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.
deepsense Quality algorithms learn the complex patterns and are able to detect features that are non-intuitive even to the naked human eye.
Our technology allows to detect even such anomalies and defects that were not previously observed or no training data was provided.
Analyzes all video streams in real time, identifying potential defects and checking for anomalies
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)
Deployed in a containerized microservice-based architecture to ensure optimal scalability and undisturbed uptime.
If you wish to learn more about out offer, products or possibilities to cooperate, just leave your email address. Our team will reach out with all the information you need.
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Find us
United States of America
2100 Geng Road, Suite 210
Palo Alto, CA 94303
Poland
Al. Jerozolimskie 44
00-024 Warsaw
Let us know how we can help
Email address
quality@deepsense.ai
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