booster VS axis-aws-rekognition

People should stop using plain passwords to protect data and switch to something better.oster/ + Yubikey

Change from mkinitcpio to booster. It's faster and produce smaller images.

Neither, use booster.

Booster is an initramfs - a type of software that runs early during the boot process and helps to setup system, e.g. perform disk unlock, load extra drivers, setup ZFS filesystem, and so on.

I don't have high hopes that this will change in mkinitcpio, but perhaps you could bring it up with booster (which copied the mkinitcpio hooks and removal scripts)

This is my personal preference, but consider switching to booster.

initramfs: booster - TPM2 support, way faster than mkinitcpio, autodiscovering root partition

Note I'm using booster, so assuming you're using the default mkinitcpio you probably want /boot/initramfs-linux.img. Also, don't forget to modify if your ESP isn't mounted at /boot like mine.

Booster initramfs generator supports TPM, Yubikey and Network binding so you can easily protect your data using the strategy you want.

GPT table detection has higher priority at booster code. But for some reason it does not identify your partition table as GPT. Filed a github bug for it https://github.com/anatol/booster/issues/119

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.