Automated Face-Recognition Attendance System for Optimized School Operations

Platform

Web

Mobile

Industry

Education

Company Overview

Our client for this project is a well-known American educational institution. This organization’s operations ran smoothly, but recently, they have had problems maintaining student attendance. They wanted a system to eliminate manual processes and automate student attendance. At the same time, the management wanted the automated attendance system to boost productivity and accuracy, reduce human errors, and ensure secure attendance documentation.

Business Challenges

Inaccurate Data

The school used to record attendance manually, which was often inaccurate and error-prone. Besides being time-consuming, manually recording attendance was inefficient, creating complications for data analysis while providing limited accessibility.
Multi-Modal Identification

The school management wanted a robust student attendance system to identify students in different environments, including sunny weather, dim lighting, fog, and other challenging conditions. Extreme precision was required while minimizing false positives and negatives.
Minor Data Privacy

Collecting minor students’ data must be subject to parental permission. Simultaneously, it is crucial to implement strong data retention policies while ensuring proper processing and analysis. Lastly, it is vital to ensure legal compliance while having a data breach response plan.

Business Solution

Greater Accuracy

Our team used TensorFlow and OpenCV to develop a facial recognition model to identify students with 95% accuracy. This reduced the chances of erroneous identification and the time required for attendance registration.

Enhanced Recognition

The newly developed solution leverages a pre-processing pipeline that improves the recognition performance of images taken at multiple camera angles. At the same time, it enhances image quality in different lighting and environments (dim light, excessive brightness, and more).

Controlled Access & Compliance

The system’s data is encrypted and stored securely. Only authorized personnel can access this data, ensuring adequate compliance with data privacy regulations.

Conclusion

We received positive feedback after implementing the new face recognition-enabled attendance system for the client. The client told us that they were able to reduce human errors significantly. Manual attendance registration took 15 minutes in the past, but it came down to 2 minutes after implementing the new attendance system.

Besides time and cost savings, the attendance system helped the school adhere to privacy regulations. This instilled confidence in students’ parents and fostered a long-term relationship.