18527377. FUTURE EVALUATION DEVICE AND FUTURE EVALUATION METHOD simplified abstract (HONDA MOTOR CO., LTD.)

From WikiPatents
Revision as of 08:45, 14 June 2024 by Wikipatents (talk | contribs) (Creating a new page)
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to navigation Jump to search

FUTURE EVALUATION DEVICE AND FUTURE EVALUATION METHOD

Organization Name

HONDA MOTOR CO., LTD.

Inventor(s)

Masato Okubo of Tokyo (JP)

Eriko Yamamoto of Tokyo (JP)

FUTURE EVALUATION DEVICE AND FUTURE EVALUATION METHOD - A simplified explanation of the abstract

This abstract first appeared for US patent application 18527377 titled 'FUTURE EVALUATION DEVICE AND FUTURE EVALUATION METHOD

The future evaluation device described in the patent application includes a system that detects the departure facilities of multiple moving objects and their visits to facilities different from their departure points. It also involves storing facility information, such as category and location, in a map information storage unit. Additionally, the device stores data on the number of previous visits of each moving object to facilities different from their departure points based on the category of the departure facility.

  • Visit detection unit tracks departure facilities and visits to different facilities
  • Map information storage unit stores facility details like category and location
  • Comparative data information storage unit records previous visits to different facilities
  • Prediction condition receiving unit collects user-specified facility information
  • Evaluation unit generates predictive index information for the user-specified facility based on visit comparison data

Potential Applications: - Retail analytics for predicting customer behavior - Tourism industry for forecasting visitor trends - Security systems for monitoring movement patterns

Problems Solved: - Predicting future visits to specific facilities - Analyzing visitor behavior based on departure locations - Enhancing decision-making processes for facility management

Benefits: - Improved resource allocation based on predicted visitor patterns - Enhanced customer experience through personalized services - Increased efficiency in facility operations through data-driven insights

Commercial Applications: Title: Predictive Facility Evaluation Technology for Enhanced Customer Experience This technology can be utilized in retail stores, tourist attractions, and security systems to optimize operations and improve customer satisfaction.

Prior Art: Readers can explore prior research on visitor tracking systems, predictive analytics in retail, and location-based services for related information.

Frequently Updated Research: Stay informed about advancements in predictive analytics, visitor tracking technologies, and facility management systems to enhance the capabilities of this innovation.

Questions about the Future Evaluation Device: 1. How does the device differentiate between departure facilities and visited facilities? 2. What are the key factors considered in generating predictive index information for user-specified facilities?


Original Abstract Submitted

The future evaluation device includes a visit detection unit that detects departure facilities of a plurality of moving objects and a visit to a facility different from each departure facility, a map information storage unit that stores facility information including category information and location information on a facility, a comparative data information storage unit that stores, for the facility different from each departure facility, the number of previous visits of each moving object to the facility according to the category of departure facility as comparative data information, a prediction condition receiving unit that receives, as a user-specified facility, information on a facility specified by a user from the facility information, and an evaluation unit that creates predictive index information on the future of the user-specified facility from a proportion change based on comparison between the number of visits according to the category of departure facility and the comparative data information.