Phil Banks





For the last 10 years I’ve been embedded in high performing teams as a product designer at: 

Peloton
Halter
Autodesk
InMusic
Serato


  •   New York, NY  




Halter Shifting

2023
Senior Product Designer
iOS, hardware integration, ML

View Work

Creating environmentally friendly farms by managing the reproductive health of dairy cows using wearables and machine learning.


Introduction
By using advanced data modelling & machine learning, Halter's solar-powered smart cow collars and iOS app allows farmers to remotely shift, virtually fence, optimise pasture, and proactively monitor the health of dairy cows. Watch this video to see more on how Halter works.















How it works
  1. Movement data sent from the collar.
  2. Received by towers installed on the farm.
  3. Interpreted as behavioural data by Machine Learning Models (Moving, Grazing, Resting, Ruminating).
  4. Displayed as behavioural insights to the farmer in the app.








Shifting

By observing patterns in behavioral data, Halter is able to identify cows on heat. Traditional methods of heat detection are time consuming during the busiest time of the dairy farming calendar. Knowing each cows optimal heat window gives farmers the best chance of conception.