A leading telecom company aims to boost operational efficiency by integrating deep learning-based object detection, enhancing network monitoring, infrastructure management, and resource allocation for superior service and performance.
The Chalange
- Identifying the appropriate labeling methodology for OCR and air filters to ensure precise data capture and annotation.
- Developing an efficient model for image processing and segmentation to accurately detect and classify various elements.
- Ensuring data quality and accurate image segmentation through rigorous validation and quality control measures.
- Implementing robust pre-processing techniques to enhance image clarity and facilitate better recognition and segmentation.
- Conducting extensive training and testing of the model to achieve optimal performance and reliability.
What didData Peace AI do ??
Data Collection: The first step involves downloading 200 air filter images using custom scripts to ensure a comprehensive dataset. This dataset is meticulously created and labeled to facilitate effective training and testing phases.
Model Training: Setting up and configuring the training environment is crucial for the next phase. The model is continuously monitored and fine-tuned to achieve optimal performance and accuracy.
OCR Solutions: To enhance text recognition capabilities, OCR is implemented using a vision SDK on mobile devices. Additionally, OCR post-processing is performed via API with regex patterns to ensure precise and reliable text extraction from images.
