Density for iOS - See how busy popular places are in real time.

@srcasm Hm.. @benredfield will shoot you a note.

@srcasm Try logging in with the email you tried to sign up with. We're looking into this issue. Shoot me a note at ben@density.io if that doesn't work!

@density @benredfield email sent.

@babu_ck - We can achieve 100% accuracy when people enter cleanly but accuracy is dependent on how well we handle edge cases. Too many in a row and our numbers can be wrong off. - It hasn't been brought up yet but we're essentially identifying patterns that occur in the voltage readout of two parallel sensors (see image above). Two different people, even if passing through without a gap, show enough of a difference in their pattern to tell them apart. It simply takes time to root out all of these granular edge cases. - Right now we handle a lot of edge cases well. But there's always more we can do to improve. Sorry that's not a straight-forward percentage. But what's really interesting about your question is that we don't actually have a baseline to compare our results to. In other words, we're the only thing counting. So, right now the only way to create a control is to have a human count by hand and then compare the resulting data. Which is a surprisingly taxing task. We could use video surveillance but that's another matter entirely.

@patrickedgett Someday :)

@jeshalom We're adding *you* to the Best of 2015 collection...

@lyon01_david When you say noisy do you mean loud or busy? They probably relate but I'm curious.

@andrewfarah more loud. Like "you won't be able to sleep here"

@dckaos You need to meet @jtriest... Thanks!

@jasonzopf Honestly, if you know a hospital... let's talk. andrew AT density.io

@malinkawal "Friends Don't Let Friends Look Dead On The Internet", haha. This is clever.

@neila_r That's interesting. Someone once suggested we sell the data to Red Bull so they can hand out free drinks at the busiest bars :).