Computer VisionInsightFaceFlutterFastAPI
VisionVerify: Architecture of a Multiface Attendance System
Design and engineering of a multiface recognition pipeline capable of identifying multiple students from single classroom photographs with InsightFace / ArcFace embeddings and Flutter client.
Jun 20257 min read
Moving Beyond Single-Face Capture
Traditional facial attendance systems require individuals to queue up one by one in front of a camera. VisionVerify processes classroom group photographs, detects multiple faces in a single pass, and runs embedding comparisons against registered student records.
- Detection & Alignment: Localize bounding boxes and facial landmarks across varying angles.
- ArcFace Embeddings: Generate 512-dimensional normalized feature vectors for each detected face.
- Vector Distance Matching: Efficient cosine similarity search across enrolled student embeddings.
- Flutter Client & FastAPI: Instant feedback on attendance records and session summaries.