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ShotSpotter IPO suggests there’s not much profit in urban surveillance

29 pointsby BradyDaleabout 8 years ago

7 comments

knicholesabout 8 years ago
Their product focus is far too limited. Classification of audio is far more valuable than detecting shots. One could detect things like sentiment in a grocery store nearby a particular product (These prices are too damn high!), reasons your baby is crying, what&#x27;s that weird sound with your car and who can fix it nearby, virtually any real-time, real-world analytics. It&#x27;s like google analytics for audio. (Audiolytics, might I suggest). I know it has already been used to try to classify size of cars driving on the freeway.<p>I particularly enjoy this solution for retail locations. How long does someone talk to themselves around a pair of new pants before they buy or walk off and not buy? Is there a correlation between how long a baby screams in a grocery store and how quickly a parent leaves the store without buying something?<p>How about a graph showing me how long my neighbor&#x27;s dog has been barking each night at 2am? How about that cough? Do other people who have coughs like that end up being diagnosed with &lt;disease_x&gt;?
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Declanomousabout 8 years ago
I live in a neighborhood with a ton of gunshots. I&#x27;ve called the police about gunshots maybe three times, but I probably hear gunshots multiple times a week. One of those times I was the first person to call in a murder, the other two didn&#x27;t even generate a shooting report that I could tell.<p>I&#x27;ve been following ShotSpotter, and I&#x27;m not surprised by the problem they have been having with false positives. For one thing, gunshots don&#x27;t sound like cannons in real life, there are so many things that sound like them, especially in an economically deprived neighborhood. Backfiring cars, fireworks, people driving over plastic bottles, lumber being dropped, etc.<p>One of the reasons I don&#x27;t call in shots is because it&#x27;s almost impossible to figure out where a gunshot actually came from. The grid system in Chicago combined with the ubiquity of 3 story brick and stone houses means that sound bounces all over the place. Even sounds that are generally easy to place, such as trains and sirens, often sound like they are coming from a completely different direction .<p>The other reason I don&#x27;t bother calling in shots is because I feel like any police officer close enough to respond in a timely manner is likely close enough that they probably heard the shots themselves. By the time I call 911, give them my questionable guess to location, and the police actually arrive there, chances are the shooter is long gone. Even the 911 operators seem uninterested in my calls unless I can give them extremely detailed information about what just happened.<p>If ShotSpotter is as accurate as the paper indicates, then I think it could be an extremely powerful tool <i>if the information can be given to officers in a timely manner</i>. That being said, from what I&#x27;ve read ShotSpotter is already considered a bit of a success in Chicago, so I think the technology has a solid market.<p>Given the fact that they have a solid market, I can&#x27;t help but feel their problem is on the management side of things. Honestly, ShotSpotter seems like one of those companies that should have 25-50 employees, and could be reasonably profitable at that level. Looking at their SEC filing, it seems like they spend way too much on Admin and Marketing, given the fact that 1) their market seems reasonably straightforward from a sales perspective and 2) their technology seems to speak for itself.<p>That being said, I have no idea how much trade shows and such cost, but overall I feel like there is no reason they shouldn&#x27;t be profitable after 20 years of existence given the fact that they appear to have basically the only viable product in the market.
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accountyaccountabout 8 years ago
I mean... no shit? You have a fairly complex install for a service that I don&#x27;t think most police stations even want.<p>They have a hard enough time responding to the existing real-life humans who call them. I&#x27;ve reported gunshots in my neighborhood and waited more than 30 minutes for a response (we also have shotspotter).
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pdxgoatabout 8 years ago
Some research using ShotSpotter data: <a href="https:&#x2F;&#x2F;www.brookings.edu&#x2F;wp-content&#x2F;uploads&#x2F;2016&#x2F;07&#x2F;Carr_Doleac_gunfire_underreporting.pdf" rel="nofollow">https:&#x2F;&#x2F;www.brookings.edu&#x2F;wp-content&#x2F;uploads&#x2F;2016&#x2F;07&#x2F;Carr_Do...</a> . The takeaway is that gun shots are significantly underreported. Here are maps that accompany the paper: <a href="http:&#x2F;&#x2F;jenniferdoleac.com&#x2F;maps" rel="nofollow">http:&#x2F;&#x2F;jenniferdoleac.com&#x2F;maps</a>
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preinheimerabout 8 years ago
So this might just be me, but it doesn&#x27;t seem creepy at all. Detecting a particular audio signal seems much less creepy than running facial analysis on everyone who walks by (<a href="https:&#x2F;&#x2F;www.facefirst.com&#x2F;industry&#x2F;retail-face-recognition&#x2F;" rel="nofollow">https:&#x2F;&#x2F;www.facefirst.com&#x2F;industry&#x2F;retail-face-recognition&#x2F;</a>)<p>If they were recording all audio everywhere, hey, that&#x27;s creepy. But it doesn&#x27;t seem like that&#x27;s what they&#x27;re doing.
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evanwolfabout 8 years ago
There&#x27;s value in automated reporting but cities like Oakland, California, had trouble justifying the expense at current signal&#x2F;noise ratios. Efforts to boost the signal are expensive and involve human analysts today. And the sales cycle with city governments can be long and labyrinthine, driving up sales costs and soaking up cash.<p>The business strategy is to keep revenue coming in. They need to fund R&amp;D (and an IPO could help with that) and time to drive up signal&#x2F;noise and drive down costs.
dullgiulioabout 8 years ago
Frankly I find the whole idea behind this company troublesome to say the least.<p>The solution to the gunshots problem is before the guns shoot, like background checks required to own a weapon.<p>That a company could make an IPO over such an idea goes very, very far in describing today&#x27;s America.<p>Soon to come: the laptop you can assembly yourself and that can be carried in the cabin?
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