Organizational Attendance system
General purpose | Attendance System
Overview
AI-based attendance system allowing employees to come & go without any delay. Manual entry or fingerprint scanning takes some time when it comes to a bigger organization with more than 500 staff in a premise. We had to develop an attendance system which can take photos of employees from surveillance cameras to mark them present.
Technology
- Deep Learning
- Neural Networks
- Computer Vision
- Image Processing
Language
- Python
Key Technical Challenges:
- As data was limited, we had to make sure model was able to identify employees accurately.
- Face recognition & detection both concepts were used to make this system as we had to detect face first & then recognize it.
- Had to make sure from the start that some employees may leave & some may be new so we had to build logic accordingly.
Business + Technical Points:
- Easily configurable system, which must be able to identify new employees as well
- Must be able to detect faces of employees even if they are in groups
Result:
- We were able to detect faces & meet requirements accurately with robust & simple system for users.
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