Technology

Hardware agnostic

Deepsense Safety can be implemented on your existing monitoring hardware which limits the need for investments

Accurate even without perfect setup

We know that perfect circumstances are not always possible in manufacturing environment – our technology adapts to conditions in your factory

Highly customizable

Our technology is based on AI – it can be trained to detect equipment or threats which are unique for your factory

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)

The underlying AI models

The underlying AI models

Individual models

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

Individual models

Individual models

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