency etc…
Curious as to why you want to know when your neighbours are back? Or actually the benefit of collecting MAC addresses in general.
Borrowed their pool.
Lol
i stumbled across this project but it wasnt quite working for me since the author uses it in a very remote location with few to zero clients: https://github.com/AgustinPelaez/wifi-presence-detector
This looks interesting thanks for sharing.
Could this be used in my office, for fun, to get my colleagues mac addresses and keep sending de-auth packets to keep them off the network?
Also, interested in whether it could be used to learn any patterns of police gear and notify of presence when out protesting.
exactly that. i am currently in the trouble of visualising the data (i use grafana) but still not happy. what you might wanna do is just collect data and query it later to learn about the mac adresses you are looking for. e.g. run airodump every 10 minutes, write mac and timestamp to mysql. then you only need to write down when your colleagues/neighbour arrived or left for like 2-3 days and then query like “which devices were present after time x on these days …” and the larger your dataset the more accurate your results. the guy in the peremeter detection has like 1 client a day …so thats easy. but with more ppl around you, cars being APs etc. you need more data to be sure which mac is who.
maybe if you want to track cop cars use that and gpt4o to watch a cam feed of your street to match copcar & mac. if you got a few solid hits you can use that to figure out patters…like you know cop1 is around everyX hours which tracked mac matches that.
i am sure mac is much more reliable than bluetooth due to range, consistency etc…
Thanks for the pointers dude. Much appreciated.