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Presentation: Building a Security System with Image Recognition & an Amazon DeepLens

Track: AI Meets the Physical World

Location: Cyril Magnin II

Duration: 4:00pm - 4:10pm

Day of week: Tuesday

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Abstract

This quick talk will show you step by step how I build a security system for my house using the upcoming Amazon DeepLens. I'll go over how I built and trained the models, and the steps necessary to get the camera making inferences and sending alerts.

Speaker: Jeremy Edberg

CEO and Founder @MinOpsInc

Jeremy is an angel investor and advisor for various incubators and startups, and the founder of MinOps. He was the founding Reliability Engineer for Netflix and before that he ran ops for reddit as it's first engineering hire. Jeremy also tech-edited the highly acclaimed AWS for Dummies. He is a noted speaker in serverless computing, distributed computing, availability, rapid scaling, and cloud computing, and holds a Cognitive Science degree from UC Berkeley.

Find Jeremy Edberg at

2019 Tracks

  • Groking Timeseries & Sequential Data

    Techniques, practices, and approaches around time series and sequential data. Expect topics including image recognition, NLP/NLU, preprocess, & crunching of related algorithms.

  • Deep Learning in Practice

    Deep learning use cases around edge computing, deep learning for search, explainability, fairness, and perception.