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Overvakning

Overvakning refers to the systematic observation and collection of information about people, objects, or events to monitor, manage, or secure them. It encompasses both physical surveillance—such as cameras, guards, and access controls—and digital surveillance, including data collection from online activities, communication metadata, location data, and analytics.

Types of overvakning include public-space surveillance that uses CCTV and crowd-monitoring to deter crime or assess

Technologies commonly involved are video cameras, facial recognition, license plate recognition, sensors, drones, biometric systems, network

Legal and ethical considerations are central to debates about overvakning. Many systems are governed by privacy

Impact and debates center on security and efficiency versus civil liberties and personal autonomy. Proponents point

Historical context includes ideas from the Panopticon to modern mass surveillance, with significant expansion in the

conditions;
workplace
surveillance
that
tracks
productivity,
safety,
and
compliance;
national
security
or
intelligence
surveillance
aimed
at
preventing
threats;
and
commercial
surveillance
that
relies
on
data
analytics
and
behavioral
profiling
for
marketing
and
service
optimization.
monitoring,
and
mobile
data
collection.
AI-driven
analytics,
data
fusion,
and
cloud
storage
enable
larger-scale
processing
and
cross-system
insights.
laws
that
require
proportionality,
necessity,
consent
where
applicable,
and
transparency.
Oversight
mechanisms,
impact
assessments,
data
minimization,
and
data
retention
limits
are
often
required.
Ethical
concerns
include
bias
in
algorithms,
potential
discrimination,
power
imbalances,
consent
challenges,
and
the
chilling
effect—self-censorship
due
to
pervasive
monitoring.
to
crime
reduction,
faster
incident
response,
and
improved
public
services;
critics
warn
of
privacy
erosion,
surveillance
capitalism,
and
the
risk
of
abuse
or
overreach.
Effectiveness
depends
on
governance,
accountability,
safeguards
against
abuse,
and
robust
data
protection
measures.
digital
era
through
cross-border
data
sharing
and
advanced
analytics.