aws-auto-cleanup VS axis-aws-rekognition

I launched AWS Auto Cleanup (https://github.com/servian/aws-auto-cleanup) in April 2019. The goal of the project was to create a tool that would delete unused or abandoned AWS resources.

Each supported resource has a maximum time-to-live (TTL) which can be extended by allowlisting your resources in a simple web UI.

I've been slowly added support for more commonly used/expensive AWS resources over time.

Feedback, comments, suggestions and more always welcome.

aws-auto-cleanup an open source application from Servian to programmatically clean your AWS resources based on a whitelist and time to live (TTL) settings. Auto Cleanup is comprised of three modules, APP, API, and WEB. Click through to learn more and follow the steps to deploy the modules to your environment.

For us, this is a big step towards bringing AWS into our assembly process to enable other use cases with the same setup, at the same time, gain quick wins for us. To support the community and the speed of transformation at manufacturers, we will also release our POC (proof of concept) code at GitHub that brings the powerful OCR function from Rekognition and the result delivered over MQTT together with powerful cameras. With some simple code changes, you could quickly get the object Rekognition with thousands of supported objects/scenes and custom labels to train it for your own object detection with a few images.

axis-aws-rekognition Lezgin Bakircioglu got in touch this week to tell me about this project and how they are integrating AI services such as AWS Rekognition into the Axis range of cameras in order to do OCR. He has put together this blog post, Boosting the assembly process with AWS serverless & Axis camera to help you understand how this all fits together. This is still experimental, so get in touch with Lezgin if you think this is something you would like to contribute to.