Awesome

About Machine control

Machine control is one of the Official 5sControl algorithm. Plug it in our video monitoring system with AI analysis and ERP Integration (Open Source) to increase the efficiency of your processes.

Designed to handle complex industrial processes with ease, this innovative tool is perfect for use with semi-automated equipment. With Machine Control you can optimize your industrial processes and keep your equipment running smoothly, saving you time and money.

Machine-control

Key features

monitors use of equipment;
prevents downtime of valuable and expensive equipment.

Plug-in Machine control to 5controlS platform to detect when your workers are absent!

Learn more about Machine control on the 5sControl website.

Getting started

Build image for machine_control_python algorithm

For x86 users

docker build -t 5scontrol/machine_control_python:latest .
for AArch64 users

docker buildx build --platform linux/amd64 -t 5scontrol/machine_control_python:latest .

Build image for machine_control_python_server_model algorithm

For x86 users

docker build -t 5scontrol/machine_control_python_model_server:latest .
For AArch64 users

docker buildx build --platform linux/amd64 -t 5scontrol/machine_control_python_model_server:latest .

Run containers

Check id of container: docker image list

For machine_control_python

docker run -e username=admin -e password=just4Taqtile -e camera_url="http://192.168.1.163/onvif-http/snapshot?Profile_1" -e server_url=http://192.168.1.110 -e folder=images/192.168.1.163 -it <container>
For machine_control_python_server_model

docker run -it <container>

Run/Test code

For machine_control_python

python main.py
For machine_control_python_server_model

python -m flask run --host 0.0.0.0 --port 5002

Push images

For machine_control_python:

docker image push 5scontrol/machine_control_python:latest
For machine_control_python_server_model:

docker image push 5scontrol/machine_control_python_model_server:latest

[optional]: -e extra=[...]

Request: https://github.com/5sControl/QA_documentation/blob/main/algorithms/run_machine-control.json

Responce: https://github.com/5sControl/QA_documentation/blob/main/algorithms/report-with-photos_machine-control.json

You have to download models:

Models: https://drive.google.com/file/d/1oHgIA6D8vgOfWl5AjyclPMvl21Vj_O_G/view?usp=sharing you have to download models

Documentation

Documentation for Developers

User Documentation

Contributing

Thank you for considering contributing to 5sControl. We truly believe that we can build an outstanding product together!

We welcome a variety of ways to contribute. Read below to learn how you can take part in improving 5sControl.

Code of conduct

Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.

Code contributing

If you want to contribute, read our contributing guide to learn about our development process and pull requests workflow.

We also have a list of good first issues that will help you make your first step to beсoming a 5S contributor.

Project repositories

5controlS Platform:

Official Algorithms:

Algorithms Servers:

inference-server-js

License

AGPL-3.0

Machine control uses third party libraries that are distributed under their own terms (see LICENSE-3RD-PARTY.md).<br>