Engineering Challenges & Lessons Learned
Building FaceLog involved solving several practical engineering problems related to performance constraints, infrastructure limitations, and architectural decisions.
Building FaceLog involved solving several practical engineering problems related to performance constraints, infrastructure limitations, and architectural decisions.
FaceLog is a facial recognition logging system designed to automatically track student activity within laboratory environments.
The FaceLog recognition pipeline relies on mathematical transformations that convert images into numerical representations.
The facial recognition process in FaceLog follows a structured pipeline designed to detect, analyze, and identify faces captured by camera devices.
FaceLog is built using a distributed microservices architecture.
FaceLog combines technologies from several domains including web development, machine learning, and distributed infrastructure.