Page 16 - Security Today, March/April 2025

A R T I F I C I A L I N T E L L I G E N C E
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Teaching AI New Tricks
By Adam Lowenstein
cameras are evolving the role of traditional sur-
You have probably heard that AI-enabled security
veillance cameras, shifting the focus from passive
monitoring to active problem-solving and op-
erational insights. AI technology changes fast, so
what is new can be considered only news in just a few months.
In the security fi eld, the latest cameras have evolved into smart
IoT sensors capable of processing a wealth of data at the edge (in-
camera). Through advancements like on-site learning and open-
platform architectures, these devices are taking on new responsi-
bilities, from recognizing unique, custom objects to hosting diverse
third-party applications that address specialized challenges.
1 6 These “new tricks” mark a signifi cant milestone in the fi eld
of professional security, emphasizing fl exibility, intelligence and
collaboration.
ON-SITE LEARNING: EMPOWERING CUSTOMIZATION
One of the most groundbreaking features of AI-enabled cameras
is on-site learning, which allows users to train cameras to recog-
nize objects or scenarios specifi c to their environments. Unlike
conventional pre-programmed analytics, this capability enables a
hospital to track misplaced wheelchairs or count ambulances ar-
riving at the emergency bay.
Similarly, a logistics company might teach its cameras to identify
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