Click on the blue buttons to find out more!
What is DenseTrack?
Tracking Suspicious Individuals
Safety and Evacuation
How does DenseTrack work?
Leveraging Existing Infrastructure
Wi-Fi for Unique Identification
Video for Location
Combining Wi-Fi and Video
Addressing Wi-Fi Limitations
CAIVU Algorithm
Safety and Evacuation
If you need to evacuate certain areas, you can identify the whereabouts of people inside the building and lead them to safety.
Wi-Fi for Unique Identification
Wi-Fi MAC addresses are used as unique identifiers for devices. Even with MAC address randomisation, a connected MAC address persists long enough for tracking within a building.
Video for Location
Computer vision algorithms analyse video data to detect and locate people in each camera's view.
Leveraging Existing Infrastructure
DenseTrack uses Wi-Fi signals from existing enterprise network deployments and video from surveillance cameras.
Safety and Evacuation
If you need to evacuate certain areas, you can identify the whereabouts of people inside the building and lead them to safety.
Wi-Fi for Unique Identification
Wi-Fi MAC addresses are used as unique identifiers for devices. Even with MAC address randomisation, a connected MAC address persists long enough for tracking within a building.
Tracking Suspicious Individuals
If security gets a report that somebody on level one was showing suspicious behaviour, they can figure out where they are in the building immediately and don't have to send people everywhere and cause panic.
Tracking Suspicious Individuals
If security gets a report that somebody on level one was showing suspicious behaviour, they can figure out where they are in the building immediately and don't have to send people everywhere and cause panic.
Tracking Suspicious Individuals
If security gets a report that somebody on level one was showing suspicious behaviour, they can figure out where they are in the building immediately and don't have to send people everywhere and cause panic.
Wi-Fi for Unique Identification
Wi-Fi MAC addresses are used as unique identifiers for devices. Even with MAC address randomisation, a connected MAC address persists long enough for tracking within a building.
CAIVU Algorithm
The "inCremental Association of Independent Variables under Uncertainty" (CAIVU) algorithm is at the heart of DenseTrack. It's inspired by the multi-armed bandit model and is designed to handle the uncertainties and complexities of real-world environments.
Safety and Evacuation
If you need to evacuate certain areas, you can identify the whereabouts of people inside the building and lead them to safety.
Safety and Evacuation
If you need to evacuate certain areas, you can identify the whereabouts of people inside the building and lead them to safety.
Addressing Wi-Fi Limitations
Wi-Fi localisation is not accurate in dense environments due to interference and multipath effects. DenseTrack uses Wi-Fi as a coarse indicator of presence rather than relying on precise Wi-Fi-based location.
CAIVU Algorithm
The "inCremental Association of Independent Variables under Uncertainty" (CAIVU) algorithm is at the heart of DenseTrack. It's inspired by the multi-armed bandit model and is designed to handle the uncertainties and complexities of real-world environments.
Leveraging Existing Infrastructure
DenseTrack uses Wi-Fi signals from existing enterprise network deployments and video from surveillance cameras.
Leveraging Existing Infrastructure
DenseTrack uses Wi-Fi signals from existing enterprise network deployments and video from surveillance cameras.
Tracking Suspicious Individuals
If security gets a report that somebody on level one was showing suspicious behaviour, they can figure out where they are in the building immediately and don't have to send people everywhere and cause panic.
Safety and Evacuation
If you need to evacuate certain areas, you can identify the whereabouts of people inside the building and lead them to safety.
Combining Wi-Fi and Video
The core idea is to match Wi-Fi MAC addresses to the video blobs. This combines the unique identification capability of Wi-Fi with the location information from video.
Combining Wi-Fi and Video
The core idea is to match Wi-Fi MAC addresses to the video blobs. This combines the unique identification capability of Wi-Fi with the location information from video.
Combining Wi-Fi and Video
The core idea is to match Wi-Fi MAC addresses to the video blobs. This combines the unique identification capability of Wi-Fi with the location information from video.
Tracking Suspicious Individuals
If security gets a report that somebody on level one was showing suspicious behaviour, they can figure out where they are in the building immediately and don't have to send people everywhere and cause panic.
Safety and Evacuation
If you need to evacuate certain areas, you can identify the whereabouts of people inside the building and lead them to safety.
Wi-Fi for Unique Identification
Wi-Fi MAC addresses are used as unique identifiers for devices. Even with MAC address randomisation, a connected MAC address persists long enough for tracking within a building.
Safety and Evacuation
If you need to evacuate certain areas, you can identify the whereabouts of people inside the building and lead them to safety.
Safety and Evacuation
If you need to evacuate certain areas, you can identify the whereabouts of people inside the building and lead them to safety.
Wi-Fi for Unique Identification
Wi-Fi MAC addresses are used as unique identifiers for devices. Even with MAC address randomisation, a connected MAC address persists long enough for tracking within a building.
Addressing Wi-Fi Limitations
Wi-Fi localisation is not accurate in dense environments due to interference and multipath effects. DenseTrack uses Wi-Fi as a coarse indicator of presence rather than relying on precise Wi-Fi-based location.
Tracking Suspicious Individuals
If security gets a report that somebody on level one was showing suspicious behaviour, they can figure out where they are in the building immediately and don't have to send people everywhere and cause panic.
Addressing Wi-Fi Limitations
Wi-Fi localisation is not accurate in dense environments due to interference and multipath effects. DenseTrack uses Wi-Fi as a coarse indicator of presence rather than relying on precise Wi-Fi-based location.
Safety and Evacuation
If you need to evacuate certain areas, you can identify the whereabouts of people inside the building and lead them to safety.
Video for Location
Computer vision algorithms analyse video data to detect and locate people in each camera's view.
Combining Wi-Fi and Video
The core idea is to match Wi-Fi MAC addresses to the video blobs. This combines the unique identification capability of Wi-Fi with the location information from video.
CAIVU Algorithm
The "inCremental Association of Independent Variables under Uncertainty" (CAIVU) algorithm is at the heart of DenseTrack. It's inspired by the multi-armed bandit model and is designed to handle the uncertainties and complexities of real-world environments.
Leveraging Existing Infrastructure
DenseTrack uses Wi-Fi signals from existing enterprise network deployments and video from surveillance cameras.
Tracking Suspicious Individuals
If security gets a report that somebody on level one was showing suspicious behaviour, they can figure out where they are in the building immediately and don't have to send people everywhere and cause panic.
Addressing Wi-Fi Limitations
Wi-Fi localisation is not accurate in dense environments due to interference and multipath effects. DenseTrack uses Wi-Fi as a coarse indicator of presence rather than relying on precise Wi-Fi-based location.
Combining Wi-Fi and Video
The core idea is to match Wi-Fi MAC addresses to the video blobs. This combines the unique identification capability of Wi-Fi with the location information from video.
CAIVU Algorithm
The "inCremental Association of Independent Variables under Uncertainty" (CAIVU) algorithm is at the heart of DenseTrack. It's inspired by the multi-armed bandit model and is designed to handle the uncertainties and complexities of real-world environments.
Tracking Suspicious Individuals
If security gets a report that somebody on level one was showing suspicious behaviour, they can figure out where they are in the building immediately and don't have to send people everywhere and cause panic.
Tracking Suspicious Individuals
If security gets a report that somebody on level one was showing suspicious behaviour, they can figure out where they are in the building immediately and don't have to send people everywhere and cause panic.
Addressing Wi-Fi Limitations
Wi-Fi localisation is not accurate in dense environments due to interference and multipath effects. DenseTrack uses Wi-Fi as a coarse indicator of presence rather than relying on precise Wi-Fi-based location.
Safety and Evacuation
If you need to evacuate certain areas, you can identify the whereabouts of people inside the building and lead them to safety.
Leveraging Existing Infrastructure
DenseTrack uses Wi-Fi signals from existing enterprise network deployments and video from surveillance cameras.
Combining Wi-Fi and Video
The core idea is to match Wi-Fi MAC addresses to the video blobs. This combines the unique identification capability of Wi-Fi with the location information from video.
CAIVU Algorithm
The "inCremental Association of Independent Variables under Uncertainty" (CAIVU) algorithm is at the heart of DenseTrack. It's inspired by the multi-armed bandit model and is designed to handle the uncertainties and complexities of real-world environments.
Tracking Suspicious Individuals
If security gets a report that somebody on level one was showing suspicious behaviour, they can figure out where they are in the building immediately and don't have to send people everywhere and cause panic.
Safety and Evacuation
If you need to evacuate certain areas, you can identify the whereabouts of people inside the building and lead them to safety.
Leveraging Existing Infrastructure
DenseTrack uses Wi-Fi signals from existing enterprise network deployments and video from surveillance cameras.
Video for Location
Computer vision algorithms analyse video data to detect and locate people in each camera's view.
Safety and Evacuation
If you need to evacuate certain areas, you can identify the whereabouts of people inside the building and lead them to safety.
Tracking Suspicious Individuals
If security gets a report that somebody on level one was showing suspicious behaviour, they can figure out where they are in the building immediately and don't have to send people everywhere and cause panic.
Addressing Wi-Fi Limitations
Wi-Fi localisation is not accurate in dense environments due to interference and multipath effects. DenseTrack uses Wi-Fi as a coarse indicator of presence rather than relying on precise Wi-Fi-based location.
Video for Location
Computer vision algorithms analyse video data to detect and locate people in each camera's view.
Video for Location
Computer vision algorithms analyse video data to detect and locate people in each camera's view.
Video for Location
Computer vision algorithms analyse video data to detect and locate people in each camera's view.
Tracking Suspicious Individuals
If security gets a report that somebody on level one was showing suspicious behaviour, they can figure out where they are in the building immediately and don't have to send people everywhere and cause panic.
CAIVU Algorithm
The "inCremental Association of Independent Variables under Uncertainty" (CAIVU) algorithm is at the heart of DenseTrack. It's inspired by the multi-armed bandit model and is designed to handle the uncertainties and complexities of real-world environments.
Wi-Fi for Unique Identification
Wi-Fi MAC addresses are used as unique identifiers for devices. Even with MAC address randomisation, a connected MAC address persists long enough for tracking within a building.
How does DenseTrack work?
Joey TANG
Created on February 14, 2025
Start designing with a free template
Discover more than 1500 professional designs like these:
View
Project Roadmap Timeline
View
Step-by-Step Timeline: How to Develop an Idea
View
Artificial Intelligence History Timeline
View
Museum Escape Room
View
Momentum: Onboarding Presentation
View
Urban Illustrated Presentation
View
3D Corporate Reporting
Explore all templates
Transcript
Click on the blue buttons to find out more!
What is DenseTrack?
Tracking Suspicious Individuals
Safety and Evacuation
How does DenseTrack work?
Leveraging Existing Infrastructure
Wi-Fi for Unique Identification
Video for Location
Combining Wi-Fi and Video
Addressing Wi-Fi Limitations
CAIVU Algorithm
Safety and Evacuation
If you need to evacuate certain areas, you can identify the whereabouts of people inside the building and lead them to safety.
Wi-Fi for Unique Identification
Wi-Fi MAC addresses are used as unique identifiers for devices. Even with MAC address randomisation, a connected MAC address persists long enough for tracking within a building.
Video for Location
Computer vision algorithms analyse video data to detect and locate people in each camera's view.
Leveraging Existing Infrastructure
DenseTrack uses Wi-Fi signals from existing enterprise network deployments and video from surveillance cameras.
Safety and Evacuation
If you need to evacuate certain areas, you can identify the whereabouts of people inside the building and lead them to safety.
Wi-Fi for Unique Identification
Wi-Fi MAC addresses are used as unique identifiers for devices. Even with MAC address randomisation, a connected MAC address persists long enough for tracking within a building.
Tracking Suspicious Individuals
If security gets a report that somebody on level one was showing suspicious behaviour, they can figure out where they are in the building immediately and don't have to send people everywhere and cause panic.
Tracking Suspicious Individuals
If security gets a report that somebody on level one was showing suspicious behaviour, they can figure out where they are in the building immediately and don't have to send people everywhere and cause panic.
Tracking Suspicious Individuals
If security gets a report that somebody on level one was showing suspicious behaviour, they can figure out where they are in the building immediately and don't have to send people everywhere and cause panic.
Wi-Fi for Unique Identification
Wi-Fi MAC addresses are used as unique identifiers for devices. Even with MAC address randomisation, a connected MAC address persists long enough for tracking within a building.
CAIVU Algorithm
The "inCremental Association of Independent Variables under Uncertainty" (CAIVU) algorithm is at the heart of DenseTrack. It's inspired by the multi-armed bandit model and is designed to handle the uncertainties and complexities of real-world environments.
Safety and Evacuation
If you need to evacuate certain areas, you can identify the whereabouts of people inside the building and lead them to safety.
Safety and Evacuation
If you need to evacuate certain areas, you can identify the whereabouts of people inside the building and lead them to safety.
Addressing Wi-Fi Limitations
Wi-Fi localisation is not accurate in dense environments due to interference and multipath effects. DenseTrack uses Wi-Fi as a coarse indicator of presence rather than relying on precise Wi-Fi-based location.
CAIVU Algorithm
The "inCremental Association of Independent Variables under Uncertainty" (CAIVU) algorithm is at the heart of DenseTrack. It's inspired by the multi-armed bandit model and is designed to handle the uncertainties and complexities of real-world environments.
Leveraging Existing Infrastructure
DenseTrack uses Wi-Fi signals from existing enterprise network deployments and video from surveillance cameras.
Leveraging Existing Infrastructure
DenseTrack uses Wi-Fi signals from existing enterprise network deployments and video from surveillance cameras.
Tracking Suspicious Individuals
If security gets a report that somebody on level one was showing suspicious behaviour, they can figure out where they are in the building immediately and don't have to send people everywhere and cause panic.
Safety and Evacuation
If you need to evacuate certain areas, you can identify the whereabouts of people inside the building and lead them to safety.
Combining Wi-Fi and Video
The core idea is to match Wi-Fi MAC addresses to the video blobs. This combines the unique identification capability of Wi-Fi with the location information from video.
Combining Wi-Fi and Video
The core idea is to match Wi-Fi MAC addresses to the video blobs. This combines the unique identification capability of Wi-Fi with the location information from video.
Combining Wi-Fi and Video
The core idea is to match Wi-Fi MAC addresses to the video blobs. This combines the unique identification capability of Wi-Fi with the location information from video.
Tracking Suspicious Individuals
If security gets a report that somebody on level one was showing suspicious behaviour, they can figure out where they are in the building immediately and don't have to send people everywhere and cause panic.
Safety and Evacuation
If you need to evacuate certain areas, you can identify the whereabouts of people inside the building and lead them to safety.
Wi-Fi for Unique Identification
Wi-Fi MAC addresses are used as unique identifiers for devices. Even with MAC address randomisation, a connected MAC address persists long enough for tracking within a building.
Safety and Evacuation
If you need to evacuate certain areas, you can identify the whereabouts of people inside the building and lead them to safety.
Safety and Evacuation
If you need to evacuate certain areas, you can identify the whereabouts of people inside the building and lead them to safety.
Wi-Fi for Unique Identification
Wi-Fi MAC addresses are used as unique identifiers for devices. Even with MAC address randomisation, a connected MAC address persists long enough for tracking within a building.
Addressing Wi-Fi Limitations
Wi-Fi localisation is not accurate in dense environments due to interference and multipath effects. DenseTrack uses Wi-Fi as a coarse indicator of presence rather than relying on precise Wi-Fi-based location.
Tracking Suspicious Individuals
If security gets a report that somebody on level one was showing suspicious behaviour, they can figure out where they are in the building immediately and don't have to send people everywhere and cause panic.
Addressing Wi-Fi Limitations
Wi-Fi localisation is not accurate in dense environments due to interference and multipath effects. DenseTrack uses Wi-Fi as a coarse indicator of presence rather than relying on precise Wi-Fi-based location.
Safety and Evacuation
If you need to evacuate certain areas, you can identify the whereabouts of people inside the building and lead them to safety.
Video for Location
Computer vision algorithms analyse video data to detect and locate people in each camera's view.
Combining Wi-Fi and Video
The core idea is to match Wi-Fi MAC addresses to the video blobs. This combines the unique identification capability of Wi-Fi with the location information from video.
CAIVU Algorithm
The "inCremental Association of Independent Variables under Uncertainty" (CAIVU) algorithm is at the heart of DenseTrack. It's inspired by the multi-armed bandit model and is designed to handle the uncertainties and complexities of real-world environments.
Leveraging Existing Infrastructure
DenseTrack uses Wi-Fi signals from existing enterprise network deployments and video from surveillance cameras.
Tracking Suspicious Individuals
If security gets a report that somebody on level one was showing suspicious behaviour, they can figure out where they are in the building immediately and don't have to send people everywhere and cause panic.
Addressing Wi-Fi Limitations
Wi-Fi localisation is not accurate in dense environments due to interference and multipath effects. DenseTrack uses Wi-Fi as a coarse indicator of presence rather than relying on precise Wi-Fi-based location.
Combining Wi-Fi and Video
The core idea is to match Wi-Fi MAC addresses to the video blobs. This combines the unique identification capability of Wi-Fi with the location information from video.
CAIVU Algorithm
The "inCremental Association of Independent Variables under Uncertainty" (CAIVU) algorithm is at the heart of DenseTrack. It's inspired by the multi-armed bandit model and is designed to handle the uncertainties and complexities of real-world environments.
Tracking Suspicious Individuals
If security gets a report that somebody on level one was showing suspicious behaviour, they can figure out where they are in the building immediately and don't have to send people everywhere and cause panic.
Tracking Suspicious Individuals
If security gets a report that somebody on level one was showing suspicious behaviour, they can figure out where they are in the building immediately and don't have to send people everywhere and cause panic.
Addressing Wi-Fi Limitations
Wi-Fi localisation is not accurate in dense environments due to interference and multipath effects. DenseTrack uses Wi-Fi as a coarse indicator of presence rather than relying on precise Wi-Fi-based location.
Safety and Evacuation
If you need to evacuate certain areas, you can identify the whereabouts of people inside the building and lead them to safety.
Leveraging Existing Infrastructure
DenseTrack uses Wi-Fi signals from existing enterprise network deployments and video from surveillance cameras.
Combining Wi-Fi and Video
The core idea is to match Wi-Fi MAC addresses to the video blobs. This combines the unique identification capability of Wi-Fi with the location information from video.
CAIVU Algorithm
The "inCremental Association of Independent Variables under Uncertainty" (CAIVU) algorithm is at the heart of DenseTrack. It's inspired by the multi-armed bandit model and is designed to handle the uncertainties and complexities of real-world environments.
Tracking Suspicious Individuals
If security gets a report that somebody on level one was showing suspicious behaviour, they can figure out where they are in the building immediately and don't have to send people everywhere and cause panic.
Safety and Evacuation
If you need to evacuate certain areas, you can identify the whereabouts of people inside the building and lead them to safety.
Leveraging Existing Infrastructure
DenseTrack uses Wi-Fi signals from existing enterprise network deployments and video from surveillance cameras.
Video for Location
Computer vision algorithms analyse video data to detect and locate people in each camera's view.
Safety and Evacuation
If you need to evacuate certain areas, you can identify the whereabouts of people inside the building and lead them to safety.
Tracking Suspicious Individuals
If security gets a report that somebody on level one was showing suspicious behaviour, they can figure out where they are in the building immediately and don't have to send people everywhere and cause panic.
Addressing Wi-Fi Limitations
Wi-Fi localisation is not accurate in dense environments due to interference and multipath effects. DenseTrack uses Wi-Fi as a coarse indicator of presence rather than relying on precise Wi-Fi-based location.
Video for Location
Computer vision algorithms analyse video data to detect and locate people in each camera's view.
Video for Location
Computer vision algorithms analyse video data to detect and locate people in each camera's view.
Video for Location
Computer vision algorithms analyse video data to detect and locate people in each camera's view.
Tracking Suspicious Individuals
If security gets a report that somebody on level one was showing suspicious behaviour, they can figure out where they are in the building immediately and don't have to send people everywhere and cause panic.
CAIVU Algorithm
The "inCremental Association of Independent Variables under Uncertainty" (CAIVU) algorithm is at the heart of DenseTrack. It's inspired by the multi-armed bandit model and is designed to handle the uncertainties and complexities of real-world environments.
Wi-Fi for Unique Identification
Wi-Fi MAC addresses are used as unique identifiers for devices. Even with MAC address randomisation, a connected MAC address persists long enough for tracking within a building.