The document discusses a solution for measuring social distancing compliance using people counting and 3D modeling technologies, particularly in crowded areas like supermarkets and public transport stations. It highlights the ability to customize distance measurements and alarms in accordance with regulations, offering alerts ranging from audio reminders to sirens for security intervention. Additionally, it mentions features like facial recognition and people counting capabilities to enhance monitoring effectiveness.

2. OVERVIEW
Social distance is a hot topic in current discussions. In areas where crowds are unavoidable, such as
cash registers in the supermarket and the ticket kiosk at public transportation stations, how to measure
social distancing compliance is critical. Authorities in various locations have established specific
guidelines and legislation in this area, balancing needs and risks for citizens.
This solution uses people counting and 3D modeling technologies to measure the distance between
people accurately. The distance measurement can be adjusted, according to scenario, or changing
Government regulations, for example.
The output can be connected to various kinds of alarm, such as a siren or speaker, making it possible to
tailor the message to the scenario. For example, an audio message saying “Please remember to keep
more than 1.5m apart” could be used. Alternatively, in more extreme circumstances a siren could sound,
alerting a security guard to intervene.

3. DS-2CD6825G0/C-IS iDS-2CD7146G0-IZS DS-2272ZJ-KL
iDS-9616NXI-I8/X(B) iDS-9632NXI-I8/X(B) DS-9632NI-I8
• The people distance threshold and
duration of the people contact time can
be defined.
• Whenever the distance and duration
threshold has been exceeded, an alarm
will be triggered.
• Specialized people counting camera that
supports the separate counting of people
entering, exiting, and passing by a given
area.
• Face recognition; Hard Hat;
Face Counting; Queue
management; Multi-target-type
detection
• People Counting Bracket
• Supports both facial recognition
and false alarm reduction based on
deep learning algorithm.
• Supports both facial recognition
and false alarm reduction based
on deep learning algorithm.
• 32-Channel Professional
Embedded NVR.