Computer Vision

Detects and classifies images and objects in real time or from stored images.

Custom models tailored to your business needs.

Use cases

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

Anomaly location to focus maintenance effort on 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.

Damege assessment

Damage detection and classification

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

Capabilities

Detection

Object detection ranging from protective gear on people to identifying facilities from satellite imagery.

Classification

Enables decision-making regarding product quality or characteristics, allowing sorting and filtering in automation processes.

People

Headcount, demographic statistics by age or gender, occupancy management, and safety measures.

Anomalies

Real-time anomaly detection and event/alert classification. Supports monitoring of industrial and retail environments, even across large areas.

Inspections

Automated processing of thousands of images per hour to locate, tag, and classify items within inspection samples.

Thermography

The system integrates standard, thermal, or X-ray sensors and cameras to capture environmental data. These can be mobile, deployed via drones or robots.