Kangaavalu:

AI Face Detection for a Attendance System

Kangaavalu is a Realtime AI based face recognition solution & attendance system for monitoring village accountants. The video surveillance device is set up in front of each village accountants across Karnataka, continuosly monitor their presence and generate attendance on hourly basis.

The super admin at the state office will have LIVE monitoring and access to all individual VA’s streaming and analytics data reports. The sub-admins(top tier employees) can monitor the village accountants' attendance who come in their jurisdiction.


  Application

A facial recognition attendance system uses facial recognition technology to identify and verify a person using the person's facial features and automatically mark attendance.

The software can be used for different groups of people such as Officers, employees, etc. The system records and stores the data in real-time.

A facial recognition attendance system is a contactless way to manage visitors and employees in an organization.

Unlike other types of biometric systems, such as fingerprint that captures identity though touch, a facial recognition system is a touchless way to manage employees and visitors. In times of the COVID-19 pandemic, a touchless system is an effective preventive measure. It helps manage the inflow and outflow of people in buildings and premises in a safe and efficient manner.

Attendance

Automatically identifies and confirms a person and records attendance based on their face detection.

Analyzes

Face analysis is a field of detecting human faces from a visual input, extracting feature values, and recognizing who the subjects are.

Live broadcast

AI makes it easy for broadcasters to get data from many different sources and evaluate it in real-time.

Report

An algorithm for detecting face from an input image, encoding and identifying the face, marking the attendance in a spreadsheet and converting it into PDF file.

 Automate Government Attendance Records with Face Detection

Our government officer attendance system uses cutting-edge face detection technology to accurately track attendance and streamline record-keeping for government meetings and events. With a user-friendly interface and real-time updates, our system ensures that government officers are present and accounted for, improving transparency and accountability across all departments and agencies.

Features

Live Video: Our system includes live video monitoring of government meetings and events, so you can see who is present in real-time and ensure that attendance records are accurate.

Officer List: You can view a list of all government officers who are expected to attend a specific meeting or event, and mark them as present or absent as needed.

Attendance Records: Our system automatically generates attendance records for each meeting or event, with detailed information on each officer's attendance history and any patterns or trends over time.

Customizable Settings: You can customize our system to suit the needs of your specific department or agency, with options for different types of meetings, attendance thresholds, and more.

Benefits

Improved Accountability: With our system, you can ensure that all government officers are present and accounted for at every meeting or event, improving transparency and accountability across your department or agency.

Streamlined Record-Keeping: Our system eliminates the need for manual record-keeping, saving time and reducing errors in attendance tracking.

Data Analysis: Our system generates detailed attendance records and reports, so you can analyze attendance patterns and identify any areas for improvement.

 Integration of AI Face Detection with Attendance System

Ensuring Accurate and Efficient Tracking of Government Officer Attendance with Ongoing Monitoring and Improvement.

Integration with Attendance System

Connect the AI model to a camera that can scan the faces of government officers when they arrive for work.

Compare the scanned face to the face on file for that officer and mark them as present for the day if there is a match.

Ensure that the attendance system is designed in such a way that it can handle large amounts of data generated by the AI system.

Configure the attendance system to generate reports that provide information on attendance and absenteeism of government officers.

Monitoring and Improvement

Regularly monitor the performance of the AI face detection system.

Track key performance indicators such as accuracy, processing time, and false positives or negatives.

Retrain the AI model with additional data if necessary.

Use analytics tools to gain insights into the performance of the AI face detection system.

Retrain the AI model with additional data if necessary.

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