Dell products l.p. (20240135262). AUTOMATICALLY PREDICTING DEVICE RECYCLING OPPORTUNITIES USING ARTIFICIAL INTELLIGENCE TECHNIQUES simplified abstract
Contents
- 1 AUTOMATICALLY PREDICTING DEVICE RECYCLING OPPORTUNITIES USING ARTIFICIAL INTELLIGENCE TECHNIQUES
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 AUTOMATICALLY PREDICTING DEVICE RECYCLING OPPORTUNITIES USING ARTIFICIAL INTELLIGENCE TECHNIQUES - 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
AUTOMATICALLY PREDICTING DEVICE RECYCLING OPPORTUNITIES USING ARTIFICIAL INTELLIGENCE TECHNIQUES
Organization Name
Inventor(s)
David J. Linsey of Marietta GA (US)
Bijan Kumar Mohanty of Austin TX (US)
Hung T. Dinh of Austin TX (US)
AUTOMATICALLY PREDICTING DEVICE RECYCLING OPPORTUNITIES USING ARTIFICIAL INTELLIGENCE TECHNIQUES - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240135262 titled 'AUTOMATICALLY PREDICTING DEVICE RECYCLING OPPORTUNITIES USING ARTIFICIAL INTELLIGENCE TECHNIQUES
Simplified Explanation
The abstract of the patent application describes methods, apparatus, and processor-readable storage media for automatically predicting device recycling opportunities using artificial intelligence techniques.
- Obtaining data associated with one or more devices
- Determining end of life-related information for the devices by processing the obtained data
- Predicting device recycling opportunities for the devices using artificial intelligence techniques
- Performing automated actions based on the predicted recycling opportunities
Potential Applications
This technology could be applied in the electronics recycling industry to streamline the process of identifying devices that are ready for recycling.
Problems Solved
This technology solves the problem of manually identifying devices that are at the end of their life cycle and ready for recycling, saving time and resources for recycling companies.
Benefits
The benefits of this technology include increased efficiency in the recycling process, reduced human error in identifying devices for recycling, and potentially higher recycling rates.
Potential Commercial Applications
- "Streamlining Device Recycling Opportunities Prediction Using AI Techniques"
Possible Prior Art
One possible prior art could be manual processes or basic algorithms used to identify devices for recycling, which may not be as accurate or efficient as the AI techniques described in this patent application.
Unanswered Questions
How does this technology handle data privacy and security concerns?
This article does not address how the technology ensures the protection of sensitive data related to the devices being recycled.
What is the scalability of this technology for large-scale recycling operations?
The article does not provide information on how well this technology can scale to handle a high volume of devices in large recycling facilities.
Original Abstract Submitted
methods, apparatus, and processor-readable storage media for automatically predicting device recycling opportunities using artificial intelligence techniques are provided herein. an example computer-implemented method includes obtaining data associated with one or more devices; determining end of life-related information for the one or more devices by processing at least a portion of the obtained data; predicting at least one device recycling opportunity for at least one of the one or more devices by processing at least a portion of the determined end of life-related information using one or more artificial intelligence techniques; and performing one or more automated actions based at least in part on the at least one predicted device recycling opportunity.
