Automated Response in Complex | Artificial Intelligence Situations - iOmniscient

Summary

Ian'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.