FIND

Infrastructure

indoor positioning

SHOW HN2016

183points
72comments
#158of 2,264 in 2016
Top 7%of 2016 by points

How HN took it

CuriousMostly questions and neutral comments

6 positive, 18 neutral or asking, 1 mixed, 8 critical, out of 33 comments about the project. Thread score +0.03.

Idea: 3 for, 6 againstPerformance: 2 for, 2 againstDocs: 1 for, 0 against

The thread, comment by comment

Each row is a top-level comment and its replies, in HN's order. Select a cell to open that comment on HN.

positive neutral or mixed critical about another commenter or something else the maker

What HN said

What people liked

  • Cool, open-source take on indoor positioning

    From 2 comments
    • Cool project. I have tried using both wifi and IMU motion sensors for mapping indoor and it's not really that impressive yet. This is still a very hard problem to solve. Google…
      asadlionpk on HN
    • Awesome. I tried creating something like this to help get around our very confusing corporate headquarters, but gave up. I will almost certainly use this now!
      pavel_lishin on HN
  • Accuracy around 10 square feet is impressive

    From 1 comment
    • They claim a typical accuracy of 10 square feet (< 1 square meter) which would be really really good. Even systems with beacons are not better.
      lhaussknecht on HN

Objections

  • Needs an Android device carried by each person

    From 2 comments
    • Motion detectors have a variety of usage, outdoor lighting, indoor room lighting, grocery store fridge lighting, etc. FIND is a bit more specialized because of the huge drawback…
      watty on HN
    • I love home automation but unfortunately can't think of any beneficial use-cases. This would require each person being tracked to have an android based device with wifi enabled…
      watty on HN
  • Breaks if a router moves

    From 1 comment
    • This is billed as a replacement for motion sensors in home automation. Though it does beg the question, "what if someone moves their router?"
      fabulist on HN
  • Motion sensors are simpler and cheaper for home lighting

    From 1 comment
    • It adds a lot of complexity and point of failure for a system that I can install for 15 bucks from most hardware stores (with a solid track record).
      pavs on HN

Requests

  • Support for iPhone and non-Android clients

    From 2 comments
    • Motion detectors have a variety of usage, outdoor lighting, indoor room lighting, grocery store fridge lighting, etc. FIND is a bit more specialized because of the huge drawback…
      watty on HN
    • I love home automation but unfortunately can't think of any beneficial use-cases. This would require each person being tracked to have an android based device with wifi enabled…
      watty on HN
  • Lower resolution details in the description

    From 1 comment
    • ~10sq feet in resolution Seems like that should be in the first 3 lines of the description, not near the end of the FAQ. Very cool project.
      greggman on HN

Questions

  • How the Naive Bayes classification works

    From 1 comment
    • I've looked through the code to get a better understanding of this process, but I couldn't get my head around it. Could you give a more detailed description of this process?
      OrangeTux on HN
  • Whether fingerprints can be shared between devices

    From 1 comment
    • Once finger printing has been done can that info be shared with other cell phones?
      magic_man on HN

Alternatives named

  • Bluetooth LE beacons

    From 1 comment
    • Can some one explain me, why just not use bluetooth LE? I understand you need BLE beacons, but any other reason.
      onecooldev24 on HN
  • Motion sensors (PIR)

    From 1 comment
    • Motion sensored room light has been available for at least 15-20 years.
      pavs on HN
  • Inertial navigation

    From 1 comment
    • What is wrong with inertial navigation? Just need to mark a starting poing ( like, your house door ) and then just walk around and mark the places. I've seen in the past some…
      ccozan on HN

Category, keywords, summaries and labels on this page were made by AI (Thread Reader v2) and not checked by hand. Each point links to the comments it came from.

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