Industrial meter reading with OpenVINO

The aim of the project is to read industrial meter with Deep Learning frameworks and OpenVINO .The project is divided into two parts. In the first part of the project, we created a deep learning-based solution to read industrial meters. We achieved this by first detecting meters in the frame with the EfficientDet-d0 model, then doing semantic segmentation of meters with UNET (with a Resnet50 backbone) to obtain a segmentation map with which we calculated readings, and for inference we use the OpenVINO runtime. In part two of the project, we further optimize the solution pipeline to support multiple camera inputs with OpenVINO-toolkit functions like AsyncInferQueue and other performance hints, along with a web-based GUI with HTML,CSS, JS, and Flask web framework.