A DATA-FIRST APPROACH TO ARTIFICIAL INTELLIGENCE
Welcome to ex-nihilo – Enhancing Visual Inspection with Synthetic Image Data
At ex-nihilo, we specialize in creating high-quality synthetic image data to train neural networks for reliable defect detection. Our solutions accelerate inspection processes, making them faster, more efficient, and cost-effective. Ideal for industries seeking to improve their inspection capabilities, our technology transforms how defects are identified and addressed.
Services
REQUIREMENT ENGINEERING
Depending on your specific Requirements we are happy to collaborate with your domain experts and IT departments to adapt the solution.
GENERATE TRAINING DATA
Build 3D-Environments based on your specific image or video acquisition technology.
R & D
We are happy to raise the scientific status to a new level with you.
Training
Build detection models for your specific use-case and fault detection problem.
Synthetic Data
Simply better
Diversity
Synthetic image training data can cover a wider variety of conditions and situations than traditional training data based on real images. This allows artificial intelligence models to better prepare for unexpected scenarios.
Control
Unlike real images, synthetic training data can be very precisely controlled to simulate specific scenarios and conditions. This allows targeted tests to be performed to determine if the model is able to recognize specific anomalies or situations.
Efficiency
Creating synthetic training data is typically much more efficient and cost-effective than collecting real image data. This allows companies and organizations to train artificial intelligence models more quickly and easily and bring their applications to market faster.
Scalability
Synthetic training data can be easily scaled to provide a larger number of training examples. This allows models to be trained more quickly and effectively to achieve higher accuracy and robustness.
Adaptability
Synthetic training data can be easily adapted to different scenarios and applications. This allows companies and organizations to create artificial intelligence models that are tailored to their specific requirements and better suited to their needs and challenges.
Machine Learning
Good understanding an profound knowhow
Increased efficiency
Machine learning can help automate visual inspection tasks, allowing them to be completed more quickly and efficiently than traditional manual methods.
Improved accuracy
Machine learning algorithms can be trained to identify defects with a high level of accuracy, reducing the risk of missed or misidentified issues.
Scalability
Machine learning can be applied to large datasets, allowing for the analysis of vast amounts of inspection data in a relatively short amount of time.
Cost savings
By automating inspection tasks and identifying defects early, machine learning can help reduce the need for costly repairs and maintenance.
Predictive maintenance
By analyzing historical inspection data, machine learning can help identify patterns and predict when maintenance or repairs may be necessary, allowing for proactive maintenance and reducing downtime.
Other Project Ideas?
You would like to implement your own project?
We are happy to support you in finding the right solution for your problem, implementing it and then taking it into productive operation.
