A modern infrastructure for anonymously counting people

Would you recommend this product?
1 Review5.0/5
Product Hunt, I'm Density's CEO, Andrew. The product in today's post has been about two years in the making. I remember @rrhoover hunted our cobbled together version 1.0 back in 2014. In our first mass market sensor, we've combined a powerful people counter, a modern API, a dedication to privacy, and our sensor-as-a-service business model. The hardware is free. Users pay a monthly fee for access to the data. Prices start at $45 / sensor / month. Density uses depth technology, computer vision, and an onboard quad-core processor to anonymously measure and manage entrances and exits through a door. The tech is intelligent enough to handle complex human behavior -- groups, collisions, bi-directional movement, lines and lingering. Some gifs on what the sensor sees - Group detection - Anonymous by design - Ignoring a door - We'd love your thoughts and critique on the physical product, business model, customer types, etc. With much ‹3 for the PH crew, Andrew & the Density Team
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@andrewfarah What a useful, smart, practical tool to create. Awesome work, I hope you have huge success!
@richlowenberg Rich, ever run into a use case? What is Halo Neuroscience, btw? Thanks for the support!
@andrewfarah Funnily enough, I was having drinks with the IT director of a mega church a couple of nights ago. They're beginning to delve into data science and analytics to manage their five congregations of 40,000 people or so. I'm uncomfortable with religion in general, but it was fascinating to think about church attendance in a startup-y sort of growth model. Right now I believe they manually count the empty seats in the church to estimate attendance. We were talking about the idea of using cell phone mac addresses to measure retention, running A/B tests across their 5 locations etc, but I bet something like this would be really useful to them too. You can see more about Halo Neuroscience here: We just opened pre-sales on our product yesterday!
@andrewfarah Wow! You guys have added so much to Density in a year since we last spoke! Awesome. BTW, great video. Sandwich?
@andrewfarah @rrhoover This is a simple and useful product with a clean design. And the data could be very useful in an emergency, besides you could add some triggers to platforms like IFTT or Zappier, so people could get notifications when their favorite place has enough people or even trigger IoT devices... sorry if I dream a lot but I see a lot of uses in a simple and clever device like yours.
I have to say, I follow your product since the early days (also remember when you guys shared the logo research you made, which I've since used and integrated in my logo design process). Beautiful new product, excellent design and overall great team, congrats on the launch!
@widawskij Ah! The Medium article we wrote ages ago! That's awesome that you remember that. Thanks for the support along the way. What do you do? Any way we can be helpful?
Way cool! Beautiful website as well.
@logangarcia (as a result of that website) I'm pretty sure there are several "I've been up since 4am" looks on our team's faces, :).
Very cool! I'm a huge fan of hardware being used to provide great value in industrial context. The especially interesting thing about this is that it's valuable to both the business itself (understanding and optimizing for traffic patterns) and the patrons (finally I'll know when the gym is too full to bother)! I'm excited to see where this goes.
@andrewjdupree The gym is a legit issue
Really very interesting. Clearly a major market for you guys in retail helping store owners understand dwell time, shelf engagement, etc. and the pricing model would work there for sure. I'm also thinking about Enterprise real-estate or manufacturing environments, but I think that there you really need to think about an on-prem model, or at least a model where the data is available in real-time. Very interested to learn about accuracy.
@steve_brigden1 can you elaborate on the "on-prem" model? As to how real-time the data is, even though it needs to go through our servers, it's very fast. Regarding accuracy, so long as it's installed in supported environments, it will count pretty much everyone. Groups, colliding people, etc.
@andrewfarah Hi Andrew. So by on-prem I mean not cloud. At the very least I mean not priced as a utility model. Your current pricing suits a retail environment, but I'm not so sure it works well in a corporate real estate or manufacturing environment. With regard to accuracy, I was more thinking in terms of centimetres. Your gifs are interesting and obviously you are detecting people coming through doors, but does the API provide positioning detail out to other systems, or just a person count? If it does give positioning data, how accurate is it (in cm). Where are you based btw?