Last year, a fire occurred at the Badim hospital in the state of Rio de Janeiro, and according to a report from G1, the incident happened due to a problem with the generator in the building's basement, which caused the fire to spread to the upper floors. All these events were monitored by surveillance cameras, and they can be viewed in the video below:
Although the fire and the deaths were caused by various factors, the focus of this article is to analyze events like these and relate them to CFTV market technologies that can assist in risk prevention, whether they are related to fire, theft, or any adverse situation.
The Importance of Monitoring
It is common that when starting a surveillance system implementation project, the main focus is on the installation of the monitoring system and how the network will transmit and store data. This is also usual in home and small business monitoring, where installation is almost always not done by professionals.
However, when an implementation project is directed at larger environments with a higher flow of people, greater care is needed not only in defining requirements and installation but also in post-installation, which in this case would be continuous monitoring and technical maintenance of the equipment.
It is possible that the concern for continuous monitoring is one of the most essential parts of medium and large-scale projects. After all, it is at this stage that many everyday risks can be prevented. For this, it is not enough for the equipment to simply be functioning and sending data to a storage center; certain measures are necessary for quick decision-making so that problems like fires can be resolved effectively, consequently saving lives.
Automatically Detecting Anomalies in Daily Operations
Basically, there are two ways to prevent and make decisions in continuous monitoring. The first would be hiring specific professionals for monitoring who can have the exclusive function of watching the cameras; however, there are human limitations, as it is not possible for one person, for example, to be fully attentive while monitoring hundreds of cameras at the same time.
The second way of prevention is video analysis software for IP cameras, which, in conjunction with a professional, can monitor various locations and make multiple decisions automatically and/or relay events considered “strange” for human decision-making.
An example of this type of solution is Agent Vi.
Agent Vi
Agent Vi has become a global leader in video analysis solutions and has highly effective software such as sav Vi and the latest inno Vi, featuring real-time scanning and analysis technology, along with alerts and algorithms for BI (business intelligence).
Anomaly Detection
Basically, anomaly detection is a function of Agent Vi that allows the software to identify events, objects, people, vehicles, animals, etc., that are outside a pattern established by monitoring and generate an immediate alert.
Its differentiator compared to other software is how Agent Vi calibrates its algorithms for machine learning, allowing it to autonomously learn to identify the monitored environment and its types of anomalies even in low-light conditions.
In the case of the fire that occurred at the Badim hospital, software like this could, for example, generate alerts at the moment the camera identified smoke and transmit it so that the team could evacuate the floors quickly and safely.
Learn more about Agent Vi on our exclusive Hotsite and request a quote for your CFTV project!
