Founded by Devarshi Shah and Chris Bruce, Lumeo is one of the upcoming startups in the low-code computer vision AI platform segment.
Security CamerasVision AI represents one of the complex domains of artificial intelligence. Enterprises building computer vision solutions will have to invest in teams that are well-versed in deep learning, convolutional neural networks, MLOps, edge deployments, and business intelligence. To accomplish the end goal of integrating vision AI outcomes with existing analytics, the teams must perform plumbing to connect various existing and new components, which is laborious and expensive.
Lumeo aims to reduce the toil involved in building vision AI solutions. It simplifies tasks such as camera management, ingesting video feeds, processing, storage, transfer, deploying AI models, and correlating the inference results with existing KPIs of a business intelligence system. Customers can bring any existing camera, video stream, media file, video management system and NVR to Lumeo with minimal effort. The cameras may be connected via RTSP, HLS streams, ONVIF, or even USB. Once the video source is connected to the platform, they can choose from a wide range of ready-to-use, curated vision AI models to perform inference. The output from these models can be visualized within the platform or extended to third-party destinations through extensible connectors.
Lumeo comes with a visual canvas that’s appealing to non-developers and business decision-makers. The canvas enables users to build a pipeline through a simple drag-and-drop interface. The tool allows custom code to extend the use case and scenarios for power users and technical audiences. It’s easy to prototype a solution and graduate it to production with minimal changes.