Intel corporation (20240106805). ON-PREMISES AUGMENTED AND VIRTUAL REALITY PROCESSING AND PRIVACY PRESERVING INFRASTRUCTURE simplified abstract
Contents
- 1 ON-PREMISES AUGMENTED AND VIRTUAL REALITY PROCESSING AND PRIVACY PRESERVING INFRASTRUCTURE
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 ON-PREMISES AUGMENTED AND VIRTUAL REALITY PROCESSING AND PRIVACY PRESERVING INFRASTRUCTURE - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
ON-PREMISES AUGMENTED AND VIRTUAL REALITY PROCESSING AND PRIVACY PRESERVING INFRASTRUCTURE
Organization Name
Inventor(s)
ERNESTO ZAMORA Ramos of Folsom CA (US)
JEREMY Bottleson of North Plains OR (US)
ON-PREMISES AUGMENTED AND VIRTUAL REALITY PROCESSING AND PRIVACY PRESERVING INFRASTRUCTURE - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240106805 titled 'ON-PREMISES AUGMENTED AND VIRTUAL REALITY PROCESSING AND PRIVACY PRESERVING INFRASTRUCTURE
Simplified Explanation
The method described in the abstract involves receiving an audio/video input signal from a remote device, identifying sensitive objects within the signal, evaluating processing workloads, selecting heavy processing workloads for sensitive objects, encrypting the sensitive objects using homomorphic encryption, and sending the encrypted data to a compute service provider.
- Receiving audio/video input signal from a remote device
- Identifying sensitive objects within the signal
- Evaluating processing workloads
- Selecting heavy processing workloads for sensitive objects
- Encrypting sensitive objects using homomorphic encryption
- Sending encrypted data to a compute service provider
Potential Applications
This technology could be applied in secure video conferencing, data privacy protection in cloud computing, and secure data processing in IoT devices.
Problems Solved
This technology solves the problem of protecting sensitive objects in audio/video signals during processing, ensuring data privacy and security.
Benefits
The benefits of this technology include enhanced data security, protection of sensitive information, and secure data processing in cloud environments.
Potential Commercial Applications
Potential commercial applications of this technology include secure video conferencing platforms, data encryption services for cloud computing providers, and secure data processing solutions for IoT devices.
Possible Prior Art
One possible prior art could be the use of homomorphic encryption in data processing to protect sensitive information.
Unanswered Questions
How does this technology compare to existing encryption methods for protecting sensitive data during processing?
This article does not provide a direct comparison to existing encryption methods for protecting sensitive data during processing. It would be helpful to understand the specific advantages and disadvantages of using homomorphic encryption in this context.
What are the potential limitations or challenges of implementing this technology in real-world applications?
The article does not address the potential limitations or challenges of implementing this technology in real-world applications. It would be important to consider factors such as computational overhead, scalability, and compatibility with existing systems.
Original Abstract Submitted
a method comprises receiving, from a remote device, an audio/video input signal, identifying one or more objects in the audio/video input signal tagged as a sensitive object, evaluating a set of workload requirements for a set of processing workloads comprising portions of the audio/video input signal, selecting one or more heavy processing workloads in the set of processing workloads to send to a compute service provider, in response to a determination that the one or more heavy processing workloads comprises one or more objects tagged as a sensitive object, encrypting the one or more objects tagged as a sensitive object using a homomorphic encryption protocol to generate a first homomorphically encrypted string, and sending the first homomorphically encrypted string to the compute service provider via a privacy protected communication channel.
