attendance-automation | QR code based attendance monitor , control and automation

by hardeepnarang10 Python Version: Current License: GPL-3.0

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | attendance-automation Summary

attendance-automation is a Python library typically used in Institutions, Learning, Education applications. attendance-automation has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

Attendance Monitor and Control System (A.M.C. System) is an attempt to automate the process of attendance. It uses computer webcam to scan for QR codes, where based on it's authentication and validation algorithm, decides to either record or ignore the decoded data. It is a cost efficient, yet fully functional method of attendance automation which integrates as front interface for monitoring and recording with already existing cloud storage. It features time-bound attendance monitor, encrypted session generator, attendee QR code generator, schedule generator, ability to configure AMC system values, feedback mechanism, record exporter, along with direct mailing capability, with robust connection loss recovery.

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Quality

Security

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Support

attendance-automation has a low active ecosystem.

It has 35 star(s) with 5 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 1 have been closed. On average issues are closed in 590 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of attendance-automation is current.

Quality

attendance-automation has 0 bugs and 0 code smells.

Security

attendance-automation has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

attendance-automation code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

attendance-automation is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

attendance-automation releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

attendance-automation saves you 306 person hours of effort in developing the same functionality from scratch.

It has 736 lines of code, 52 functions and 3 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed attendance-automation and discovered the below as its top functions. This is intended to give you an instant insight into attendance-automation implemented functionality, and help decide if they suit your requirements.

Generate QRC code
Sends a message to the controller
Send an email token
Overrides console output
Generate the lecture schedule
Check if the course is off
Generate QR code
Saves configuration parameter to configuration
Construct an argument parser
Trigger camera monitor
Start monitoring video
Process a frame
Validate an array

Get all kandi verified functions for this library.

attendance-automation Key Features

No Key Features are available at this moment for attendance-automation.

attendance-automation Examples and Code Snippets

No Code Snippets are available at this moment for attendance-automation.

Community Discussions

No Community Discussions are available at this moment for attendance-automation.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install attendance-automation

In case QR code system doesn't serve to suffice, there is an option for easy upgrade to biometric scanning, which doesn't deal with issues of proxies and duplicity. The core of the application is the the automation algorithm which can be used interchangeably with biometric scanning. Of course this upgrade comes at the cost of having to train the biometric model with each entry containing multiple biometric scans of the same person, without certainty of accurate recognition.