Video analytics is a powerful tool for businesses to gain insights into customer behavior and preferences. However, it can be difficult to implement due to the complexity of the technology involved. Lumeo has developed a low-code vision AI platform that simplifies video analytics by providing an easy-to-use interface and automated processes.
Lumeo’s vision AI platform enables businesses to quickly analyze videos without having to manually code or configure complex algorithms. The platform uses computer vision and deep learning technologies to automatically detect objects in videos, such as people, vehicles, animals, products, etc., and then extract meaningful data from them. This data can then be used for various purposes such as understanding customer behavior or optimizing marketing campaigns.
The platform also provides advanced features like facial recognition which allows users to identify customers based on their faces in real time; object tracking which helps track objects across multiple frames; scene segmentation which divides videos into different scenes; and motion detection which detects any movement within a frame of video footage. All these features are powered by artificial intelligence (AI) algorithms that enable the system to accurately recognize patterns in video content with minimal human intervention required.
In addition, Lumeo’s low-code approach makes it easier for non-technical users who may not have coding experience but still want access to powerful analytics tools without having to learn how they work first hand. With its intuitive drag & drop user interface anyone can easily create custom dashboards with visualizations tailored specifically for their needs without needing any programming knowledge whatsoever! Plus all this is done securely over cloud infrastructure so there’s no need worry about hardware costs either!
Overall Lumeo’s low-code vision AI platform offers an efficient way for businesses of all sizes – from small startups up through large enterprises –to leverage the power of video analytics while keeping implementation costs down at the same time! By automating many tedious tasks associated with traditional methods of analyzing videos companies can now focus more on what matters most: gaining valuable insights from their data that will help them make better decisions faster than ever before!