daraosn | 10 years ago | on: Apply HN: Undercontrol.io – IoT platform powered by affordable hardware and AI
daraosn's comments
daraosn | 10 years ago | on: Apply HN: Undercontrol.io – IoT platform powered by affordable hardware and AI
All this started over a year ago, we worked on some IoT projects, we realized we needed a platform to make it real, but none of the existing were simple and flexible enough for our needs.
The one project that kickstarted Undercontrol.io was monitoring the temperature of the fish tank we have at home, after some fish died due to an issue with the heater we started monitoring the temperature and receiving alerts when something went wrong. Sure, you can buy fancy sensors, but they are expensive, we already had all the components and the technology from other applications at home. We believe IoT should be accessible for everyone, you have the example of Arduino, Raspberry Pi, NodeMCU and so many others. All of those are very useful developing tools, but we were missing a powerful workshop for creating real applications with all these tools.
From here we want to unleash the potential we believe our idea has, but baby steps first. :-)
daraosn | 10 years ago | on: Apply HN: Undercontrol.io – IoT platform powered by affordable hardware and AI
- Yes, there are many actors in the market of smart building, we are currently talking with another one, cannot disclosure though.
- We want to have AI in the DNA of our platform, the first stage is collection of data, we can already do that with our platform, now we will focus in developing the first approach of pattern recognition for the data we receive from sensors, so we can identify clusters, then ask the users to tag data to train our classifier, and build from there our machine learning component.
- At the moment, we are focused on the platform. We are staying wide and open to developers and enthusiasts (horizontal approach), we want to be flexible, use open source technologies (currently supporting Arduino and ESP8266, and common sensors and actuators), we will explore some verticals on the way, we hope this approach will help us make the platform bigger.
daraosn | 10 years ago | on: Apply HN: Undercontrol.io – IoT platform powered by affordable hardware and AI
To your question, one example: - detecting anomalies in production lines of industries: we are talking with a potential client that needs to monitor the down-time in their plastic recycling machines. Using the input generated by different sensors, it's possible to detect failures and restart the machines if something fails in the process.
other applications: - monitoring store's product stock in real-time to optimize the restocking process. - energy saving in buildings, industries, homes. - security and health monitoring. - and of course, home automation by providing affordable hardware.
daraosn | 10 years ago | on: Terrain Generation with Midpoint Displacement
Funny fact: it can be used as Grass Generator
Exponent: 7 Starting Spread: 35.3 Spread Reduction Constant: 20.5
daraosn | 10 years ago | on: Three Years as a One-Man Startup
daraosn | 10 years ago | on: Three Years as a One-Man Startup
Just one concern: are you working with more people? That's the only thing I regret from my ventures back then, I was also solo-preneur, now starting to make teams and delegate more and more, and I think that's the way to go...
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Secure Channel, like OpenSSL you mean?
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$ cat test.erb
Hello there! Today = <%=Time.now%>
$ erb test.erb
Hello there! Today = Sat Oct 26 16:42:36 +0200 2013
Plus you still need to run PHP over a server (Apache, Nginx, or what so ever), so I don't see so much difference with Rails, Django or Express, except that PHP is an old and stinky language.daraosn | 12 years ago | on: The Slash Programming Language
1. As a platform, we can take advantage of the network effect. The data we gather from all the users using it, plus the interaction they do when we classify certain patterns can be used to improve our machine learning algorithm. Thus, you as an IoT manufacturer can take advantage of a trained algorithm instead of you developing one from scratch.
2. This network effect brings in another discussion which is privacy and security, we are very aware about this. The data is never shared with third parties and it's only used for training/improving our algorithms, we protect user data, because we know this is a big concern that will surge with IoT in the future. We are planning to implement end-to-end encryption and open-source the core code at some point so you can deploy your own local applications.