Automated optical inspection solution for manufacturers.

Deep-learning-based multi-tenant platform / 12+ month engagement / 3-person team

automatic vision system inspectio of products along the assembly line.jpg

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.

Product features

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.

Deep-learning

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.

Data analysis

Training data and image recognition results are presented in easy-to-read and well-structured dashboards.

Multi-tenancy

Access to the platform can be performed by different tenants. Data is strictly separated to avoid any leaks between clients.

Services

Software Engineering

Technologies

  • Frontend: Angular, Material UI

  • Backend: Nest, TypeORM, MySQL, ZeroMQ

  • Cloud: Kubernetes, Azure, Docker

  • Machine Learning: Python, TensorFlow, Keras, Pytorch

Product Team

3 engineers

How it works

How it works schema.png
quality control manufacturing machine.jpg

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Let's talk 

Interested to learn more on how Radency can bring value to your business? Drop us a line!