Have you ever imagined what it would be like if we could "teach" surveillance cameras to be more intuitive about what they film and analyze in their scenes? What if I told you that this is already a reality?
Today, artificial intelligence at the edge allows for faster and more automated analysis of image data, relying less and less on human intervention.
For example, your video surveillance system detected a vehicle in the scene, but it is necessary to know whether it is a car, a bus, or a truck in order to decide which procedure to adopt. It is thanks to artificial intelligence (AI) that this differentiation has become possible.
Its benefits go beyond object differentiation. It can speed up the response time to a risk situation and even assist in future investigations.
Want to know more about what edge artificial intelligence can do for your video surveillance? Then just keep reading this post! ?
What is artificial intelligence (AI)?
Actually, it’s quite simple. Artificial intelligence is human-like intelligence exhibited by a software system. It simulates the human ability to reason, perceive, make decisions, and solve problems effectively.
Extra: Edge analysis refers to the analysis of data from a non-central point of a system such as a network switch, peripheral node, or connected device or sensor.
How can it transform your video surveillance?
Currently, most image analyses from edge security cameras only show when something or someone is in motion. After this initial analysis by the video management system (VMS) on centralized servers, a human is needed to interpret exactly what the event is and whether it poses any threat or risk to security.
To understand whether an object is a vehicle, a human, an animal, or anything else, we can "train" a video system to detect and classify the object.
For example, the analysis would detect the vehicle and trigger an alert, and with the intelligent deep learning technology from Axis , it could provide more details such as what type of vehicle it is. Is it in an area that could cause problems or is there an immediate danger? Is it a broken-down bus that could put people at risk during disembarkation?
Benefits of Edge Analysis
The greater accuracy of edge analysis and the ability to distinguish between various classes of objects reduce the rate of false positives. This also decreases the time and resources needed to investigate false alarms. Proactively, edge analysis creates a more appropriate and effective response. For example, running AI analyses at the edge can identify objects on a highway and alert drivers.
Additionally, the learning capability helps distinguish between a human and a vehicle, which can help define the severity level of alerts issued to drivers. If cameras spotted someone in danger on the road, they could automatically and autonomously activate signals to reduce traffic speed and alert emergency services.
Over time, the developers behind the analysis are able to identify useful trends for traffic planning and management, as well as for other authorities interested in the behavior and conservation of wildlife that may cross the road, for example.
Being able to differentiate the type of traffic (pedestrians, cyclists, drivers, commercial vehicles) provides valuable information about trends that assist civil engineers in planning the smart cities of the future.
Convert Data into Information
An important benefit of edge analysis is that the process is performed on the highest quality video images, as close to the source as possible. In a traditional model, when analysis occurs on a server, the video is often compressed before being transferred, so the analysis is done on reduced quality video.
Moreover, when analysis is centralized, occurring on a server, the more cameras are added to the solution, the more data is transferred, creating the need to add more servers to handle the analysis.
Implementing powerful analyses at the edge means that only the most relevant information is sent over the network, reducing bandwidth and storage usage.
Meet Axis Communications
Axis is a Swedish company founded in 1984. A pioneer in providing IP video surveillance solutions, it launched the world's first network camera in 1996.
Since its founding, Axis has been enhancing and innovating its products and technologies, offering the market the best network equipment with the most advanced technologies for effective analysis, including edge artificial intelligence.
And if you want to learn more about the AI equipment from the manufacturer, come to IPMarket and get a quote from our specialized team.
