Edge Device Management

Roll out your AI vision apps to a wide audience

Integrated management of edge devices is made possible by the Ai-Smartvision Suite platform. Oversee a network of edge devices equipped with vision sensors that can detect and label various items. Set up a system of distant edge devices to run your AI vision apps. Both small businesses and multinational conglomerates can benefit from the adaptability of integrated edge fleet management.

Edge Devices with cameras

Connect edge devices with cameras to build AI vision systems

Ai-Smartvision Suite offers an edge device management to link all endpoints over the cloud. The computers or servers that make up this edge device have processing power built right in. Connected to cameras, intelligent edge devices collect data in real-time through the application of on-board computer vision Machine Vision.

We support sixty-plus computing devices and edge servers across architectures and are hardware-independent. Enroll This sentence is paraphrasing from an article about Intel x86 (NUC) and embedded systems from Nvidia. The Nvidia Jetson TX2, the Raspberry Pi, and others such as them.

Manage Your Fleet from Anywhere

Manage all your edge devices from anywhere in the world

Intuitive interface with full visibility into real-time device status and activity. Organize all of your devices with tags and filters. Remotely configure and troubleshoot individual devices.
Device Diagnostics

See how each device is doing from afar

Robust system analytics for remote management of all enrolled edge endpoints’ system health. You can access the device logs remotely through the device management. Keep an eye on the status of the devices with the help of an in-depth system analytics dashboard.