Computer Vision

Custom Computer Vision systems: object detection, OCR and document AI, classification and segmentation, real-time video analytics, automated quality control in manufacturing, facial recognition and biometrics, ANPR (license plate reading), people counting and retail flow analysis, visual inspection on industrial lines. Stack: OpenCV, TensorFlow, PyTorch, YOLO, MediaPipe, plus cloud services (Google Cloud Vision, AWS Rekognition, Azure Computer Vision) and edge inference (NVIDIA Jetson, Coral) when latency and privacy require it. From POC on your client datasets to production rollout with MLOps pipelines, drift monitoring and continuous re-training.