Spatio-Temporal Verification of Business Processes

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Solution Overview

Problem

Business process monitoring using video surveillance is susceptible to deception, as workers can turn off and on recording devices without being detected, and image capture methods can be manipulated to falsify completion of tasks, leading to discrepancies in location and time information that are not easily verifiable.

Innovation Solution

A method and apparatus that utilize position and direction information from image capture devices to determine the location of a target object within a plurality of images, comparing this information to predefined processes to identify discrepancies and notify users of any deviations, thereby ensuring adherence to business processes.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If video surveillance is used to monitor business processes, then workers can be observed performing their duties, but workers can turn off and on recording devices to deceive the monitoring system

Engineering Contradiction:
Improvemonitoring reliabilityVSAvoidsurveillance system complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent introduces an intermediary verification mechanism that cross-checks multiple data sources (video footage, access control logs, work order systems, time clocks) to validate worker actions. This intermediary layer prevents deception by requiring consistent information across multiple independent systems, making it impossible for workers to falsify their activity without detection.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The system implements continuous feedback loops where monitoring data is immediately analyzed and compared against expected business processes. When discrepancies are detected (such as mismatched timestamps or locations), the system automatically generates alerts and notifications, providing real-time feedback that prevents deceptive practices from succeeding.

Inventive Principle:
Principle #23Feedback

2Loss of information

If image capture devices are used to verify task completion, then task completion can be documented, but location and time information can be manipulated to falsify completion

Engineering Contradiction:
Improveverification accuracyVSAvoiddata verification complexity
Core Design Contradiction:
Loss of informationVSDevice complexity

Solution Approach 1:

The patent merges multiple verification mechanisms into a single integrated system that combines image capture, GPS location tracking, timestamp verification, and cross-reference checking with business process management systems. This unified approach ensures that all verification data is collected and analyzed together, preventing manipulation of individual data points while maintaining comprehensive verification accuracy.

Inventive Principle:
Principle #5Merging (Combining)

3Reliability

If random product verification is implemented in manufacturing, then product quality can be monitored, but comprehensive process verification remains difficult

Engineering Contradiction:
Improvequality monitoring reliabilityVSAvoidverification efficiency
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

The patent implements preliminary verification by continuously collecting and validating data throughout the business process execution, rather than performing random checks after completion. Location tags, timestamps, and process step validations are verified in real-time as activities occur, ensuring comprehensive verification without requiring post-hoc random sampling, thus maintaining both reliability and productivity.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS10049456B2Verification of business processes using spatio-temporal data
Publication Date: 2018.08.14 INTERNATIONAL BUSINESS MACHINE CORPORATION
  • US10049456B2 patent drawing
  • US10049456B2 patent drawing
  • US10049456B2 patent drawing

AI summary

One embodiment provides a method of identifying a location of a target object within a plurality of images, the method including: utilizing at least one processor to execute computer code that performs the steps of: receiving a plurality of images; receiving position information indicating a central location, wherein the central location comprises a location that the plurality of images were taken; receiving direction information indicating a position of a target object with respect to the central location, wherein one of the plurality of images contains the target object; and determining, using the position information and the direction information, a target location, wherein the target location comprises a location of the target object. Other aspects are described and claimed.