Automated optical inspection solution for manufacturers.
Deep-learning-based multi-tenant platform / 12+ month engagement / 3-person team
About the project
Automated optical inspection (AOI) solution enables fast and reliable automated quality inspection of products along the assembly line. Using deep-learning algorithms, the solution can detect even the smallest defects on heterogeneous or reflective surfaces, ensuring high product quality and minimizing the costs of fixing faults.
Image dataset annotation
Each image can be individually inspected in detail, labeled, and assigned to the specific class. Images can be combined into groups and then used for training and retraining deep learning models.
Neural networks are trained in the background and perform object recognition, anomalies and errors detection, annotations and data segmentation.
Role management system
Access to data, projects and various elements within the system is granular and defined for individual users.
Training data and image recognition results are presented in easy-to-read and well-structured dashboards.
Access to the platform can be performed by different tenants. Data is strictly separated to avoid any leaks between clients.
Frontend: Angular, Material UI
Backend: Nest, TypeORM, MySQL, ZeroMQ
Cloud: Kubernetes, Azure, Docker
Machine Learning: Python, TensorFlow, Keras, Pytorch
How it works
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