Optical Character Detection (OCD) and Optical Character Recognition (OCR) are computer vision techniques used to extract text from images. Use cases vary across industries and include extracting data from scanned documents or forms with handwritten texts, automatically recognizing license plates, sorting boxes or objects in a fulfillment center based on serial numbers…
]]>NVIDIA Triton Inference Server streamlines and standardizes AI inference by enabling teams to deploy, run, and scale trained ML or DL models from any framework on any GPU- or CPU-based infrastructure. It helps developers deliver high-performance inference across cloud, on-premises, edge, and embedded devices. The nvOCDR library is integrated into Triton for inference.
]]>Automatic license plate recognition (ALPR) on stationary to fast-moving vehicles is one of the common intelligent video analytics applications for smart cities. Some of the common use cases include parking assistance systems, automated toll booths, vehicle registration and identification for delivery and logistics at ports, and medical supply transporting warehouses. Being able to do this in real…
]]>Accuracy is one of the most important metrics for deep learning models. Greater accuracy is a prerequisite for deploying the trained models to production to solve real-world problems reliably and effectively. Creating highly accurate models from scratch is time-consuming and capital-intensive. As a result, companies with limited data and resources struggle to get their AI solutions to market.
]]>