Analyze, interpret, and process
images with precision and depth.
Eyerus is a powerful artificial vision platform that leverages artificial intelligence. This cutting-edge solution offers a wide range of features.
Dataset Acquisition and Management
- Easily gather data from various sources like industrial cameras, archives, and file systems.
- Configure acquisition parameters and real-time data stream visualization.
- Efficient dataset management with subset creation and advanced search through customizable filters.
- Advanced tools for object annotation, segmentation, and anomaly detection.
- Ability to draw bounding boxes around objects, create precise masks, and identify abnormal images.
- Smart Annotator to expedite annotation without prior training.
Deep Learning Model Training
- Intuitive interface for training deep learning models.
- Selection of training and validation data.
- Real-time model performance monitoring during training.
- Training queue management and selection of the most accurate model.
- Object detection in real-time image processing.
- Utilization of trained artificial intelligence models to identify objects.
- Intuitive display of results on the user interface.
- Creation of custom workflows for automated image processing.
- Use of pre-configured blocks for pre-processing, object recognition, quality verification, and other operations.
- Customization and modification of workflows to suit specific application needs.
- Custom outputs (webhook, notification, email).
- Intuitive and interactive React-based interface to simplify deep learning model creation, training, and management.
- Accessibility for a wide range of users, including those without technical expertise.
Deep Neural Networks
for creating custom deep learning models.
Supervised machine learning
for object classification and detection
Convolutional Neural Networks
for image analysis
to enhance model parameters during training
Operational Cost Reduction.
Substituting human intervention and eliminating human error.
Increased process transparency and reliability.
Improved process efficiency and automation.
Creation of precise and reliable models.
Enhancement of product and service quality.
Reduction of production times.