Johnson, a first-term mayor, campaigned on a promise to end the use of ShotSpotter, putting him at odds with police leaders who have praised the system.
They argue that crime rates – not residents’ race – determine where the technology is deployed.
And due to decades of racist policing focusing on communities based on residents’ race those crime rates are based on exactly that.
This is why police forces love AI; they can feed the systems data based on their own history racist policing and absolve themselves of responsibility when the garbage coming out matches the garbage going in.
That’s a bingo right there.
Just an excuse to continue to harass areas that have historically been harassed.
Doesn’t make any sense anyway. If I’m Whitey McWhiterson (I am, but if) and I want law enforcement protecting me and not minorities, I’d want this deployed in my neighborhood, right? Or is the false positive rate too high?
Not only is the false positive rate way too high, they’ve caught the company working with law enforcement to retroactively add fake data points to support raids and arrests.
Or is the false positive rate too high?
I’ll preface this by saying I have no idea how the system works, but I wouldn’t be surprised. I have an old motorcycle that will occasionally get in a mood where it doesn’t want to start. If I’m not in a rush, I’ll let it sit a few minutes between tries, but if I have somewhere to be, I’ll keep fighting with it and keep cranking the starter, which often leads to a massive backfire. I’ve made neighbors think someone’s shooting before.
Not only is the false positive rate way too high, they’ve caught the company working with law enforcement to retroactively add fake data points to support raids and arrests.
I want a cop GPS…a little map showing me alternate routes to work that avoid any one cop that may be on the way.
Oh oh I saw this episode of Elementary!
*scraps eventually. It’s better than nothing, but they are signing a new contract through September of this year, supposedly so CPD can “transition appropriately” for the next six months, whatever that entails.
First you deploy this technology to the areas that you know have been experiencing gunfire. Several microphones are used and when gunfire is “heard” by the server, it can be triangulated to the source location. If you have a video network, you can also move to the source. Guess the server program is not identifying the gunshot frequency correctly.
So we need to know both the range and the false positive rate, as well as the response
- are they deployed so the only places in range of detection are non-white areas?
- is there a high rate of false positives that somehow is worse in non-white areas?
- is the response different in non-white areas vs white areas?
- does the response specifically target non-white people in the target area?
I’d imagine there’s a higher prevalence of gunshots in the non-white areas so more mics are placed there.
Part of the problem is that there’s other loud noises that sound like gunshots like a car backfiring.
The way I understand it, gunfire has a distinctive frequency range that can be measured.
There may be a typical distinctive range but it isn’t a range unique to firearms. There’s also real world variables at play here such as gunshots outdoors vs indoors that’d force them to broaden that range leading to more false positives.
Take an o-scope and a digital microphone setup, fire a gun, and i promise you you’ll not see the same reading with anything else, But, if you’re tied to an argument go ahead and do it with someone else.
Way too many variables. Are you shooting 9mm, 45, .338 Lapua, .22lr? Are you shooting from a 9 in barrel, a 16 in, a three inch? Are you using a muffler? What brand and type? What is your range to the gun shot? Is the bullet supersonic or subsonic? Does the roofers hammer make a sound that falls inside the wide range of noises? There is no way to make an accurate profile for gun shot noise.
Well when I ran destructive test we used an assortment of guns. I suppose to collect this data you would do the same thing and use the average sample across the timeline for your programs baseline. Just a guess.
