Kubernetes

1 Project

Flexible Vision
A SASS platform for TensorFlow annotations and iterative training

Automate quality assurance with image detection
  • Created several custom Node-Red modules for configuring onprem cameras and communicating with Cloud API.
  • Added API endpoints to Flask API for manipulating images using any OpenCV method
  • Wrote ExpressJS server as proxy service to up / download photos through Minio (AWS S3) and other storage services
  • Created Drop-n-Drop photo library manager for organizing training data from remote and local photos
  • Customized Tree component for infinite nesting of tag hierarchies within a photo.
  • Built client side analysis methods for easier review of tags across all photos, showing totals and average region sizes
  • Customized drawing component for creating, dragging, and resizing tags with 0 - 400% magnification
  • Structured dataset to provide tag categories, notes, and names, aside from types
  • Wrote client-side demo builder to double as a unit testing for reloading randomized training tags customizing parameters

Started: 2018-05-01

Launched/Lasted: 2023-12-31

Technologies: Node.js, Express.js, ReactJS, AWS S3, Docker, Minio, TensorFlow, Kubernetes, Google Cloud Platform, Node-Red, Python, Flask, OpenCV

Industries: Technology, Analytics, Robotics, Manufacturing

Team: E.A.Taylor: Front-End & API. Sam Silverberg: Back-End. Alec Goeckel: Back-End. Aaron Silverberg: Product Development.

Companies/Brands: Flexible Assembly Systems, Refined Motion Engineering

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