ian-whitestone / slides

Slides repo for any talks/presentations/demos I deliver outside of work
https://ianwhitestone.work/talks
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Who's There? Building a home security system with Pi & Slack! #4

Open ian-whitestone opened 5 years ago

ian-whitestone commented 5 years ago

PyCon Canada 2018 Talk Proposal

Title: Building a home security system with Pi & Slack!

Duration: 10 min

Language: English

Level: Beginner

Categories: data science, opencv, raspberry pi, slack apps, motion detection

Abstract

How does one make use of that raspberry pi they bought years ago? This talk will summarize how you can turn your raspberry pi into a home security system, utilizing slack as a notifications and control system.

Description

In this talk I will show how I turned my raspberry pi into a home security system. I will start with going over the different options for home security with a raspberry pi, then go into detail about the method I chose, which uses a video feed, OpenCV, and background subtraction to detect motion. I will then show how you can layer on out of the box image classification algorithms to reduce the number of false positives, and show how slack can be used as a notifications system and GUI to control your system. While the talk will focus on home security systems with the raspberry pi, the technologies and methods used will highlight the potential for many other use cases. I will finish off with some lessons learned and other applications of these technologies.

The talk outline will be something like this:

Home Security Options with the Raspberry Pi (1 minutes)

Intro to OpenCV and Background Subtraction (2 minutes)

Using a Custom Slack App for Notifications and System Control (3 minutes)

Reducing False Positives with an Image Classifier (2 minutes)

Wrapping Up (1 minute)

Questions (1 minute)

See the repo for some more info on the project: https://github.com/ian-whitestone/rpi-security-system

About Me

As a student of Chemical Engineering at Queen's University, Ian was pursuing a career back home in Calgary in the Oil & Gas industry. During one summer, he was thrown into the world of data science when he started trying to make money by using Python to optimize daily fantasy sports lineups. After the oil price started crashing, he realized he should probably look for work in another industry.

With a new found passion for data science, Ian started working for Capital One in Toronto as a data scientist. For the past two years, he has been working on operational monitoring across the business, credit risk analysis, data infrastructure & risk models. In his spare time, Ian likes to participate in hackathons, work on side projects (usually involving a raspberry pi), or eat burrito boyz.