One of the greatest challenges for public authorities is to increase reactivity to improve safety.

 

In France, the government decided to triple the number of cameras. Surveillance operator centers are challenged to manage this significant growth. Indeed, studies shown that operators can focus up to 2 hours on screens. The identification a target can be subjective (based on social attributes) and not necessarily on an abnormal situation.

To face these biases and improve safety, video data analysis is becoming necessary for local authorities. However due to the volume and complexity of data, the analysis cannot rely on the cloud.

The analysis of all this video data on BullSequana Edge AI algorithms allows real time, local and cost-efficient analysis. You can track a target based on its attributes, find his path and his real-time location.

 

Edge computing benefits

Ensure constant analysis

BullSequana Edge ensure an efficient continuous service, including in underground and buildings with low connectivity.

Use of data analysis results in real time and locally

Real-time decision unable to react immediately to insure every abnormal situation is identified and under control.

Maintain the sovereignty of all your data

Intrusion detection and data encryption systems protect your data from external threats however BullSequana Edge is placed (indoor or outdoor).

Reduce operational costs

Data storage and analysis cost in the cloud is significant for high volume and complex data especially for videos, as it produces complex and huge data volumes. Thanks to local and autonomous storage and analysis, BullSequana Edge allows lower costs. Data is sent to the cloud for mid/long term storage and monitoring