Applications & Deployment
Edge deployment, optimization, and real-world applications.
Anomaly Detection
Visual anomaly detection learns the distribution of “normal” images and flags deviations, using methods like PatchCore and student-teacher networks to detect manufacturing defects without requiring defect examples during training.
Autonomous Driving Perception
Autonomous driving perception fuses cameras, LiDAR, and radar to build a real-time 3D understanding of the driving environment, using Bird’s-Eye View representations and increasingly end-to-end architectures.
Edge Deployment
Edge deployment runs computer vision models on mobile phones, embedded devices, and microcontrollers by applying quantization, pruning, and compiler optimizations to meet strict latency and power budgets.
Face Detection and Recognition
Face detection locates faces in images while face recognition maps them to identities, evolving from Viola-Jones cascades to deep embedding models like ArcFace that achieve >99.8% verification accuracy.
Image Classification in Practice
Deploying image classification beyond academic benchmarks requires handling class imbalance, domain shift, fine-grained distinctions, and serving millions of predictions per second.
Image Retrieval
Image retrieval finds visually similar images in a database by encoding images as compact embedding vectors and performing approximate nearest neighbor search, powered by metric learning and contrastive losses.
Medical Image Analysis
Medical image analysis applies computer vision to radiology, pathology, and ophthalmology, where U-Net architectures dominate segmentation, data is scarce and 3D, and regulatory approval (FDA/CE) gates deployment.
OCR and Document Understanding
Optical Character Recognition (OCR) detects and recognizes text in images, while document understanding extends this to parsing layouts, tables, and semantic structure for automated information extraction.