A group of CloudCams and devices that are installed in an account form an intelligent grid. The ML algorithm that run on the surveillance data that is being captured in the cloud is able to track people and objects across cameras, gives the ability to stitch events across multiple cameras from historical data and more.
The web UI provides a way to partition these CloudCams into several partition for ease of viewing.
Figure 2: Live view from 4 CloudCams in a single partition.
Radar target type classification
MultiModel Machine Learning Across Traits
Multiple Multi-modal Sensor Event Detection Framework
To Die or to Mould
Cloud vs IP Cameras
OCPP Compliant OpenEVSE
Bharat EV standards – Charging up the Indian EV market
Next generation of surveillance
Broadcast your surveillance data
Video formats: H264 Vs Mjpeg