Challenge
Manual inspection of fibre optic cable installations was slow, labour-intensive, and prone to inconsistency, creating significant delays in compliance and deployment timelines.
Solution
We developed an automated inspection system powered by computer vision and machine learning that validates fibre optic installations in real time.
Results
- Real-time fibre optic inspection with an AI-driven photo validation system
- Reduced deployment errors and costs
- Scalable and customizable across environments
- Enhanced operator efficiency
Technology
Python · PyTorch · Hydra · GradCam · FastAPI · OpenCV · NumPy
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