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Home Automation Dashboard – Version 3

Over the past two years, I’ve had a few iterations on my home dashboard project. All of the integrations for a “smart home” have been rather dumb in the sense that they’re just handling static transactions or act only as a new channel for taking actions. I wanted to change this and start bringing actual intelligence into my “smart” devices.

A major problem in the current smart device landscape is the amount of proprietary software and devices that are suffocating innovation and stifling the convenience and luxury that a truly “smart home” can bring to consumers/homes of the future — this means improving my standard of living without effort, not just being a novelty device (a “smart” lightbulb that can be controlled through another novelty device like Amazon Alexa).

In this vein, I’ve been connecting my devices (not just my smart devices) into a single product that enables devices to interact with each other without my intervention. This project has slowly morphed from a UI that simply displayed information and allowed on/off toggling to an actual dashboard that will take actions automatically. There’s not much special behind many of these actions at the moment but it’s a starting point.

Home UI: Version 3

In the prior two iterations of my Home UI product, I focused on two static aspects: device functionality and data collection. With V3, I’ve shifted focus to merging those two and bringing in proactive, intelligent actions and notifications.

Key features

  • Building Habits and Accomplishing More: Using my calendar, weather forecast, my entertainment preferences, and my to-do lists, the system will make scheduling suggestions to help me build positive habits or remind me to take take care of household tasks in a more timely manner. For example, the system knows that I enjoy going to the movies but also knows I enjoy doing things outdoors. The system will encourage an outdoor task if the weather is nice and suggest a movie when it’s raining/I have nothing else scheduled. Similarly, the system will suggest items from my to-do list based on their due date and priority.
  • Commute Planning: the system collects real-time traffic information from Google Maps; toll, traffic alerts (crashes, special events, construction, etc), and camera feeds from WashDOT; and road condition information, including subsurface temperatures from WashDOT, to compare against my calendar for the day and recommend a time for travelling to/from work. For example, if there’s a SeaHawks game in the evening, the system will recognize that and recommend an earlier or later departure to avoid sitting in traffic. Similarly, if I have an early meeting, the system will send me a push notification the night before to recommend setting an earlier alarm.
  • Device Event Bundling: a common use case in home automation, the system will take multiple actions across multiple devices based on a single trigger. For example: before leaving the house, I’m able to reduce my thermostat, turn off all lights, and set my security alarm with having to take each of those actions individually. This isn’t a new concept but it’s a nice implementation despite the various product types supported.
  • Neighborhood Awareness: police events around my home are pushed to me so I know when there was a burglary, car theft, or other concerning event near me. Others are stored and available in a map view.

Full List of Features

  • Pipes RTSP feeds from security cameras and save them to AWS S3 (30 days of storage for ~$1.50)
  • Detect motion in video feeds and triggers notifications
  • Push notifications for:
    • Motion detection from security cameras
    • Police events near my house
    • Traffic alerts that can impact my commute
    • To-Do list reminders and calendar reminders
  • SimpliSafe Security System integration
  • Nest thermostat API integration
  • Nest Hello doorbell camera integration
  • Police events, restaurant health inspection scores, building permit applications, and traffic information for my community are captured/plotted
  • YeeLight integration/control
  • Google Calendar integration
  • Stock price integration (for stock in my portfolio)
  • Amazon Echo Music integration (history only)
  • And a few other things I’ve shared before (such as my movie collection UI)

Hardware in Use

  • Nest thermostat
  • Nest Hello
  • Hikvision security cameras
  • SimpliSafe Alarm System
  • YeeLight light bulbs (I highly recommend these)
  • Raspberry Pi (handles some LAN things)

Software Used

The Underlying Logic for Expansion

The foundation of the system has three core components: 1) building and flattening a timeline for my persona so it knows what to recommend/do and when to recommend/do it, 2) data collection and transformation from a number of different sources, and 3) API/event handling for the devices I use (cell phone, Nest, security stuff, etc).

In order for the system to be most effective, it needs to know a bit about me – it needs data for intelligence. To enable this, I’ve integrated a ton of my day-to-day apps (calendar, note app, commute times, data from my android phone, etc.) so that it’s aware of what I need/want/plan to do. Using this, I can build a sufficient schedule on-the-fly and the system can accompany me by bringing relevant meta-data along the way.

When the persona and supplemental data are merged, higher-quality and intelligent recommendation are the result.

1984

The downside to this approach is the obvious self-inflicted 1984 “big-brother” effect. I’m putting a lot of meta-data about my routine and my lifestyle into the system to effort to encourage the system to reduce the number of small decisions I’m burdened with day-to-day. It sounds crazy just writing that out…I know this.

I see this as inevitable, though. In order for us to achieve the next level of immediacy and convenience, we’ll have to get used to the idea that the next generation of smart devices (ie the next generation of Google AI, Alexa, Siri, etc) will begin using more of the information they already know about us to improve the quality and effectiveness of the convenience we told ourselves we’d get when we purchased the current generation of these devices. Accepting this, I’m okay with sharing a small amount of additional detail alongside what I already share today into a system I control end-to-end.

What’s Next?

I’m working towards extension of the personas concept through deeper integration. I want to focus on making the outputs surfaced to me higher value (ie more intelligent alerting and suggesting) while also concerning myself with less information.

In parallel, I want to continue shifting the system from primarily smart home to an intelligent assistance and entertainment console. I also see this evolving into hardware integrated into the house.

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