The Concept Developed for Mobile App — EquipAny.

#activityrecognition #construction #landsubsidence #riskmethodology

Activity Recognition is a key part of the KlinterAI side of EquipAny Mobile App.

Recording a Risk through a Risk Register, involves integrating Traceability into the App, through Object Detection, Anomaly Detection, and moreover Activity Recognition Methods.

As part of the SAS Hackathon, we developed EquipAny as part of the KlinterAI project.

Our Team at KlinterAI, developed a Risk Methodology mapping the Incidents and Risks at a Construction Site.

EquipAny — Impact and Likelihood, Risk Assessment, for 7 Cases

Along the Impact and Likelihood are 7 of the 9 Cases: From “Work Stoppages Causing Productivity Losses” to “Falling Material(s)”.

EquipAny — 9 Cases of EquipAny Risk Register

The Issues are Categorized as Potential Issue(s), Potential Risk(s), Incident(s) and Environmental Incident(s) based on:

“Machine Learning Algorithms” and By “Applying Artificial Intelligence” Methods.

EquipAny — “Unexpected Delays” — “Major Incidents”

Motivation — For Construction Piling Foundations

Motivation — Land Subsidence in Central Valley of California

In the Central Valley of California there is Land Subsidence due to a Lack of Ground Water. Ground Water Recharge needs to be in place, for the Soil. There are Cultivated Lands for such purposes, seen as Patches above in the image.

Compliance Reasons
According to Climate Change Act 2008, The General Ancillary Powers, are provided to the Committee to enter into contracts within, possibly Construction Site(s), where there could be an Oil Leakage for example.

Such General Ancillary Powers, can publish certain results of activities carried out by the Committee or others.

Publishing Oil Leakage, into the Social Media, using a Mobile Screenshot, would just damage the reputation of the Construction Site(s) and the Related Provenance.

A Business Case — about using Ancillary Services with KlinterAI

According to the Pitch Video, KlinterAI, the AI Solution, would provide Technical Support and Data Stewardship Support using AI and non-AI Solutions, which could be integrated with the mobile apps. Please see this: screenshots extracted from an Animated Video.