Sm_All, edge on-device AI with deep learning

A 10x12cm electronic board with embedded GPU calculator to bring live AI to cameras

Updated on Sunday, June 19, 2022
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This end-to-end solution brings artificial intelligence and deep learning close to your cameras. Without the need for servers, cloud-based infrastructures (1 Sm_All per camera stream), or internet connectivity, we supply the hardware and the software solution.
Technology Partner
Milestone Verified
Up to < 20
What is needed

From PHOENIX AI

  • Sm_All

From Milestone Systems

  • Milestone XProtect
2020 R1

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Documentation
Overview
How it works
How to install
Overview

Sm_All, edge on-device AI with deep learning - A 10x12cm electronic board with embedded GPU calculator to bring live AI to cameras

Sm_All, edge on-device AI with deep learning - A 10x12cm electronic board with embedded GPU calculator to bring live AI to cameras

With only 10W power consumption, due to NVIDIA GPUs, Sm_All brings live Artificial Intelligence with complex detection scenarios to live cameras. Directly connected to the IP camera through ethernet or PoE (in the field or on premise), Sm_All automatically discovers the camera and processes its stream. Sm_All outputs the processed stream in real-time without any delay. The resulting outputs are a live video stream that includes detections and a growing log file (JSON, XML, …) that contains all detected objects, classified objects, DTG (date-time group), and its locations in the frame.

Key features

  • Automatic network discover
  • Automatic camera discover
  • Up to 4 simultaneous detections with AI and Deep learning in a row (various detections, classifications and segmentations available)
  • Real-time IVA (Intelligent Video Analytics) with existing IP camera
  • Eco-green 10 watts power consumption
How it works

How to install

Documentation

This is where you can find additional documentation

Milestone Verified Read verification

Specification

Required PHOENIX AI product(s)
V1.1.

Has proven compatibility with the following Milestone versions:

Is also expected to work with:

Country availability

Your location is: United States

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