Archive for the ‘Caltrain’ Category

Analyzing Sentiment in Caltrain Tweets
As a first step to using Twitter activity as one of the data sources for train prediction, we start with a simple question: How do Twitter users currently feel about Caltrain?

Analyzing Caltrain Delays
In this post, we will explore some aspects of the train delay data we’ve been collecting from the Caltrain API.

TensorFlow Image Recognition on a Raspberry Pi
In this post, Matt talks about using TensorFlow to detect true and false positives in our Caltrain work.

Streaming Video Analysis in Python
In this post, we discuss our Raspberry Pi streaming video analysis software, which we use to better predict Caltrain delays.

Image Processing in Python
In this post, we use a Jupyter Notebook go over the steps for creating a proof of concept for the image processing piece of our Caltrain work.

Introduction to Trainspotting
In this post we’ll start looking at the nuts and bolts of making our Caltrain work possible: image processing, video analysis, and image recognition.

Talking About the Caltrain
On May 6th, SVDS hosted an Open Data Science Conference (ODSC) Meetup in our Mountain View headquarters. Data Engineer Harrison Mebane and Data Scientist Christian Perez presented on our Caltrain project.

IoT and Resilient Systems
We believe there are clearly some compelling value propositions that come from integrating the visibility from the IoT into applications that help understand and manage the state of complex systems. With the internet of things, the more things, really, the merrier.

Analyzing Caltrain Delays: What We Can Learn
In this post, we will explore some aspects of the train delay data we’ve been collecting from the Caltrain API over the past few months. The goal is to get our heads into the data before setting off on building a prediction model.