1. load_carrying_crane-two-cranes-partial-annotated-spot-on-technical-process-metadata-1

DATA COLLECTION

Minimizing the Costs

A Construction Site project with a considerable duration, such as 6 month generates an enormous amount of information in the form of text, images and other data formats. Integrating Detection and Recognition based Algorithms with the help of Models will produce data that is forensic ready.

Manage Risks through a Risk Register and Record Delays.

READINESS TOWARDS DATA MANAGEMENT.

DATABASE OF POs

Automated Error Checking and Validation
Minimizing Material Wastage

MACHINERY METADATA

Piling Rig Data from Specifications
Importing Machinery into the Construction Site

CYBER INVESTIGATIONS

Minimize the costs of investigations
Promote Discoverability of Equipment Metadata

TRACEABILITY

Trace-Back Specified Duration
Connect Identified Risks to Detected

IoT METADATA

EPC (Electronic Purchase Code) Number
Maintenance Lifecycle Details

EVENT RECORD

IoT Time-Series Data
IoT and Machinery Metadata
Machine Learning Activity Record Data

NETWORK TRAFFIC.

TRAFFIC ANALYZER

Network Traffic Analysis
Ensuring Accountability for Cost-Codes

PACKET DATA

Database-codes and Device-codes
Vision-based Productivity Improvement

What is SNMP_ _ SNMP Agent-Protocol & Port - ManageEngine OpManager

SNMP MONITORING

Supporting SNMP POLL Processes
Improving Authentication Processes in Transfer of IoT Metadata from Machinery

EquipAny MOBILE APPLICATION.

IDENTIFY RISK

Traceability in Issue/Risk Register
Reporting risks, issues and incidents; and Developing Risk/Issue Register
Visualization of Incidents and Risks

SAS HACKATHON 2023

Top 3 Finalist in Manufacturing Sector
Finalist in IoT Sector
4 Team Members

HEALTH & SAFETY

HSE Approval, Reporting and Team Building
Workflow of HSE, Workforce and Project Management

MOTIVATION

WSIS Forum 2023, DGA Hackathon - ITU
Govstack.Github.io Framework
Drift Detection on IoT Devices

DATABASE AND DEVICES

Database-codes and Device-codes
Machine Learning Driven, Construction Foundation Dataset Driven and Computer-Vision based

ORIGIN OF BRAND

KlinterAI: From Clinker, meaning residue in concrete manufacturing.
Multi-Factor Productivity vs Market output
Construction Foundation Dataset with 14k+ images

Use Case: Code-based Representation

Vision-related processes containing Device-codes on VEXF and Information Exchange

Database-codes on Procurement, Contract and Project

- Observability by Parts
- Integrating Safety at Sites
- Verifiable Data Collected at the Client side
- Supporting Insurances Related to Any Productivity Losses Detected
- Enabling Equal Opportunities to the Client and Claimant

Handshake - Poll - Storage - Expose.

THE PROCESS OF DATA COLLECTION.

Risk Register and Issues Recorded.

THE PROCESS OF IENTIFYING RISKS.

Interviews and Brainstorming.

52802824491_21b78afe6c_k-Jun-07-2023-09-54-04-3770-AM

Designed Logos

Research into Business Cases

GovStack Github Collaboration from ITU Framework

Architecture Developed from Digital Government Authority, GovStack Framework as per Dec 2022

Demonstration of a Sample Information Exchange within IoT Devices inside Machinery

For Developing the Issue Register towards Reporting Risks and Incidents at Construction Site, we developed a table of Issues with Case Names connecting at least 15 Activities or Objects Recognized for the purposes of Measuring Productivity Losses.

Improving Insights into Risks and Incidents

RISK COVERAGE THROUGHOUT SITE WORK

We developed Synthetic Dataset using mockaroo.com and uploaded that to our Github Repository into Reported_Issues.csv file
At SAS Hackathon we were able to demonstrate the usage of such a Dataset
Certain Delays caused could be concentrated on for further improvement
Our Vision camera will have timestamp-based recordings of Computer Vision detected events

THE COMPETITIONS PHASE AND PROCEEDING FUNDING PHASE.