Think about a traditional CCTV system installed at your office or home. It quietly records everything but offers no real-time alerts no warning like, “Attention! Someone is breaking in!” even when an incident is unfolding right before the lens.
AI cameras change that reality. Thanks to advancements in
deep learning, these devices now have an intelligent, built-in processing
system that allows them to analyze their surroundings and make decisions on the
spot.
Hanwha Vision’s AI cameras bring this intelligence to life through three core principles, each carefully engineered for real-world security demands. Here’s a look at the technology that enables these cameras to perform like an experienced security expert on duty.
Edge AI: Instant Analysis at the Source
In older surveillance setups, cameras had to send large
amounts of video to a remote server for processing because they lacked the
capability to analyze footage themselves. This transfer created delays latency
that often slowed down emergency response.
Modern AI cameras are different. They include powerful
processors inside the device itself a concept known as Edge Computing. The
“edge” refers to the location where the camera is installed. By analyzing data
right on-site, the camera can detect threats or abnormal events in real time,
with virtually zero delay. This innovation eliminates the lag that once limited
traditional CCTV systems.
Engineered for Tough, Real-World Conditions
Security cameras must operate reliably in harsh or
unpredictable environments bright sunlight, rain, fog, or total darkness. These
non-ideal conditions can cause standard AI models to miss important details or
fail to recognize objects properly.
Hanwha Vision’s AI models are trained using extensive
datasets that include difficult and unusual scenarios to ensure maximum
durability and accuracy. The training covers not just common situations but
also challenging ones, such as partially hidden items or objects rarely
captured on surveillance footage. As a result, the cameras deliver stable
detection and classification performance, reducing false alarms even in
visually inconsistent environments.
BestShot: Capturing the Most Important Frame
In security operations, a clear piece of evidence is far
more valuable than general footage. Operators need precise information such as
“a person wearing a red shirt heading east” rather than vague observations.
Hanwha Vision’s AI cameras automatically select and save the
most useful frame of an object, known as the BestShot, by analyzing
sharpness, size variation, and the degree to which the object is obstructed.
This Best Shot is paired with rich metadata generated by the AI, covering not
only object type (like person or vehicle) but also details such as clothing
color, carried items, and direction of movement.
This combination of accurate metadata and the optimal
captured image allows security teams to locate specific targets within seconds.
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