d e t e k t o r i n t e r n a t i o n a l · 2 5
Terrorism and cross-border intrusions propel the perimeter security market
Editor: Lennart Alexandrie
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Mix of technologies
Perimeter security is often
described as a multi-layered
system much like the layers of
an onion. Each layer may require
different technical solutions,
and the need for comprehensive,
multi-tier perimeter protection
has grown significantly. There is
no single solution that fits all ap-
plications. In many cases, effec-
tive perimeter security combines
high-quality sensors that deliver
reliable data with video surveil-
lance systems that can verify and
confirm events.
Laser, lidar, thermal sensors,
fence-mounted sensors, infrared
sensors, integrated fibre-optic
perimeter intrusion detection
systems, and perimeter fence
detection systems can be used
to detect people or objects
approaching or breaching the
perimeter. Cameras with video
analytics can generate informa-
tion about an object's location,
speed, and trajectory; moving
targets can be classified as, for
example, a person, car, or truck,
and used to visually verify
what other technologies have
detected.
More effective detection
with AI
The integration of AI and
machine-learning technologies
is enhancing market potential,
making security systems more
adaptable and effective in threat
detection and response. AI and
machine learning also enable
systems to differentiate between
genuine threats and false alarms
with greater accuracy. As a result,
response times are faster, and
overall security is more robust.
Anti-drone systems
With the introduction of drones,
perimeter protection has become
three-dimensional threats can
now also come from the air. This
issue has become even more rel-
evant during the war in Ukraine,
and in recent months, countries
such as Poland, Denmark, and
Norway have reported problems
with unidentified drones flying
over airports and other critical
infrastructure.
The global anti-drone market
is growing rapidly, with an expect-
ed CAGR of 26.5 per cent from
2025 to 2030, primarily driven by
escalating security concerns over
the unauthorised and potentially
malicious use of drones across
military, critical infrastructure,
and public spaces.
AI and machine learning also enable
systems to differentiate between
genuine threats and false alarms with
greater accuracy".