Client: Manufacturing Company
The Challenge
The client needed a reliable solution for detecting product defects in real-time to reduce waste and improve production efficiency.
The Solution
- Developed a computer vision-based quality inspection system using OpenCV and TensorFlow.
- Deployed edge AI cameras on the production line to capture and analyze product images.
- Implemented anomaly detection algorithms to flag defective products.
- Integrated the system with an IoT dashboard for real-time monitoring.
The Results
- 90% accuracy in defect detection.
- Seamless integration Reduced production waste by 25%.
- Improved operational efficiency, saving $500,000 annually.
- between HANA, SAC, and Analysis for Office, improving decision-making efficiency.
