Business development

Deep Learning for object detection in satellite or aerial image

It locates infrastructures and facilities from aerial and satellite images, to find new business opportunities for your company or to detect structural or natural changes.

Quality assurance

Deep Learning for image classification

Classification of objects in different degrees of deterioration or maturity to discard in real time while on the production line or massively.

Maintenance

Anomaly detection and predictive maintenance

Troubleshooting to focus the maintenance effort on the areas of greatest need and help plan your team's work orders.

Inspections

Object detection and classification

Troubleshooting to focus the maintenance effort on the areas of greatest need and help plan your team's work orders.

Damage assessment

Damage detection and classification

Damage location and damage level classification, identification of damaged parts for automating the repair cost.

DETECTION

Object detection of safety materials in people, or facilities in satellite photos.

ANOMALIES

Detection of anomalies in real time and classification of events and alerts. It allows the monitoring of industrial and retail environments.

CLASSIFICATION

It allows making decisions on product quality or features to sort and screen in automation processes.

INSPECTIONS

Automatic processing of thousands of sample images per hour to search, label, and classify results from inspections. Regular photography, digital microscope, and even x-ray can be leveraged for this.

PEOPLE

People count, statistics by age or gender, for personalized recommendation of products and services.

THERMOGRAPHIES

Thermal cameras and other spectra allow to analyze and detect defects in industrial facilities and machinery of all kinds.