integrated-vision-inspection-system-ivis
# AI Forward - Integrated Vision Inspection System (IVIS)
https://github.com/msf4-0/integrated-vision-inspection-system-ivis
Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
-
○Academic publication links
-
○Academic email domains
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (10.3%) to scientific vocabulary
Repository
# AI Forward - Integrated Vision Inspection System (IVIS)
Basic Info
Statistics
- Stars: 9
- Watchers: 1
- Forks: 5
- Open Issues: 2
- Releases: 2
Metadata Files
README.md
Integrated-Vision-Inspection-System :camera:
The Integrated-Vision-Inspection-System (IVIS) is a computer vision app that allows users to train/customize/deploy their own model to fit various application.

Installation :computer:
- This application is supported on both Windows and Linux OS.
- This application supports both navtive and docker installation.
- This application has version with GPU and without GPU support.
- Only installation on Ubuntu have been tested for Linux OS.
- For Windows OS, native installation is recommended while Linux OS, docker installation is recommended.
- Windows Native Installation
- Linux Native Installation
- Windows Docker Installation
- Linux Docker Installation
Basic User Guide :open_book:
NOTE: For more detailed user guide, counsult the wiki.
Application Log in
- During first time log in, the application will prompt for an admin password change and a PostgreSQL password.
- Once the application is fully setup, the normal username and password prompt will show up everytime the application is launched.
Project Creation
- After login, create a project at the Home page.
- Fill in the details and add a dataset using one of the options shown in the page.

- Once everything is filled up click Submit and the project will be created.
Labelling
- During project creation, if the dataset selected was already labelled, this step can be skipped.
- if not, proceed to labelling and label the uploaded dataset.
- The labelling of this application uses the app LabelStudio interface.
- Due to some PC computation, loading time between each label can be slow, consider installing Label Studio natively and label there.
Training
- Once preparation of data is completed, navigate to the training section.
- Create a training session and follow the instruction in the application to setup the model, training parameters and image augmentation.
- When setting up the training parameters, beware of the PC resources and make sure it can handle.
- Start the training. Once the training is done, the model will be saved.
- Adjust the training parameters and continue the training if necessary.
- If desired, uploading a user model is possible as well if the file format is compatible.
Deployment
- Once a training is done, proceed to deployment page and select the desired model.
- Deploy the model and select the media for deployment. (image upload/camera/mqtt)
- If desired, deploying a user model is possible as well.
Settings
- This section will allow for deletion of object.
- This section allows the following deletion.
- Training session/model
- Dataset
- Project
User Management Page
- At Home page, the User Management option is located at the side tab.

- This option allows addition/deletion/check info of a user.
- It is also possible to alter the user password in this option.
Node-RED:link:
This repo also features some integration with Node-RED. Camera feeds can be sent to an MQTT broker where it can be fetched and displayed in Node-RED dashboard. Example flows can be found here.

Citation
tex
@misc{Integrated Vision Inspection System,
title={{Integrated Vision Inspection System}},
url={https://github.com/msf4-0/Integrated-Vision-Inspection-System},
author={
Chu Zhen Hao,
Anson,
Yap Jun Kang,
Lee Shi-Hau
Nicholas Tan Chien Yuan},
year={2021},
}
License
This software is licensed under the GNU GPLv3 LICENSE © Selangor Human Resource Development Centre. 2021. All Rights Reserved.
Owner
- Name: Malaysian Smart Factory 4.0 @ SHRDC
- Login: msf4-0
- Kind: organization
- Repositories: 13
- Profile: https://github.com/msf4-0
An emerging technology centre driven to accelerate sustainable digital transformation through people-focused strategies
Citation (CITATION.cff)
cff-version: 1.2.0 message: "If you use this software, please cite it as below." authors: - family-names: "Chu" given-names: "Zhen Hao" - family-names: "Anson" given-names: "Anson" title: "Integrated Vision Inspection System" version: 0.1.0 url: "https://github.com/msf4-0/Integrated-Vision-Inspection-System"
GitHub Events
Total
- Watch event: 1
- Fork event: 1
Last Year
- Watch event: 1
- Fork event: 1
Dependencies
- 1500 dependencies
- @testing-library/jest-dom ^5.14.1
- @testing-library/react ^12.1.2
- @testing-library/user-event ^13.2.1
- @types/jest ^27.0.2
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- react ^17.0.2
- react-dom ^17.0.2
- react-scripts 4.0.3
- streamlit-component-lib ^1.3.0
- typescript ~4.4.3
- 1556 dependencies
- @types/jquery ^3.5.6 development
- @testing-library/jest-dom ^5.14.1
- @testing-library/react ^12.1.2
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- @types/jest ^27.0.2
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- @types/react-dom ^17.0.9
- jquery ^3.6.0
- label-studio ^1.0.1
- react ^17.0.2
- react-dom ^17.0.2
- react-scripts 4.0.3
- streamlit-component-lib ^1.3.0
- typescript ~4.4.3
- 1626 dependencies
- @testing-library/jest-dom ^5.14
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- scipy ==1.7.1
- send2trash ==1.8.0
- six ==1.15.0
- smmap ==4.0.0
- stqdm ==0.0.4
- streamlit ==0.89.0
- streamlit-webrtc ==0.28.1
- tensorboard ==2.6.0
- tensorboard-data-server ==0.6.1
- tensorboard-plugin-wit ==1.8.0
- tensorflow ==2.5.1
- tensorflow-datasets ==4.4.0
- tensorflow-estimator ==2.5.0
- tensorflow-metadata ==1.2.0
- termcolor ==1.1.0
- terminado ==0.12.1
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- tornado ==6.1
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- keras-unet-collection ==0.1.11
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- netifaces ==0.11.0
- nltk ==3.6.5
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- packaging ==21.0
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- prometheus-client ==0.11.0
- promise ==2.3
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- protobuf ==3.18.1
- psutil ==5.8.0
- psycopg2 ==2.9.1
- ptyprocess ==0.7.0
- py ==1.10.0
- pyarrow ==5.0.0
- pyasn1 ==0.4.8
- pyasn1-modules ==0.2.8
- pycocotools ==2.0.3
- pycparser ==2.20
- pydeck ==0.7.0
- pydub ==0.25.1
- pyee ==8.2.2
- pygments ==2.10.0
- pylibsrtp ==0.6.8
- pyparsing ==2.4.7
- pyrsistent ==0.18.0
- python-dateutil ==2.8.2
- pytz ==2021.3
- pywin32 ==302
- pywinpty ==1.1.4
- pyyaml ==5.4.1
- pyzmq ==22.3.0
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- rsa ==4.7.2
- scikit-learn ==1.0
- scipy ==1.7.1
- seaborn ==0.11.2
- send2trash ==1.8.0
- six ==1.15.0
- smmap ==4.0.0
- stqdm ==0.0.4
- streamlit ==1.4.0
- streamlit-webrtc ==0.28.1
- tensorboard ==2.6.0
- tensorboard-data-server ==0.6.1
- tensorboard-plugin-wit ==1.8.0
- tensorflow ==2.7.0
- tensorflow-addons ==0.15.0
- tensorflow-datasets ==4.4.0
- tensorflow-estimator >=2.5.0
- tensorflow-metadata ==0.22.2
- termcolor ==1.1.0
- terminado ==0.12.1
- testpath ==0.5.0
- toml ==0.10.2
- toolz ==0.11.1
- tornado ==6.1
- tqdm ==4.62.3
- traitlets ==5.1.0
- typeguard ==2.13.0
- typing-extensions ==3.7.4.3
- tzdata ==2021.2.post0
- tzlocal ==3.0
- urllib3 ==1.26.7
- validators ==0.18.2
- watchdog ==2.1.6
- wcwidth ==0.2.5
- webencodings ==0.5.1
- werkzeug ==2.0.2
- wget ==3.2
- widgetsnbextension ==3.5.1
- wrapt ==1.12.1
- zipp ==3.6.0
- streamlit >=0.63
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- mcr.microsoft.com/vscode/devcontainers/python 0-${VARIANT} build
- postgres latest
- nvidia/cuda 11.2.0-cudnn8-runtime-ubuntu20.04 build
- eclipse-mosquitto 2.0.14
- integrated_vision_inspection_system-cpu latest
- postgres 14
- imagelabellingshrdc latest
- eclipse-mosquitto 2.0.14
- integrated_vision_inspection_system latest
- postgres 14
- 1495 dependencies
- @testing-library/jest-dom ^5.14.1
- @testing-library/react ^12.0.0
- @testing-library/user-event ^13.2.1
- @types/jest ^27.0.0
- @types/node ^16.4.13
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- @types/react-dom ^17.0.9
- react ^17.0.2
- react-dom ^17.0.2
- react-scripts 4.0.3
- streamlit-component-lib ^1.2.0
- typescript ~4.3.5
- 1534 dependencies
- @material-ui/core ^4.12.3
- @material-ui/data-grid ^4.0.0-alpha.37
- @material-ui/icons ^4.11.2
- @material-ui/lab ^4.0.0-alpha.60
- @material-ui/x-license ^4.0.0-alpha.37
- @testing-library/jest-dom ^5.14.1
- @testing-library/react ^12.0.0
- @testing-library/user-event ^13.2.1
- @types/jest ^27.0.1
- @types/node ^16.6.2
- @types/react ^17.0.19
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- clsx ^1.1.1
- prop-types ^15.7.2
- react ^17.0.2
- react-dom ^17.0.2
- react-scripts 4.0.3
- streamlit-component-lib ^1.2.0
- typescript ~4.3.5
- 1556 dependencies
- @types/jquery ^3.5.6 development
- @testing-library/jest-dom ^5.14.1
- @testing-library/react ^12.0.0
- @testing-library/user-event ^13.2.1
- @types/jest ^27.0.1
- @types/node ^16.7.1
- @types/react ^17.0.19
- @types/react-dom ^17.0.9
- jquery ^3.6.0
- label-studio ^1.0.1
- react ^17.0.2
- react-dom ^17.0.2
- react-scripts 4.0.3
- streamlit-component-lib ^1.2.0
- typescript ~4.3.5
- 1618 dependencies
- @testing-library/jest-dom ^5.14
- @testing-library/react ^11.2.7
- @testing-library/user-event ^13.1.9
- @types/jest ^26.0.23
- @types/node ^15.12.2
- label-studio ^1.0.0
- react-scripts ^4.0.3
- streamlit-component-lib ^1.2.0
- typescript ^4.3.4
- streamlit >=0.63 test
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- streamlit >=0.63 test
- By *
- If *
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- streamlit >=0.63 test
- By *
- If *
- streamlit *
- them *