ACTi Counting Cameras use deep learning AI to automatically count people directly from surveillance video. By analyzing visual information within the camera view, the cameras transform live video into valuable counting data that can support security management, operational planning and business analysis.

Two primary counting methods provide flexibility for different applications. Area Counting determines how many people are present within the camera view at a given moment, making it suitable for applications such as crowd detection. Accumulated Flow Counting tracks people entering and leaving an area or crossing a virtual line over time, providing valuable information about visitor flows.

Counting data can be delivered as metadata alongside the video stream or displayed directly on the video as an embedded counting value. Metadata can be stored and used to generate reports covering different time periods, providing valuable insights into flow patterns and occupancy trends. Embedded counting values provide operators with an immediate visual assessment and can be viewed without requiring specialized integration between the camera and management system.

ACTi Counting Cameras can also provide proactive occupancy management through configurable counting thresholds. When the number of people or vehicles reaches a predefined level, the camera can generate an event to notify the video management system. From detecting crowded areas to monitoring building occupancy, ACTi Counting Cameras turn surveillance infrastructure into a powerful tool for both security and operational intelligence.

• AI-Powered People Counting – Deep learning AI uses visual indicators to automatically count people within the surveillance scene.
• Area Counting – Determine the number of people appearing within the camera view at a given moment.
• Accumulated Flow Counting – Count people entering, leaving or crossing a virtual line over a period of time.
• Bidirectional Counting – Monitor incoming and outgoing flow of people separately to analyze movement and calculate current occupancy.
• Occupancy Monitoring – Determine the number of people currently within a monitored location based on incoming and outgoing counts.
• Counting Alarms by Thresholds – Generate events when predefined occupancy or counting thresholds are reached for proactive security and site management.
• Crowd Detection – Detect excessive numbers of people to support crowd management and other high-occupancy applications.
• Counting Metadata Transmission – Transmit text-based counting information alongside video for storage, integration and reporting.
• Embedded Counting Values – Display live counting results directly on the video stream for immediate visual assessment.
• Push and Pull Metadata – Support flexible methods of exchanging counting metadata with compatible management systems and applications.
• Single-Camera Counting – Perform counting and occupancy applications using an individual camera for entrances and defined monitoring areas.
• Multi-Camera Counting – Combine counting information from multiple cameras to monitor locations with several entrances or larger areas.
• Business and Operational Analysis – Use historical counting data to understand visitor and vehicle traffic patterns and support operational decision-making.
• Security and Site Management – Apply counting analytics to crowd prevention, occupancy control and other applications requiring automatic threshold alerts.
• No AI License Required – Camera-based counting analytics can be used with compatible ACTi management solutions without an additional AI analytics license.