Automated Response in Complex | Artificial Intelligence Situations - iOmniscient
Summary
TLDRIan's video analytics system excels in complex environments, identifying and tracking a dropped bag obscured by crowds. The technology can rewind to the bag's introduction, capture the culprit's face, and add it to a watch list. It then shares this information across networked cameras, enabling real-time tracking and alerting nearby officers via smartphone. The innovative process, from object detection to automated response, is patented, showcasing advanced capabilities in uncontrolled settings.
Takeaways
- 📹 Ian's specialty is in providing video analytics for complex scenes.
- 👜 The system can detect and track objects, even when they are obscured by people or other objects.
- 🔍 The system has the capability to 'jump to a vent,' which allows it to trace back to the moment an object was first introduced into the scene.
- 👤 It can identify and enroll faces into a watch list, regardless of how crowded or uncontrolled the environment is.
- 📡 The face recognition feature can be used to search for individuals across various cameras within a network.
- 👮♂️ The system can locate the nearest police officer and send information about a person of interest to their smartphone.
- 🤔 The police can request additional information about the person's identity or actions through the system.
- 🔗 The system can send a 'jump to event' video, providing context or evidence of the person's actions.
- 🚔 The process of automated response, from detection to police notification, is patented by Ian.
- 🏆 Ian's technology is recognized for its innovative approach to video analytics in crowded and dynamic environments.
- 🛡️ The entire process, from detecting an object to identifying and tracking individuals, is protected by patents.
Q & A
What is Ian's specialty in video analytics?
-Ian's specialty is providing multiple video analytics in complex scenes, especially where objects are significantly obscured.
How does the system identify a dropped bag in a crowded scene?
-The system is capable of finding a bag even when it is obscured by people walking in front of it and hardly visible.
What is the 'jump to vent' feature used for?
-The 'jump to vent' feature allows the system to go back to the moment when the bag was first brought into the scene, regardless of how long ago it was.
Can the system identify who left the bag even if the person's face is not visible?
-Yes, the system can identify the person who left the bag by pulling out his face and enrolling him in the watch list.
How is the person's face transmitted to other cameras within the network?
-The face is transmitted to all other cameras within the network, allowing for a search across various cameras for the person.
What additional information can be pulled out about the person when they are seen again?
-When the person is seen again, the system can pull out whatever additional information it has about the person.
How does the system track the person across different cameras?
-The system tracks the person on different cameras where he has been seen, using the information it has on him.
What happens when the person is tracked to the last camera shown in red?
-The system finds the nearest policeman and sends the information to him on his smartphone.
How does the system assist the policeman in identifying the person?
-The system can send the policeman as much information as it has on the person, including a 'jump to event' video.
What is the significance of the entire process being patented?
-The patent ensures that the ability to find a bag in a crowded scene, the 'jump to event' feature, face recognition in an uncontrolled environment, and the automated response process are protected and unique to Ian.
What is the role of the smartphone in the process described in the script?
-The smartphone is used by the nearest policeman to receive information about the person of interest and to view the 'jump to event' video.
Outlines
👀 Advanced Video Analytics for Security
The script introduces Ian's specialty in advanced video analytics, showcasing its ability to detect and track objects, such as a dropped bag, even in complex and crowded scenes. The system can identify the person who left the bag, despite it being obscured, and has the capability to 'jump' back to the moment the bag was first seen. It can also enroll the person's face into a watch list and transmit this information across a network of cameras. The technology includes face recognition in uncontrolled environments and the ability to track individuals across different cameras, ultimately alerting the nearest police officer via smartphone with the suspect's information and the event video. The entire automated response process is patented by ient.
Mindmap
Keywords
💡Video Analytics
💡Object Obscured
💡Jump to Event
💡Watch List
💡Face Recognition
💡Camera Network
💡Tracking
💡Nearest Policeman
💡Smartphone
💡Automated Response
💡Patented
Highlights
Ian's specialty in providing multiple video analytics in complex scenes.
System's ability to detect a dropped and abandoned bag even when obscured by people.
Capability to handle situations with significantly obscured objects.
Jump to vent feature to trace back the moment an object was introduced.
System's capacity to identify who left the bag regardless of the time elapsed.
Face enrollment in the watch list for further tracking.
Transmission of the person's face to other cameras within the network.
Search for the person across various cameras in the network.
Extraction of additional information about the person from different camera views.
Tracking the person across different cameras to monitor his movements.
Identification of the last camera where the person was seen, marked in red.
Finding the nearest policeman and sending the person's information to his smartphone.
Ability to provide detailed information about the person to the police.
Sending the 'jump to event' video to explain the person's actions.
The entire automated response process is patented.
Patented technology includes finding obscured objects, jump to event, face recognition, and automated response.
The system operates in uncontrolled environments with high accuracy.
Transcripts
[Music]
Ian speciality is the ability to provide
multiple video analytics in very complex
scenes as you can see a person has
dropped a bag he has abandoned it and he
is walking away the bag is being
obscured by people walking in front of
it and it is hardly
visible the system has found the bag
this is our speciality we can cope with
situations where the object is
significantly obscured we now do the
jump to a vent which takes you back to
the moment that the bag was first
brought into the scene it doesn't matter
how long back that was the system can
see who left the bag it can pull out his
face and enroll him in the watch list
this face can then be transmitted to all
the other cameras within the network at
this stage we don't know who that person
was but we do have an image of him and
we can search for him across the various
cameras in the network now in this view
we have seen the person again and we can
pull out whatever additional information
we have about the
person the next step is to track him we
can track him on different cameras where
we have seen him and we know that he is
finally now at that last camera shown in
red from that point we can find the
nearest policeman and the system sends
the information to him on his
smartphone he will ask who this person
is and we can send him as much
information as we have on him
he will ask what he has done and we can
send him the jump to event
video the entire process is patented the
ability to find a bag in a crowded scene
even where the bag is obscured the
ability to do the jump to event and to
see who left the bag there the ability
to do face recognition in a crowded
scene in a totally uncontrolled
environment the ability to find the
nearest policeman and in fact this
entire process of automated response is
patented by
ient
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