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Bosch Security and Safety Systems I North America
Video Systems

Crowd Detection

Detect and monitor crowds and groups with AI and Video Analytics

Aerial view of the interior of a large building, showing people walking, sitting, and using escalators.

Crowd Monitoring for Public Safety

How many people does it take to form a crowd? A crowd is, by definition, a temporary gathering of a large number of people in close proximity to each other. No matter the answer, upholding public safety is challenging even before a dense crowd forms. When many individuals gather in buildings or public areas, such as at public events, in shopping malls, or during peak hours on public transport, monitoring the situation becomes even more difficult. If an area is estimated to reach its maximum capacity, it is time to take preventive action to ensure public safety.

Crowd of people walking through a tunnel at a transport hub.

Crowd Analysis Using Video Analytics

Dense crowds at an event in a building.

Our video surveillance cameras come equipped with built-in Video Analytics software. This means that both our new and existing cameras undergo extensive training using machine learning algorithms to accurately detect objects and humans. Leveraging this advanced technology, our security cameras are capable of precisely detecting, tracking, and counting a large number of persons in a certain area.

As data is documented, our Video Analytics also offer insights into valuable statistics, such as the average number of people in specific areas at certain times. This not only aids in security but also provides information that can lead to optimization of public spaces and infrastructure, such as planning crowd flow during events or adjusting public transportation schedules during peak hours.

Automatic Alerts for Critical Occupancy Levels

When monitoring crowd behavior to assess occupancy levels within defined areas, factors like density and movement play a crucial role. Automatic people counting enables accurate crowd estimation, making the surveillance system aware of when a capacity threshold is about to be exceeded. Using artificial intelligence (AI), the system can then automatically alert security operators in real time when critical levels are nearing, allowing them to take action to prevent further implications such as overcrowding and panic outbreaks.

Alerts (alarms) and tasks are effortlessly managed in a resilient video management system, such as BVMS, which also offers additional benefits like implemented forensic search and monitoring cameras across multiple sites.

A security operator with a headset and microphone monitoring screens in a surveillance room.

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