Leveraging state-of-the art AI algorithms

Perfect for not well-defined problems

Some problems can be described mathematically (e.g., that a diameter has to be precisely 5mm). Our technology is perfect for problem that can’t be easily described in such a manner.

Detects unique features

deepsense Quality algorithms learn the complex patterns and are able to detect features that are non-intuitive even to the naked human eye.

Accurate even without defect examples

Our technology allows to detect even such anomalies and defects that were not previously observed or no training data was provided.

A modular architecture of state-of-the-art AI models

Analyzes all video streams in real time, identifying potential defects and checking for anomalies

A modular architecture of state-of-the-art AI models

A modular architecture of state-of-the-art AI models

The underlying AI models

Consist of custom designed neural networks following the recent advancements in machine learning and pre-trained on a massive, cross-sectional dataset of diverse worksite imagery. Network architectures are selected based on a function and purpose of individual models, some of them include

Wide range of convolutional neural networks (CNNs), including: Faster-RCNN, Mask-RCNN, YOLO, SSD, RetinaNet

Long-short term memory networks (LSTMs)

Generative adversarial
networks (GANs)

Variational auto-encoders (VAEs)

Individual models

Deployed in a containerized microservice-based architecture to ensure optimal scalability and undisturbed uptime.

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