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The following operations can be performed with Aliquis: Hence, Aliquis can be applied to any vision-based decision-making activity. What is Aliquis capable of?Īliquis is able to understand a real scene and make decisions based on what it has seen. The core engine of Aliquis is built in Python/C/C++ on OpenCV and TensorFlow/ Keras although other CV/ML backends are pluggable.ĬTO and CEO can rely on available escrow agreements for business continuity of projects based on Aliquis as well as IP assets related to Aliquis. Linux and Windows 10/11 (via WSL) are natively supported.Ī M2M interface for workflow management is exposed via standard JSON-RPC API. ISO for bare metal or virtual machine installations.Command shell through a Conda-based virtual environment.System Integrators can deploy Aliquis in several manners: ML Engineers will exploit the companion AI-assisted collaborative labeling tool LAIRA that supports Aliquis for embedding Machine Vision annotations and predictions into data via XImage.
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Aliquis is an industrial-grade software framework that presents a rich set of features for low-code/no-code developing and deploying real-world machine vision applications for massive complex scene understanding.Īliquis is able to dramatically speed-up complex workflows and to deploy in servers or at the edge machine learning algorithms for manufacturing, inspection, healthcare, monitoring and predictive maintenance, among others.īy combining three types of building blocks (patches, stages, and pipelines) through a human-readable syntax, Aliquis empowers users with no programming skills, but who know what to do, to achieve industry-level applications in the computer vision domain.ĭata Scientists will enjoy a well-documented declarative language, a full set of tutorials, and a multi-platform multi-OS runtime environment.