Density Blog

Density | http://density.io | Syracuse + NYC + San Francisco | On-site or Remote | Full-time | $100k-$130k + equity | Backend Engineer == What we build Density combines a powerful people counter, a modern API, a dedication to privacy, and a Sensor-as-a-Service business model. The system’s self-installable sensors can be added above any relevant door or entryway. Users then access always-on people count through our real-time API, allowing them to measure and understand their physical space. == Backend Engineer === - Lead backend development on internal and customer facing projects, utilizing Python and Django - Build APIs and data delivery mechanisms for applications such as web dashboards, alerting & health systems, mobile applications, and third party integrations - Contribute to frontend application development using ES6, React, and Redux - React to customer needs and feedback through tight-looped, iterative development - Contribute to open source initiatives - Document and teach best practices across our stack == Apply == https://jobs.lever.co/density/48c5dc5b-b108-4fdd-bfc8-bb341445b165/app…

Density.io (https://www.density.io) Senior Backend | DevOps | Linux C++ Remote for all positions At Density, we build one of the most advanced people sensing systems in the world. The product and infrastructure is nuanced and one-of-a-kind. Building this product for scale has been an exercise in patience, creativity, remarkable engineering, laser physics, global logistics, and grit. The team is thoughtful, driven, and world-class. Backend Eng https://jobs.lever.co/density/6a63a4e5-ee36-486b-9e1b-e144548eba15 DevOps Eng https://jobs.lever.co/density/dd66fda3-1817-4a33-a197-d9597607e080 Linux C++ Eng https://jobs.lever.co/density/83be907a-caeb-4eca-8f61-c0cde1130b6c

Without specific hardware to it, I don't think so. But you can always use your Wi-Fi router to detect the unique number of devices connected but that still rules out people connected through data plans. Payrollhero has an attendance management app for office, but not for events as such. If you don't mind using a separate hardware density[0] came out recently and looks very promising. [0] - http://www.density.io

Bug report: In Firefox, when on this page [1], clicking on the Density logo in the top left takes me to http://www.density.io/undefined Looks like you've got a JS issue in there somewhere. [1] http://www.density.io/?ref=hn

Had no idea what this was. Clicked link. Within one minute I figured out what Density is. Nice job on the landing page! IMO, this is the strongest section: http://www.density.io/#comparison

How is the data collected? EDIT: Never mind, I didn't see the website where it's explained: http://www.density.io/ Cool product!

They do something like that https://density.io

Disclaimer: I work at Density (https://www.density.io) building an anonymous people counter. MAC address tracking is a good simple way to get an approximate number of people: it's very easy to install, it requires only a WiFi antenna, and the data is easy to translate into a count. However, there are privacy and legal concerns which have prompted phone vendors to obfuscate this data. And there can easily be zero (or more than one) broadcasted MAC address per human, even when filtering by OUI. Retailers have been using specialized "people count" technology like infrared break-beams, thermal cameras, and CCTV+CV systems for a long time. CCTV is the most accurate by far, but it's also commonly considered to be an invasive level of surveillance (and rightly so). It's also not particularly accurate in adverse situations. At Density, we looked at (and tried) many of these technologies - but ultimately found them lacking because they were either too invasive or too inaccurate. The device we've built uses a lower-resolution depth-only sensor because it can return extremely accurate results, without having the capability for facial recognition or other analysis techniques that are harmful to privacy. So far the technology is working very well - with an algorithm based on a deep-learning "human classifier" we're seeing accuracy above 99% in many of our deployments. Here's a cool (and in-progress, excuse our dust) summary of some issues that the technology has to navigate:…

Density (http://www.density.io) | San Francisco, CA, USA / Syracuse, NY, USA | Full Time Open Positions - Eng: Embedded Systems Engineer (Embedded Linux) - Eng: Front End Engineer (React) - Admin: Office Operations - Ops: Strategic Sourcing Manager - Ops: New Product Introduction Program Manager We offer competitive salary and stock options. Contact [email protected] and include the information you think is relevant. At Density, we build a small sensor that measures how busy a location is in realtime. Customers mount the unit above a doorway, connect it to power and WiFi, and use our API to access how many people have visited. When we announced what we were doing last summer, we hoped technical companies and developers would reach out. They did. But so too did hundreds of others from all around the world and in completely different markets. Some with expansive, two thousand location networks, others asking for a few hundred, and many with just one set of doors they deeply cared about: airlines, SMBs, Fortune 500s, startups, ad agencies, country transit systems, etc. We’ve since learned that “human load balancing” is a widespread and unsolved problem. Today, we believe our platform may democratize access to a fundamental piece of information that has simply been uncollected and lost.

RIP Density [0]. [0] - http://www.density.io/

Aside: Haven't seen "Made in USA" in a long time, refreshing to see that Density hardware will be manufactured in Syracuse, NY: https://www.density.io/hardware/