Use cases

VSaaS

SaaS companies offering video surveillance as a service integrated with custom-built or re-branded IP cameras.

The main characteristics:

1. Several indoor and outdoor camera models with custom firmware.

2. 10,000+ cameras.

3. Rented cloud infrastructure (like AWS) or a dedicated data center.

Solution:

VXG will build a custom version of the camera’s firmware in cooperation with the camera manufacturer. This will make the camera fully plug-and-play.

VXG will integrate the Cloud VMS with the customer’s authentication service, web front-end, and mobile applications. VXG will help with integration with public and proprietary AI services.

Video analytics service

The main characteristics:

1. Customer deploys or already has edge devices on-prem.

2. Videos from IP cameras are processed by AI on the edge devices.

3. Metadata is pushed to the cloud and should be synchronized with images and clips.

Solution

Run VXG Cloud NVR/Gateway docker image on the edge device. It will manage cameras in the local network through ONVIF/RTSP. Live and recorded videos, image,s and clips for any camera can be retrieved using NVR/Gateway REST API for further AI processing at the edge.

The same live and recorded videos, images, and clips can be retrieved through the Cloud REST API, which is identical to NVR/Gateway REST API.

Metadata, images, and clips can be stored on the Cloud while streaming videos at the edge to reduce bandwidth consumption.

Monitoring centers

The main characteristics:

1. Connecting to a variety of different cameras.

2. 1000+ cameras for monitoring.

3. Receiving events from cameras and video analytics.

4. Backward audio from the mic and pre-recorded audio files.

Solution

Use direct ONVIF connectivity where it is possible. Use camera plug-ins where opening ports or VPN connection is a challenge. Store clips and images associated with events on the Cloud for further verification and analysis.