Multicular gives you a faster and easier way to develop computer vision AI- applications or services. You can deploy them on premises, at the edge (Raspberry Pi, etc.) and in the cloud.
To set the computer vision system configuration you need, just specify yml-config - the system will start with it.
We designed and developed a beautiful, responsive GUI optimized for loading data for processing.
Types of downloaded data:
We provide cloud solutions that help businesses streamline their operations and increase productivity. Multicular also is managed with Kubernetes (c) and Helm Charts.
Our team of experts can help you with all your computer vision tasks. We work with businesses of all sizes to provide customized computer visions solutions that meet their unique needs.
We provide 24/7 support to our clients to ensure that their systems are always up and running. Our team of experts is available around the clock to help you with any technical issues that may arise.
In this case:
Monitoring in real time and in recording of traffic at the intersection, taking into account the type of cars and the route of each car at the intersection
use Yolo detector + OpenCV trackers
cascade of 2 Yolo detectors
The source code of MULTICULAR is written in C++, with the binding for Python.
We have a team of experienced software developers who are passionate about creating user-friendly software solutions.
We have a
huge range of products made by Multicular.
We follow an agile software development process that emphasizes collaboration, flexibility, and rapid prototyping to ensure that our users are satisfied with the final product.
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