AIVERO BLOG

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Build a 3D machine vision that scales

Add value to your data by introducing a third dimension to your video monitoring system. Using cameras with depth-sensing technology enables the collection of a richer data set, and allows for new features and a higher degree of accuracy.

Over time a richer data set becomes more valuable as it can be leveraged using machine learning algorithms. However, the challenge with depth video is its data rate and the requirement it puts on your bandwidth and storage options.

Aivero’s proprietary technology makes it easier to scale up the use of 3D vision for surveillance of monitoring. Whether you are monitoring machines, people, animals or areas of interest – adding a depth level can provide you with more data that improves your ability to count, localize or profile what you monitor.

Our technology efficiently compresses and streams depth data in real-time and enables the use of network or cloud services. The solution offers what you need to stream, store and monitor 3D video for any surveillance or monitoring application.

With a dashboard to administer cameras and streams our solution scales with your needs and offer flexibility towards hardware and storage preferences as some of many features:

– Up to 20/1 compression ratio

– Stream video in full-HD and 30 fps

– Low latency

– Simple API 

– Camera agnostic

With a dashboard to administer cameras and streams our solution scales with your needs and offer flexibility towards hardware and storage preferences as some of many features:

– Up to 20/1 compression ratio

– Stream video in full-HD and 30 fps

– Low latency

– Simple API 

– Camera agnostic

Easy to integrate

Build your solution using our low-level C++ API, GStreamer plugin or access it directly in your openCV application

The solution supports all types of depth cameras including the Intel RealSense series and Microsoft’s Azure Kinect.

Get a demo and find out how we can best help you.