EyeFlow Inspection

Artificial Intelligence
applied to Industry 4.0

Metal stamping

Real-time inspection of the prominent anomalies detected in the production process of stamped metals such as cracks, burrs, deformations, scratches, marks, oxidation, and lack of material.

Transport

Vehicle counts and analysis of their specificities, such as axles and critical conditions, detection of road conditions, weather rail or road, materials discarded at the margins, analysis of electrified airways, risks to people, and other conditions.

Automotive

Real-time inspection of vehicle production lines, whether intermediate or final stations, analyzing the components according to the "recipe" of each vehicle, as well as the surface/painting analysis looking for any anomalies such as stains, risks, impurities, etc.

Complex inspections

Automation of complex visual inspection processes in the manufacturing industry, ensuring accuracy and speed with repeatability and traceability of all inspected items.

Robust, scalable, flexible and cost efficient for Industrial Video Analytics demands

Eyeflow is a platform that joins ComputerVision + AI + NoCode to create Visual Inspection solutions in Industry. With an easy-to-learn visual interface, anyone can create an application in minutes and solve their visual inspection needs on the production line.

“Our customers needed to make the inspection process on the production line more efficient and accurate, so we created a unique AIaaS (Artificial Intelligence as a Service) platform, robust, scalable, flexible and cost efficient to meet Video Analytics demands for Industry 4.0”

What challenges does it solve?

Train machines to perform

All of the manufacturing processes require a visual inspection to some extent. Visual analysis is a very complex task for machines, and hence such activity used to be performed by people most of the time. But with the advancement of AI-DeepLearning, it was possible to train machines to perform the interpretation of the content of images and videos.

For who

Main Applications

Visual Inspection
Quality Assurance process
Process Monitoring
Count & Classify
Defects & Anomalies detection

The advantages of artificial intelligence inspection:
more productivity, greater accuracy

Human Inspection

Human inspection is subject to operator perception and experience, affecting accuracy and repeatability.

Manual inspection is affected by fatigue, time of day and day of the week, illness, and personal conditions.

This activity requires rest periods during the journey of the employees.

There are inconsistencies and discrepancies among different inspectors.

Human inspection is also affected by environmental conditions or the inspection process itself.

Humans can have biases in the inspection process, whether intentional or not.

AI Inspection

High repeatability and consistency. Once the platform trains the algorithm, the result is always the same.

There are no bias or interpretation issues in the inspection process.

Every inspection generates evidence, and EyeFlow can trace and record it for as long as necessary.

Inspection via AI is virtually instantaneous, with no need to stop the process.

The machine can operate 24 hours a day, 365 days a year, always consistent in virtually any environmental conditions without interruption.

Advantages of

EyeFlow Inspection Platform

No technological lock-in. Independent of specific/proprietary hardware.
Allows the use of any image sensors.
Allows integration with other platforms and types of equipment.
It offers a complete dashboard plus an open database for queries.
Lifetime licenses.

Design to

Boost productivity

Intuitive easy to learn interface.
Low efforts, fast result.
Continuous improvement: 90% of accuracy in 2 days of work, 97% in 1 week, 99,9% in 1 month.

Clients

Partners

Testimonials