Computer Vision Application Suites

Our Computer Vision (CV) application suites are based on the latest and most powerful AI / ML technologies and algorithms which are aggregated to CV Capability Packages. The CV Capability Packages together with the cloud-based application framework enable us to effectively create and deliver high-performing CV applications for different industries and customer segments.

The CV Capability Packages include pre-qualified CV algorithms e.g. for Classification, Detection, Semantic Segmentation and Scene Understanding, which are used in creating dedicated applications for different use cases.

Our solutions and technologies can run on cloud, on-premise and edge platforms with inference engines.

Industrial Process Monitoring & Quality Control

The application suite contains a wide range of process and production line state monitoring, quality assurance and risk triggering applications. Applications enable more autonomous working procedures in control rooms and production lines, as well as more predictive and efficient maintenance work.

Customer benefits include improved quality control, work cost savings, faster response times, minimized downtime as well as more productive process performance.

Example application areas:

  • AI-based real-time monitoring, analysis, risk triggering and fault detection of production lines and conveyor belts utilizing video-streams and sensor data
  • Work quality control for welding seams based on microscope images and complex quality rules to secure optimal quality and save costs

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Human Activity Detection and Analysis

The application suite specializes in applying AI technologies that are best-suited in identifying human behavior and postures, as well as analyzing crowd movement.

Capabilities include Human Pose Estimation, Hand Gesture Recognition, Face Similarity Search and Face anti-spoofing technology.

These capabilities could be used in

  • Elderly care to enable 24/7 monitoring solutions which alert in case of identified high-risk human postures
  • Surveillance & Security, to detect and alert behavior that should cause security teams to take action
  • Anonymous crowd counting and movement analysis to trigger and predict risks in interior and exterior spaces

Our solution architecture enables fast development and deployment of applications for similar use cases.

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Human Activity Detection and Analysis

The application suite specializes in applying AI technologies that are best-suited in identifying human behavior and postures, as well as analyzing crowd movement.

Capabilities include Human Pose Estimation, Hand Gesture Recognition, Face Similarity Search and Face anti-spoofing technology.

These capabilities could be used in

  • Elderly care to enable 24/7 monitoring solutions which alert in case of identified high-risk human postures
  • Surveillance & Security, to detect and alert behavior that should cause security teams to take action
  • Anonymous crowd counting and movement analysis to trigger and predict risks in interior and exterior spaces

Our solution architecture enables fast development and deployment of applications for similar use cases.

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Traffic and Transportation

The application suite for traffic management and transportation include

  • Real-time, image-based detection, classification and tracking algorithms for maritime industry to enable more autonomous processes and decision making
  • Real-time object detection and classification for smart traffic monitoring, simulations and forecasting

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Medical Imaging AI

Our Medical Imaging AI suite contains specialized deep learning algorithms and AI / ML models for analyzing medical imaging data, such as histopathological cancer images, MRI and CT images.

We have also developed a set of deep learning based AI models to predict and classify high and low risk patients in intensive care units.

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Medical Imaging AI

Our Medical Imaging AI suite contains specialized deep learning algorithms and AI / ML models for analyzing medical imaging data, such as histopathological cancer images, MRI and CT images.

We have also developed a set of deep learning based AI models to predict and classify high and low risk patients in intensive care units.

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