Dell products l.p. (20240135305). ADAPTIVE LOGISTICS NAVIGATION ASSISTANCE BASED ON PACKAGE FRAGILITY simplified abstract
Contents
- 1 ADAPTIVE LOGISTICS NAVIGATION ASSISTANCE BASED ON PACKAGE FRAGILITY
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 ADAPTIVE LOGISTICS NAVIGATION ASSISTANCE BASED ON PACKAGE FRAGILITY - 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
ADAPTIVE LOGISTICS NAVIGATION ASSISTANCE BASED ON PACKAGE FRAGILITY
Organization Name
Inventor(s)
Jason Bonafide of Winter Garden FL (US)
Nalinkumar Mistry of Ottawa (CA)
Vinicius Michel Gottin of Rio de Janeiro (BR)
ADAPTIVE LOGISTICS NAVIGATION ASSISTANCE BASED ON PACKAGE FRAGILITY - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240135305 titled 'ADAPTIVE LOGISTICS NAVIGATION ASSISTANCE BASED ON PACKAGE FRAGILITY
Simplified Explanation
The patent application describes a method for detecting anomalous driving patterns of a movable edge node in an edge environment based on sensor data and aggregate fragility levels.
- Receiving datasets from sensors with sensor data associated with fragility levels
- Extracting features from the datasets
- Determining events indicating anomalous driving patterns
- Generating an alarm based on a predetermined threshold linked to fragility levels
Potential Applications
This technology could be applied in various industries such as transportation, logistics, and supply chain management to monitor the condition of packages during transit.
Problems Solved
This technology helps in identifying potential risks to packages being transported by detecting anomalous driving patterns, ensuring the safety and security of the transported goods.
Benefits
- Improved monitoring and tracking of packages - Early detection of potential issues during transportation - Enhanced overall efficiency and safety in logistics operations
Potential Commercial Applications
"Enhancing Package Security and Monitoring in Transportation with Fragility-Based Anomaly Detection"
Possible Prior Art
There may be prior art related to sensor-based anomaly detection systems in transportation and logistics industries, but specific examples would need to be researched further.
What is the accuracy rate of detecting anomalous driving patterns using this method?
The accuracy rate of detecting anomalous driving patterns using this method would depend on the quality of the sensor data, the effectiveness of the feature extraction process, and the reliability of the predetermined threshold for generating alarms.
How scalable is this technology for different types of edge environments and movable edge nodes?
The scalability of this technology for different types of edge environments and movable edge nodes would depend on the adaptability of the feature extraction process and the flexibility of the predetermined threshold settings to accommodate various scenarios. Further research and testing would be needed to determine the scalability of the technology.
Original Abstract Submitted
one example method includes receiving datasets based on one or more instances of sensor data that are received from one or more sensors. the sensor data is associated with an aggregate fragility level that indicates how fragile one or more packages being transported by a movable edge node in an edge environment are. features that are based on the datasets are extracted. based on the extracted features, events that indicate anomalous driving patterns for the movable edge node are determined. in response to determining the events, an alarm based on a predetermined threshold that is based on the aggregate fragility level is generated.
