FAQs

Avigilon Alta Video Smart Presence™ is an innovative feature of the Avigilon Alta Video video management system that leverages AI-powered analytics to provide real-time situational awareness across monitored sites. Integrating with uploaded site maps and utilising advanced object tracking, Smart Presence offers a comprehensive view of people and vehicle movements, enhancing security operations and operational efficiency.

Real-Time Tracking and Mapping

Smart Presence lets users upload floor plans or site maps into the Alta Video system, the foundation for displaying real-time location and movement data. The system’s AI-powered analytics distinguish between different types of objects, such as people and vehicles, and accurately map their movements across the monitored areas. This comprehensive tracking provides security teams with an immediate overview of activity within the site, allowing for quick identification of potential security threats or anomalies. The feature’s ability to process and analyse video feeds in real-time ensures that operators can always access the most up-to-date information, empowering them to make informed decisions and respond promptly to emerging situations.

Enhanced Situational Awareness

Smart Presence enhances situational awareness by generating real-time alerts and notifications based on predefined rules, enabling security teams to respond promptly to potential security events or anomalies. Users can customise video views to focus on specific areas or cameras, allowing for more effective monitoring of critical zones. This feature significantly improves the ability to detect and respond to unusual activities, providing a proactive approach to security management.

Integration and Scalability

Alta Video integrates with existing cameras, sensors, and access control systems, providing a unified view of the monitored site. This cloud-native platform offers scalable and secure video management, supporting remote access, automatic updates, and encrypted data transmission. The system’s open API standards allow limitless integration with other business tools, enabling users to create a customised cloud security ecosystem. This flexibility ensures that organisations can easily upgrade and expand their security infrastructure while maintaining compatibility with physical on-premise and logical software systems.

Operational Insights

Leveraging advanced AI analytics, Smart Presence provides valuable operational insights by analysing traffic flows and identifying high-traffic areas within monitored spaces. This data can optimise operations in various environments, including retail, public venues, and other facilities. The system also includes occupancy management features, enabling accurate counting of people and vehicles to help organisations manage space usage effectively and comply with capacity regulations. These insights not only enhance security but also contribute to improved business operations, resource allocation, and customer experience.

Avigilon Unusual Motion Detection (UMD) is an advanced AI technology designed to enhance security by identifying and flagging atypical motion events within a camera’s field of view. Unlike traditional motion detection systems, UMD does not require predefined rules or setup. Instead, it continuously learns what typical activity looks like in a scene and then detects and flags motions that deviate from this norm.

Key Features of Avigilon Unusual Motion Detection

Continuous Learning:
UMD continuously analyzes motion-based activity to establish a model of typical behavior in a scene. Over time, it learns what constitutes normal motion and can then identify and flag unusual movements that deviate from this learned model.

Automation and Efficiency:
By automating the detection of unusual motion, UMD helps security operators filter through large amounts of recorded video more efficiently. This reduces the time required to review footage, allowing operators to focus on events that may need further investigation.

Focus of Attention Interface:
UMD leverages the Focus of Attention (FOA) interface in the Avigilon Control Center (ACC) software. This interface visually highlights atypical events, ensuring that critical incidents do not go unnoticed.

Embedded on H5 Platform Cameras:
UMD technology is embedded in Avigilon’s H5A and H5SL camera lines, making it accessible on both high-end and entry-level cameras. This integration provides powerful AI capabilities across a range of camera models.

Faster Search Capabilities:
The technology enables faster search through recorded video by flagging unusual events, which helps reduce hours of work to minutes. This feature is particularly useful for quickly identifying and responding to potential security threats.

Comparison with Unusual Activity Detection (UAD):
While UMD focuses on detecting anomalies in general motion within a scene, Unusual Activity Detection (UAD) is object-aware and detects atypical behaviors of specific classified objects, such as people and vehicles. UMD is suitable for environments where motion patterns are generally consistent and predictable, whereas UAD is more targeted towards monitoring the behavior of distinct objects.

Avigilon Unusual Activity Detection (UAD) is an advanced AI technology designed to enhance security by identifying and flagging atypical behaviors of specific classified objects, such as people and vehicles. This technology is embedded in Avigilon’s H5A camera line and leverages edge-based intelligence to detect unusual activities based on the type of object and its expected behavior patterns.

Key Features of Avigilon Unusual Activity Detection

Object-Aware Detection:

UAD is capable of recognizing unusual activities by analyzing the behavior of specific objects like people and vehicles. For instance, it can detect if a vehicle is traveling at an unusually high speed or if a person is in an unexpected location.

Advanced AI Technology:

The system uses advanced AI to continuously learn and adapt to the camera’s field of view, ensuring that it can identify and flag unusual behaviors effectively. This learning process allows the system to improve its accuracy over time.

Focus of Attention Interface:

UAD utilizes the Focus of Attention (FOA) interface, which visually highlights unanticipated activities, providing operators with an overview of anomalous events. This helps in quickly verifying and determining the appropriate response to flagged events.

Filtered Recorded Timeline Search:

The technology enables operators to quickly review large amounts of video by filtering the timeline to highlight periods where UAD events have occurred. This significantly reduces the time required to sift through recorded footage.

Integration with Avigilon Control Center (ACC):

UAD is integrated with the Avigilon Control Center (ACC) software, which supports features like timeline search, event search, and rule triggers. This integration enhances the overall effectiveness of the security system.

Comparison with Unusual Motion Detection (UMD):

While UAD focuses on the behavior of specific objects, Unusual Motion Detection (UMD) is designed to detect anomalies in motion within a scene without predefined rules. UMD continuously learns what typical activity looks like and flags deviations from this norm. Both technologies serve different purposes and are suited for different security needs.

Avigilon Appearance Search is an advanced video analytics technology designed to enhance situational awareness and streamline the process of locating persons or vehicles of interest within video footage. This technology leverages deep learning and artificial intelligence to provide efficient and accurate search capabilities, significantly reducing the time required to review video footage.

By Description: Users can input physical descriptions of persons or vehicles, such as gender, clothing color, and vehicle type, to initiate a search. The system ranks results that match all descriptions higher, but it is advised to avoid using color as a criterion for night scenes due to potential inaccuracies.

By Uploaded Photo: Users can upload a photo of a person or vehicle to search for instances in the video footage. The system supports various image formats and automatically crops the photo for the search.

From Recorded Video: Users can start a search based on an instance in recorded video by selecting a bounding box around the person or vehicle of interest. This can be used to find appearances before or after a specific event.

From Face Watch List Profile: Searches can be initiated from a Face Watch List profile, allowing operators to search for individuals registered in the system.

The results are displayed with the person or vehicle of interest highlighted by a white bounding box. Users can refine the results by adjusting the date range, changing cameras, or updating search criteria. Only the first 15 minutes of search results are displayed initially, but users can navigate through the Search Results Graph window to view more results.

Users can refine search results by starring relevant images, which improves the system’s accuracy. Results can be bookmarked or exported for further use. Export options include native video formats with password protection and identity data, or AVI formats with background blurring to obscure everything except the detected person or vehicle.

The technology is integrated into the Avigilon Control Center (ACC) software and requires compatible hardware such as network video recorders (NVRs) with graphics processing units or AI appliances. Optimal performance is achieved when cameras capture full-body and face images with specific pixel densities.

Avigilon Appearance Search is used to improve incident response times and enhance forensic investigations by quickly locating specific individuals or vehicles, compiling robust video evidence, and creating a narrative of events.

The Avigilon Control Center (ACC) is a sophisticated video management system (VMS) designed to optimise how security professionals manage and interact with high-definition video. It is part of Avigilon’s comprehensive security suite, which includes end-to-end video surveillance and access control solutions.

Key Features

• Avigilon Appearance Search Technology: This AI-powered search engine lets investigators quickly locate a person or vehicle of interest by sorting through hours of recorded video using physical descriptions, photos, or examples from recorded footage.
• Self-Learning Video Analytics: ACC software includes advanced video analytics that detects and notifies operators of real-time scene changes and rule violations.
• Facial Recognition: The software includes AI-powered facial recognition technology to detect people of interest based on secure watch lists managed by authorised users. This feature accelerates response times by identifying individuals from uploaded images or recorded videos.
• High Definition Stream Management (HDSM): ACC uses patented HDSM technology to efficiently capture and store high-definition video while intelligently managing bandwidth and storage.
• Editions and Scalability: ACC is available in three editions: Core, Standard, and Enterprise. Each edition is tailored to different scales of operations, from small implementations to large-scale video security needs. The Enterprise edition includes all features of the Core and Standard editions, plus additional advanced features for large-scale deployments.
• Device and Integration Support: The software supports a wide range of Avigilon cameras and third-party IP cameras and encoders. It is ONVIF compliant and integrates with various sensors and devices to enhance the capabilities of physical security investments.

Call us on 1300 556 334 or email [email protected] to learn more.

Customers in New Zealand call 0800 345 677 or email [email protected].

Avigilon’s AI-powered video analytics feature two distinct technologies: Unusual Motion Detection (UMD) and Unusual Activity Detection (UAD). Both technologies are designed to enhance security by identifying and flagging atypical events, but they operate based on different principles and are suited for different purposes.

Unusual Motion Detection (UMD)

UMD is focused on detecting anomalies in motion within a scene. This technology does not require any predefined rules or setup. Instead, it continuously learns what typical activity in a scene looks like over time. Once it has established what is considered normal for that specific scene, it can detect and flag motions deviating from this norm. UMD is particularly useful for identifying unexpected movements in areas where motion patterns are generally consistent and predictable. It is embedded in various Avigilon camera lines such as the H4A, H4 Mini Dome, and H4SL, making it accessible on budget-friendly, entry-level cameras.

Unusual Activity Detection (UAD)

In contrast, UAD is an object-aware technology that detects atypical behaviours of specific classified objects such as people and vehicles. This means UAD can identify unusual activities based on the type of object and its expected behaviour patterns. For example, it can highlight incidents where a vehicle travels at an unusually high speed or when someone is in an unexpected location. UAD is embedded in the Avigilon H5A camera line, offering high-powered AI capabilities on Avigilon’s flagship cameras. This makes UAD suitable for environments where the behaviour of distinct objects needs to be closely monitored.

In summary, while UMD focuses on general motion anomalies within a scene, UAD provides a more targeted approach by recognising unusual behaviours of specific objects, making each technology valuable for different security needs and scenarios.

Call us on 1300 556 334 or email [email protected] to learn more.

Customers in New Zealand call 0800 345 677 or email [email protected].