axis-aws-rekognition
This project is a POC of using AWS Rekognition service over persistent and secure MQTT using client certificate with axis cameras (Requires firmware version 10+). Secure MQTT is used instead of HTTPS to get less overhead with connection setup (by dwtechnologies)
booster
Fast and secure initramfs generator (by anatol)
Our great sponsors
| axis-aws-rekognition | booster | |
|---|---|---|
| 2 | 27 | |
| 1 | 452 | |
| - | - | |
| 1.8 | 6.3 | |
| over 2 years ago | 24 days ago | |
| Go | Go | |
| GNU General Public License v3.0 only | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
axis-aws-rekognition
Posts with mentions or reviews of axis-aws-rekognition.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2020-12-29.
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Boosting the assembly process with AWS serverless & Axis camera
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.
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AWS open source news and updates No.41
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.
booster
Posts with mentions or reviews of booster.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-04-18.
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PSA: upgrade your LUKS key derivation function
People should stop using plain passwords to protect data and switch to something better.oster/ + Yubikey
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[Boot error] Initramfs unpacking failed after updating to 6.0.1
Change from mkinitcpio to booster. It's faster and produce smaller images.
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Dracut or Genkernel?
Neither, use booster.
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Booster initramfs release 0.9 got ZFS support
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.
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You can end up without any kernel to boot if your computer crashes during a pacman update
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)
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Is There Something To Improve to my arch install "Guide"?
This is my personal preference, but consider switching to booster.
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What is your current setup? Bootloader, filesystem, partitions, etc.
initramfs: booster - TPM2 support, way faster than mkinitcpio, autodiscovering root partition
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Complex Issue:
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.
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Systemd 250 released
Booster initramfs generator supports TPM, Yubikey and Network binding so you can easily protect your data using the strategy you want.
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Booster dont loads with efistub
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
What are some alternatives?
When comparing axis-aws-rekognition and booster you can also consider the following projects:
amazon-s3-presigned-urls-aws-sam - For more serverless learning resources, visit https://serverlessland.com/.
u-root - A fully Go userland with Linux bootloaders! u-root can create a one-binary root file system (initramfs) containing a busybox-like set of tools written in Go.
cfn-diagram - CLI tool to visualise CloudFormation/SAM/CDK stacks as visjs networks, draw.io or ascii-art diagrams.
tang - Tang binding daemon
acaps - Axis System Integration ACAP
yubikey-full-disk-encryption - Use YubiKey to unlock a LUKS partition
ha-mqtt-iot - A simple configurable MQTT client that allows actions to be taken or values be reported from a PC
void-packages - The Void source packages collection
aws-sdk-js-v3 - Modularized AWS SDK for JavaScript.
sslmgr - A layer of abstraction the around acme/autocert certificate manager (Golang)
awslambdahandler - Linter for AWS Lambda handler
zip - Fork of Go's archive/zip to add reading/writing of password protected zip files.
axis-aws-rekognition vs amazon-s3-presigned-urls-aws-sam
booster vs u-root
axis-aws-rekognition vs cfn-diagram
booster vs tang
axis-aws-rekognition vs acaps
booster vs yubikey-full-disk-encryption
axis-aws-rekognition vs ha-mqtt-iot
booster vs void-packages
axis-aws-rekognition vs aws-sdk-js-v3
booster vs sslmgr
axis-aws-rekognition vs awslambdahandler
booster vs zip